Psychological & Mental Health Education
#1
An Analysis of the Role of Teacher Support and Social Interaction in Promoting Student Engagement in Online Education from a Psychological Perspective
Yang Liu1, Hongli Dong2
1Department of Pharmacy, Nantong Health College of Jiangsu Province, Nantong Jiangsu 226000, China
2Scientific Education Section, Affiliated Matern&Child Care Hospital of Nantong University, Nantong, 226018 China
Objective: The objective of this study is to investigate the impact of teacher support and social interaction on student engagement in online education from a psychological perspective. We aim to explore how these factors influence students' participation and active involvement in online learning environments.
Methods: Participants: A total of 120 students from various educational backgrounds were randomly selected to participate in the study. Experimental Design: The participants were divided into three groups: Teacher Support Group (n=40): In this group, students received personalized feedback and encouragement from their teachers regularly throughout the online course. Social Interaction Group (n=40): In this group, students actively engaged in group discussions and collaborative activities with their peers during the online course. Control Group (n=40): Students in this group received standard online course materials but did not receive personalized teacher support or engage in social interaction with peers. To assess student engagement, we collected data on the following parameters: Attendance rates: The number of days each student participated actively in the online course. Interaction frequency: The number of interactions (e.g., comments, questions) made by each student on the course platform. The average performance of students on quizzes and assessments during the course.
Results: Teacher Support Group: Students in this group demonstrated significantly higher attendance rates (84%), a greater number of interactions (average 55 interactions per student), and higher quiz scores (average score of 85%) compared to the other two groups. Social Interaction Group: Students in this group showed moderately higher attendance rates (78%), a moderate number of interactions (average 40 interactions per student), and quiz scores (average score of 75%) compared to the Control Group. Control Group: Students in this group had the lowest attendance rates (62%), the fewest interactions (average 28 interactions per student), and the lowest quiz scores (average score of 68%).
Conclusion: The findings of this study highlight the significant role of teacher support and social interaction in promoting student engagement in online education from a psychological perspective. Personalized teacher feedback and encouragement positively influence students' active participation in online courses, leading to improved attendance rates and quiz scores. Additionally, social interaction with peers contributes to enhanced engagement, although to a lesser extent compared to teacher support. These results emphasize the importance of fostering a supportive and interactive learning environment in online education to enhance students' overall learning experience and psychological well-being.
#2
Research on the integrated training of educational science and technology talents under the background of psychological theory and the transformation of old and new kinetic energy in Shandong Province
Yanqing Zhang1, Yanhui Cheng1, Xiaobing Yan1, Chunmei Chen1, Jianlu Ji2
1Taishan College of Science and Technology, Tai’an, China
2Shandong North Optical Electronics Co. Ltd., Shandong Tai’an, China
Objective: To resolve the structural contradiction of “theory-practice imbalance” in engineering education through psychological principles, supporting Shandong's industrial transformation and national engineering education reform.
Methods: Developed an integrated “education-technology-talent” model grounded in psychological frameworks: 1) Cognitive Psychology: Implemented “2 + 1 + 1” segmented training using cognitive load theory for category-based enrollment and developmental stage theory for major-direction integration; 2) Constructivist & Social Learning: Project-led curriculum restructuring (“foundation + direction + module”) applying Vygotsky's constructivism and Bandura's observational learning, with industry case internalization; 3) Experiential & Metacognitive Development: Four-tier practice system (basic-incubation) built on Kolb's experiential cycle (CE-RO-AC-AE) and Ericsson's deliberate practice for metacognitive monitoring; 4) Social Cognitive Integration: Industry-academia co-development via Bandura’s triadic reciprocity (behavior-cognition-environment) and Lave's situated learning in course co-design.
Results: Significantly enhanced students' intrinsic motivation, metacognitive abilities, engineering practice competence, and innovation/entrepreneurship literacy.
Conclusion: Psychology-anchored model successfully bridges theory-practice gaps while developing adaptive expertise, providing replicable framework for engineering education reform. Provides sustainable talent support for upgrading regional electronic information industries and advances national engineering education reform.
#3
Psychological Foundations and Mechanism-Based Pathways for Enhancing the Affinity of Ideological and Political Education
Yuanhong Wang, Ke Wang, Yang Zhang
School of Humanities Education and Application, Sichuan Technology and Business University, Chengdu, China
Objective: This study aims to advance a mechanism-based psychological framework for understanding and enhancing the affinity of ideological and political education (IPE). Conceptualizing affinity as a multidimensional construct encompassing emotional acceptance, cognitive alignment, and behavioral engagement, the study examines the internal psychological processes through which instructional practices facilitate value internalization. Particular attention is given to the integration of mental health perspectives in explaining sustainable educational engagement.
Methods: Using a theory-driven conceptual analysis, this study synthesizes insights from self-determination theory, social identity theory, and contemporary mental health frameworks. A systematic review and integrative analysis of existing educational psychology literature were conducted to identify core mediating mechanisms, including basic psychological need satisfaction, emotional resonance, cognitive congruence, perceived relatedness, and psychological safety. Based on this synthesis, a process-oriented conceptual model is developed to explicate how pedagogical environments influence motivational regulation, identity formation, and psychological well-being.
Results: The analysis suggests that affinity emerges through a progressive internalization process in which autonomy support and relational connectedness foster intrinsic motivation and identification with endorsed values. Emotional resonance and dialogical engagement function as proximal mediators that transform externally presented ideological content into self-endorsed beliefs. Moreover, psychologically safe and supportive classroom climates are theorized to operate through a stress-buffering pathway, mitigating anxiety and defensive resistance while enhancing resilience and well-being. The proposed model positions mental health not merely as an outcome variable but as a regulatory mechanism that reinforces sustained engagement and identity-based commitment.
Conclusion: The findings underscore the importance of adopting a psychologically grounded and mechanism-oriented approach to IPE. By aligning pedagogical strategies with fundamental motivational and socio-emotional processes, educators can promote deeper value internalization while simultaneously supporting students’ psychological health. This study contributes to the interdisciplinary dialogue between educational psychology and value education research by offering a theoretically integrative model that explains how affinity is constructed, regulated, and sustained within contemporary educational contexts.
#4
The Humanistic Psychological Foundations of Ideological and Political Education and Their Contemporary Implications
Yuanhong Wang, Yang Zhang, Ke Wang
School of Humanities Education and Application, Sichuan Technology and Business University, Chengdu, China
Objective: This study aims to systematically examine the humanistic psychological foundations of ideological and political education (IPE) and to articulate their contemporary implications within the context of student development and mental health promotion. Moving beyond instrumental and compliance-based interpretations of IPE, the study conceptualizes it as a person-centered developmental process grounded in humanistic psychology. It seeks to clarify how core humanistic principles—such as self-actualization, intrinsic growth, empathy, and unconditional positive regard—provide a psychological basis for fostering authentic value internalization and sustainable engagement.
Methods: Adopting a theory-driven conceptual approach, this study integrates foundational perspectives from humanistic psychology with contemporary educational psychology and mental health research. Through systematic conceptual analysis and interdisciplinary synthesis, key constructs—including self-concept development, autonomy support, empathic communication, psychological safety, and meaning-making—are examined in relation to ideological education practices. A humanistic-process model is proposed to explain how person-centered pedagogical environments influence motivational regulation, identity formation, and psychological well-being.
Results: The analysis indicates that the humanistic psychological foundation of IPE lies in its capacity to support students’ self-concept coherence and intrinsic growth tendencies. When educational practices emphasize empathy, dialogical engagement, and respect for individual subjectivity, students are more likely to internalize ideological values through reflective identification rather than external conformity. Furthermore, psychologically supportive environments characterized by authenticity and unconditional positive regard are theorized to reduce defensive resistance, alleviate psychological distress, and strengthen resilience. Mental health is conceptualized not merely as an auxiliary outcome but as an integral condition that enables open cognitive processing, moral reasoning, and identity integration. The proposed framework highlights the reciprocal relationship between value education and psychological well-being.
Conclusion: Reconstructing ideological and political education on a humanistic psychological foundation offers a transformative pathway for its contemporary development. By prioritizing personal dignity, emotional attunement, and intrinsic motivation, IPE can move toward a more dialogical, growth-oriented, and mentally health-supportive paradigm. This study contributes to the theoretical advancement of IPE by embedding it within a humanistic-developmental framework and provides contemporary implications for cultivating psychologically resilient, self-aware, and socially responsible individuals in higher education contexts.
#5
Research on the practical path of ritual education for normal students under the guidance of ideological and political values and the integration of red culture and psychology
Haiyan Liu
Changsha Normal University Elementary Education College, Changsha, China
Objective: This study aims to explore how to deeply integrate red culture and psychology under the guidance of ideological and political values, and use the form of ritual education to cultivate the ideological and political consciousness and mental health literacy of normal university students in the form of ritual education. From the perspective of psychology, it reveals the function mechanism of red culture education in shaping students' values and emotional identity, and constructs the innovative path of ritual education for normal university students.
Methods: With red culture as the core, this study designs immersive red historical situational drama performances and collective ceremony activities to enhance the collective sense of belonging of normal university students. At the same time, the interview and reflection log method is adopted to collect students' subjective feelings about the ritual education activities, and deeply analyze the educational effect of the integration of red culture and psychology.
Results: Under the guidance of ideological and political values, the ritual education practice of integrating red culture and psychology can significantly enhance the level of value identity and emotional resonance of normal university students. The combination of immersive situation and psychological intervention method makes students more likely to accept the educational connotation of red culture and enhances students' inner motivation.
Conclusion: The deep integration of red culture and psychological methods can provide an effective path for ritual education. This kind of educational practice can shape students' ideological and political literacy and promote their mental health development. In the future, the form of ritual education should be further optimized, strengthen the application of psychological theory in red culture education, and provide new ideas for the cultivation of normal university students' cultural identity and psychological literacy.
#6
Psychological Effects of Health Education Intervention on Young Adults’ Health Awareness: Quasi-Experimental Study
Xinanqi Zhang
College of Education, Wenzhou-Kean University; Wenzhou City, Zhejiang Province, China
Objective: Comprehensive health awareness is a multi-dimensional concept, with mental health knowledge and emotional health status being its fundamental determinants, especially among young people. This group is highly susceptible to issues related to stress, academic anxiety, and emotional disorders, which often cause damage to overall health-promoting behaviors. Therefore, educational methods that enhance overall health awareness through psychological empowerment are an important research focus in health psychology. The educational environment, including English as a Foreign Language (EFL) classroom, may provide an accessible social cognitive platform for providing such health-oriented educational interventions. However, evidence regarding the effectiveness of psychological educational interventions in these environments is still limited. This study aims to examine the effect of a health education intervention based on psychological principles on the health awareness and mental health of young people.
Methods: This study was conducted in a regular classroom environment, using a control group approach with pre-test/post-test design. A total of 120 young people aged 18 to 20 participated, and they were divided into the intervention group (n=60) and the control group (n=60). The intervention group received a four-week health education in the EFL classroom, integrating psychological knowledge (such as emotion regulation, cognitive restructuring, and stress management) into daily teaching. The control group continued with regular teaching without any psychological content. Before and after the intervention, the Health-Promoting Lifestyle Profile II (HPLP-II) was used to assess everyone’s health awareness, with a particular focus on the psychological aspects. During the analysis, we used paired sample t-tests to observe the internal changes within each group, independent sample t-tests to compare the differences between the two groups, and Cohen’s d to calculate the effect size (p<0.05).
Results: Before the intervention, the health awareness of the two groups was comparable. After four weeks of intervention, the intervention group showed significant improvement, while the control group remained almost unchanged. Particularly, the improvement in psychological aspects was the most prominent, including stress management, emotional recovery ability, and interpersonal relationship skills, all of which showed significant progress. It proves that integrating psychological knowledge into health education intervention in EFL classrooms can effectively enhance the overall health awareness and psychological well-being of young people.
Conclusion: A health education intervention, based on psychological strategies and implemented through English as a second language classroom environment, significantly enhanced the comprehensive health awareness and mental health status of young people. These findings indicate that group psychological intervention measures implemented in regular educational settings may be effective methods for promoting overall health, emotional resilience, and preventive health psychology.
#7
Analysis of Psychological Influencing Factors on the Learning Effectiveness of Online Courses
Peijiang Chen1, Mei Zhang2
1School of Mechanical and Vehicle Engineering, Linyi University, Liny, China
2Archives, Linyi University, Linyi, China
Objective: To analyze the psychological factors influencing the learning effectiveness of engineering students in online courses and their mechanisms of action, clarify the logical impact of each factor on learning outcomes, and provide empirical support for optimizing online learning strategies and enhancing learning effectiveness.
Methods: Taking 360 students with online course learning experience from the engineering schools at Linyi University as the research subjects, a questionnaire survey was conducted using the “Online Course Learning Effect Influencing Factors Scale” that had undergone reliability and validity testing. The survey covered three core dimensions: personal psychological traits (metacognitive ability, self-efficacy, learning self-discipline), learning psychological state (learning motivation, course interest, learning initiative), and environmental psychological perception (course perception, group belongingness), as well as observed indicators of online course learning effectiveness. Correlation analysis, multiple regression analysis, and structural equation modeling were employed to conduct empirical analysis on the influencing factors of online course learning effectiveness, exploring direct effects, indirect effects, and path relationships among variables.
Results: Relevant analysis shows that all 8 core psychological factors are significantly positively correlated with learning outcomes, with the most prominent correlations between course perception and learning motivation, learning motivation and learning initiative, indicating the stimulating effect of environmental perception on motivation and the close correlation between motivation and behavior transformation. Structural equation modeling indicated that course perception and group belonging had significant positive effects on learning motivation. Learning motivation influenced learning outcomes through the partial mediating role of learning proactivity, forming a chain mediation path of “environmental perception - learning motivation - learning proactivity - learning outcomes”. Additionally, self-efficacy and metacognitive ability not only had significant direct positive effects on learning outcomes but also influenced them through learning self-discipline. The overall fit of the model is good, and the mechanism of action has good explanatory power.
Conclusion: The learning effectiveness of engineering students in online courses is jointly influenced by three psychological factors: personal psychological traits, learning psychological state, and environmental psychological perception. Course perception and group belonging serve as environmental triggers that activate learning motivation, which is then transformed into actual learning behavior through learning initiative. Subsequently, self-efficacy, metacognitive ability, and learning self-discipline ultimately affect learning outcomes. The study analyzes the psychological factors influencing online course learning effectiveness, providing a theoretical basis for optimizing online course instructional design.
Acknowledgements: This work was supported by the higher education undergraduate teaching reform research project of Shandong Province (M202302, Z2023005, Z2024297), Vocational Education Theoretical and Practical Research Support Project of the Center for Vocational Education Development, Ministry of Education (JZZC25027).
#8
Research on the Impact of “Local Internationalization” Education in Universities on Students’ Psychological Development
Chen Lv, Yuanyuan Xu, Yunjiao Xu
School of Economics and Management, Tianjin Chengjian University, Tianjin, China
Objective: This study mainly explores the key characteristics and formation mechanisms of students' psychological development in the context of “local internationalization” education. Through this analysis, we hope to provide psychological theoretical support for optimizing the practical path of international education and promoting students' comprehensive growth.
Methods: This study focuses on 300 undergraduate students participating in the “Local Internationalization” project at our university, who are divided into three categories based on their disciplinary backgrounds: humanities, science, and engineering. The study adopts a longitudinal tracking design, which involves conducting a pre-test before project initiation and conducting a post test after students have completed all activities. The first aspect is psychological development assessment. Focus on four aspects: firstly, global awareness, which measures whether students exhibit a more open and inclusive attitude towards multiculturalism; The second is self-efficacy, which tests whether students have more confidence when facing international communication situations; The third is emotional stability, which evaluates whether students can maintain emotional stability when facing conflicts caused by cultural differences; The fourth is interpersonal trust, which measures whether students have a stronger sense of security in interacting with people from different backgrounds. The second aspect is the testing of the impact mechanism. Using structural equation modeling, analyze the correlation between students' level of educational participation and various psychological development indicators. Focus on examining whether there are any mediating variables playing a role in it.
Results: Firstly, participants showed a significant improvement in overall psychological development. Among them, “global self-efficacy” increased by 28%, cross-cultural sensitivity increased by 31%, and interpersonal trust increased by 19%. The post test values of various indicators are higher than the pre-test values, and statistical tests also show significant differences. In addition, participants' emotional stability has been enhanced, with an average decrease of 15% in anxiety levels when faced with conflict situations. Secondly, the mechanism of action is relatively clear. The collaborative tasks set up in international courses have enhanced students' cross-cultural communication skills, further strengthening their global self-efficacy and emotional resilience. Cross cultural communication skills play a mediating role in it. Finally, there are significant differences between individuals. For students who have limited cross-cultural exposure experience at the beginning and have not participated in international exchange activities, their psychological improvement is more prominent, with a 1.8-fold increase in global sensitivity compared to those who previously participated frequently. In addition, about 12% of students experienced conflicts due to cultural differences in the early stages of the project, experiencing a brief period of adaptation anxiety, mainly manifested as a rejection attitude towards “viewpoints different from their own”.
Conclusion: The educational approach of “local internationalization” can create diverse cross-cultural interaction scenes on campus, thereby significantly expanding students' global perspectives, enhancing their emotional adaptability and interpersonal trust level. Its key mechanism of action is to enable participants to complete tasks together in real cross-cultural communication, continuously accumulate self-efficacy in this process, and enhance psychological resilience. In this regard, universities can further optimize the project design of “local internationalization” and strengthen guidance in conflict resolution, especially focusing on students with relatively insufficient initial experience to help them effectively cope with psychological changes.
Acknowledgment: National Education Science Planning Project: Research on Multidimensional Identification of “Internationalization at Home” Learning Needs for College Students and Corresponding Teaching Mode Design (DIA220368).
#9
Construction and Empirical Study of the “Empathy-Transfer” Teaching Model for Classical Ancient Literature in Higher Vocational Education from the Perspective of Educational Psychology
Rui Tan
Shanxi Management Vocational College, Linfen, Shanxi, China
Objective: This study aims to address current difficulties in the teaching of classical ancient literature in higher vocational education, such as marginalization of course positioning, superficial implementation of teaching, and student cognitive alienation, by tackling the core issues of insufficient emotional resonance with classical texts and difficulties in transferring knowledge and skills. By combining educational psychology theories of empathy and transfer, a teaching model for classical ancient literature adapted to the “dual cultivation of virtue and skill” objectives of higher vocational education is constructed to enhance teaching effectiveness, students' humanistic qualities, and core professional abilities.
Methods: The study employed literature review to systematically summarize relevant theories of empathy and transfer in educational psychology (such as generalization theory and relational theory) and research on the current state of higher vocational ancient literature teaching; questionnaires and interviews were used to investigate students' learning status and needs in ancient literature, as well as teachers' teaching challenges. Using action research, a pilot ancient literature course in a higher vocational institution was conducted through four stages: preparation, construction, implementation, and optimization, to carry out empirical teaching based on the “empathy-transfer” model. Classroom observation, performance analysis, and case analysis were employed to collect teaching data for quantitative and qualitative analysis.
Results: The constructed “empathy-transfer” teaching model comprises five key steps: “situational awakening – emotional empathy – cognitive transfer – practical application – evaluation and feedback.” Empirical results indicate that students in the pilot class showed significantly increased interest in and emotional resonance with classical literature, improved text interpretation, knowledge transfer abilities, and humanistic literacy scores above those of the control class. Teaching satisfaction reached over 85%, and teachers' teaching innovation capabilities were effectively enhanced. The model successfully bridges the connotations of classical texts with higher vocational students' professional cognition, addressing issues of superficial teaching and student alienation.
Conclusion: The “empathy-transfer” teaching model under the perspective of educational psychology aligns with the specific characteristics of higher vocational classical literature teaching and students' cognitive patterns. It can effectively compensate for the shortcomings of traditional teaching methods, achieving an organic unity of “educating through literature” and “empowering through skill.” The model demonstrates strong operability and promotion value, providing theoretical support and practical paradigms for the reform of higher vocational classical literature teaching, and contributes to cultivating high-quality technical talents with both cultural literacy and professional competence.
#10
The construction and practice of the three-round education system of ideological and political education in colleges and universities based on psychological empowerment from the perspective of “four-dimensional integration”
Yi Qin
Publicity Department, ChangZhou University, ChangZhou JiangSu, China
Objective: The significance of this study is to provide specific practical guidance and feasible implementation plans for ideological and political education workers in universities. By constructing a “three-pronged education” system based on psychological empowerment, it can not only effectively alleviate students' psychological pressure and improve their psychological quality, but also enhance the pertinence and effectiveness of ideological and political education, helping students better achieve comprehensive development. In addition, the application and promotion of research results also contribute to the innovative development of ideological and political education in universities, providing strong guarantees for cultivating new generations with firm ideals, beliefs, and noble moral sentiments.
Methods: Integrating psychological empowerment into the comprehensive education system of ideological and political education requires starting from multiple aspects such as curriculum design, teacher team construction, and educational resource allocation, forming a multidimensional and multi-level integration path. Firstly, in terms of curriculum design, universities can integrate the concept of psychological empowerment into their teaching content by offering courses that integrate mental health and ideological and political education. In terms of faculty development, emphasis should be placed on enhancing teachers' psychological empowerment abilities. By organizing professional training and practical activities, teachers can master basic psychological counseling skills and be able to flexibly apply them in daily teaching.
Results: Based on the perspective of “four-dimensional integration”, this study explores the construction and practical path of integrating psychological empowerment into the comprehensive education system of ideological and political education in universities, and has achieved a series of important results. Through theoretical analysis and practical verification, the key role of psychological empowerment in improving students' psychological quality and enhancing psychological resilience has been clarified, providing new theoretical support and practical directions for ideological and political education in universities.
Conclusion: This study confirms that psychological empowerment can significantly enhance the practical effectiveness of ideological and political education, for example, through courses and activities that integrate mental health and ideological and political education, students show positive changes in values shaping, social responsibility cultivation, and other aspects. In summary, the three-pronged education system for ideological and political education in universities based on psychological empowerment not only has theoretical innovation, but also demonstrates significant feasibility and promotional value in practice.
#11
Research on Psychological Health Education for College Students Based on Marxist Humanistic Thought
Quan Liu1, Guohai Mei2
1Guizhou Normal University, Guiyang, China
2School of Marxism, Central China Normal University, Wuhan, China
Objective: The purpose of this study is to explore the guiding significance of Marx's humanistic thinking for the mental health education of college students. Firstly, analyze the theoretical connotation of Marx's humanistic thinking and explain the inherent relationship between Marx's humanistic thinking and psychological health education for college students. Next, from the perspective of humanistic care, explore feasible ways to optimize mental health education. I hope to effectively enhance the psychological literacy of college students and help them achieve comprehensive growth.
Methods: Firstly, using the method of literature research, the core essence of Marx's humanistic thought is systematically sorted out, which involves theoretical content such as human nature, free and comprehensive development. Subsequently, an analysis will be conducted based on the actual situation and prominent contradictions of current college students' mental health education, such as utilitarian orientation and neglect of students' subjective needs. Next, using methods such as case analysis and questionnaire surveys, empirical investigations will be conducted on the specific practices of psychological health education for college students. Finally, summarize and generalize the specific application paths of Marx's humanistic thinking in real-life situations.
Results: Marx's humanistic thought highly values the subject status of human beings, pays attention to the shaping role of social relations on individuals, and emphasizes the comprehensiveness of development. This idea is highly consistent with the “people-oriented” concept advocated in the field of mental health education in terms of value orientation. There are three problems in the current mental health education for college students. Firstly, excessive reliance on medical intervention models neglects the initiative of students as the main body. Secondly, educational content presents fragmented characteristics and lacks deep guidance on the meaning and value of life. Thirdly, the educational approach tends to be one-way indoctrination, and there is a significant lack of interaction and communication between teachers and students. According to Marx's humanistic thinking, it is necessary to optimize mental health education from the following aspects: first, respect students' individual development while helping them build positive social connections; Secondly, it is necessary to understand psychological issues from a macro social background and avoid viewing individual troubles in isolation; Thirdly, through dialogue based educational practices, stimulate students' intrinsic driving force for self growth. Empirical research data shows that integrating humanistic concepts into mental health courses and counseling models can significantly improve students' psychological resilience, with an increase of about 23% compared to traditional models. At the same time, self-identity can also be increased by about 18%.
Conclusion: The Marxist humanistic thought plays a very important role, with its core being the establishment of students' subject status and the attention to their social attributes and comprehensive development, providing fundamental theoretical guidance for the mental health education of college students. In future educational practice, it is necessary to start from Marx's humanistic thinking and construct a systematic education system from respect to guidance and then to development. At the same time, we must continue to strengthen humanistic care and promote the important transformation of mental health education from problem correction to potential stimulation. Finally, promote the synergistic improvement of college students' psychological resilience and social adaptability.
#12
Stimulation of College Students’ Learning Motivation and Teaching Management Strategies from the Perspective of Educational Psychology
Yaqing Liu
Introduction to Nanjing Vocational Institute of Railway Technology, Jiangsu, Nanjing, China
Objective: Against the backdrop of promoting high-quality development in higher education, insufficient learning motivation among students has emerged as a critical factor constraining teaching effectiveness and the quality of talent cultivation. Currently, there remains a lack of systematic attention to motivation-stimulating mechanisms in university teaching management. It is, therefore, necessary to explore effective teaching management strategies grounded in educational psychology theories.
Methods: This study adopts a mixed research method, combining literature analysis, questionnaire survey and semi-structured interview. Firstly, an analysis framework is constructed based on self-determination theory (SDT) and expected value theory. Secondly, a questionnaire survey was conducted among 1,200 undergraduates from six universities in China, and in-depth interviews were conducted with 30 teachers and teaching administrators to obtain first-hand information on the current situation, influencing factors and intervention measures of learning motivation. Finally, the quantitative and qualitative data are integrated and analyzed by SPSS and NVivo.
Results: It is found that college students' learning motivation is characterized by “strong external drive and weak internal interest”, which is mainly influenced by three psychological needs: autonomous support, ability perception and sense of belonging. Effective teaching management strategies include: optimizing curriculum design to enhance task value, establishing a multi-evaluation system to enhance competence, and creating a supportive classroom environment to meet the needs of belonging. In addition, the incentive mechanism and teacher development support at the institutional level also have a significant positive regulatory effect on motivation.
Conclusion: This study reveals the internal mechanism of college students' learning motivation from the perspective of educational psychology, and puts forward a trinity teaching management strategy model of “psychological demand-teaching design-management support”.
#13
A Study on the Psychological Factors of Basic Music Theory Learning in Higher Education Music Education
Xinyue Li, Bingze Du
Kangwon National University, Department of Global Convergence, Chuncheon 24341, South Korea
Objective: This study focuses on music majors in universities and analyzes several key psychological factors in their basic music theory learning process, including perceptual characteristics, memory patterns, motivation levels, and anxiety. It also explains how these factors affect learning outcomes.
Methods: This study adopted a questionnaire survey method and selected 200 undergraduate students majoring in music from grades one to three as the research subjects, as follows: The first level focuses on the examination of psychological factors. Use relevant scales to measure students' intrinsic and extrinsic learning motivation, as well as their level of anxiety towards music theory rules. On this basis, further observation of learning behavior is combined, including the way classroom notes are recorded, the duration of post class exercises, the level of engagement in difficult content, and the accuracy of exam scores and rule application is included in the analysis to explore the relationship between these psychological factors and learning outcomes. The second level is teaching intervention, which involves conducting a small-scale confirmatory study. Design teaching sessions that incorporate psychological strategies based on key psychological issues identified through preliminary research. Subsequently, compare the changes in students' understanding speed and application accuracy of rules before and after intervention, and analyze the role of psychological factors in it.
Results: Firstly, among numerous influencing factors, motivation and anxiety play the most prominent role. Students driven by intrinsic learning motivation often have a more solid grasp of the knowledge system. In contrast, some students have higher levels of exam anxiety and are more likely to exhibit avoidance behavior, resulting in an average decrease of 22% in their test scores. Secondly, individual differences in cognitive styles among students directly determine the distribution of difficulties in the learning process. Most students rely mainly on repetitive mechanical memory when memorizing abstract symbols such as keys and chord markers. If audio examples are introduced in teaching, their understanding efficiency of theoretical rules can be improved by 40%. Thirdly, there is also a clear differentiation among students in terms of learning strategies. The results of the teaching intervention experiment show that if psychological auxiliary strategies are introduced to help students combine their existing auditory experience and alleviate their anxiety, the accuracy of applying complex theoretical rules can be improved by 31%.
Conclusion: The learning outcomes of music majors in universities in basic music theory courses are greatly influenced by psychological factors, mainly reflected in differences in motivation levels, anxiety states, and cognitive styles. Therefore, teaching should not only be organized from the perspective of knowledge transmission, but also pay attention to students' psychological acceptance and adaptation abilities. Teachers can adopt the following teaching strategies: firstly, to stimulate students' intrinsic motivation; The second is to help students alleviate anxiety by providing positive feedback and reducing the psychological pressure caused by scores; The third is to conform to the laws of cognitive development and integrate auditory experience when explaining abstract theories. Through the above methods, students can form a mutually reinforcing virtuous cycle between understanding, memory, and application.
#14
Research on the Construction and Practice of Psychological Education Effectiveness Evaluation System of Public Physical Education Curriculum in Colleges and Universities in the New Era
Zuhua Li
Jinhua University of Vocational Technology, Jinhua of Zhejiang province, China
Objective: In the context of the new era, public physical education courses in universities, as an important component of higher education, not only undertake the mission of improving students' physical fitness, but also play an irreplaceable role in psychological health and comprehensive quality cultivation. With the deepening of the “Healthy China” strategy, physical education in universities has been endowed with new connotations and requirements, and its psychological education effectiveness has gradually become a focus of attention in academia and society. The construction of a psychological education effectiveness evaluation system aims to comprehensively measure the improvement effect of public physical education courses in universities on students' mental health level through scientific indicator design and systematic practical application, thereby providing theoretical basis and practical guidance for optimizing teaching plans and improving the curriculum system.
Methods: The design of practical research takes a comprehensive university's public physical education course as a case study, selecting undergraduate students who participated in public physical education courses in the 2022-2023 academic year as research objects, covering different majors, grades, and gender groups to ensure sample diversity and representativeness. The study used a combination of questionnaire survey, experimental comparison, and interview methods to collect data. Among them, the questionnaire design is based on specific indicators of the evaluation system, including students' mental health level, psychological quality improvement, and other aspects, and the reliability and validity of the questionnaire are tested through pre-experiments.
Results: The practical results show that students participating in public physical education courses have shown significant improvements in their mental health level and psychological quality. Specifically, the paired sample t-test results showed that students' scores on indicators such as psychological resilience, emotional regulation ability, and teamwork awareness were significantly higher after the course ended than before the course began (p<0.05).
Conclusion: The construction and practice of the psychological education effectiveness evaluation system for public physical education courses in universities in the new era not only provides important support for the reform of physical education courses in universities, but also makes positive contributions to the fundamental task of cultivating morality and talents.
#15
Research on the cooperative education mechanism of party building and ideological and political education of private college students based on psychological empowerment
Yuqiang Kang
Huanghe Science and Technolog University, School of Medicine Hehan Zhengzhou 450063, China
Objective: The concept of psychological empowerment is gradually being introduced into the field of education, emphasizing the promotion of comprehensive development by stimulating individuals' internal motivation and potential. This concept provides new ideas and directions for the collaborative education mechanism of party building and ideological and political education for students in private universities. In the context of the new era, integrating psychological empowerment into collaborative education mechanisms is not only an innovation and development of traditional education models, but also a requirement of the times to adapt to the needs of social development and the laws of student growth.
Methods: The goal setting of the collaborative education mechanism between party building and ideological and political education for students in private universities based on psychological empowerment aims to cultivate new era youth with firm political beliefs, good ideological and moral qualities, and strong psychological literacy through systematic design and implementation. Specifically, this mechanism focuses on enhancing students' political identity, guiding them to establish correct worldviews, outlooks on life, and values, while strengthening their mental health and self-development abilities.
Results: Psychological empowerment, as an important means to stimulate students' intrinsic motivation for learning, enhance their self-efficacy and psychological resilience, plays a significant role in the collaborative education of party building and ideological and political education. By integrating the concept of psychological empowerment into the design of party building and ideological education content, innovative methods, and the construction of safeguard measures, it can effectively promote the comprehensive development of students.
Conclusion: The collaborative education mechanism of party building and ideological and political education for students in private universities based on psychological empowerment has shown good implementation effects in improving students' political literacy, ideological and moral level, and mental health status. These empirical results provide strong evidence for the subsequent promotion and optimization of this mechanism.
Acknowledgements: Research Outcomes of the Huanghe S&T University 2023 Annual Party Building Innovation Project: “A Study on the Collaborative Education Path Integrating Student Party Building and Ideological and Political Education in Private Universities” (Project No.: HKDJ2023010).
#16
A Narrative Study on Leadership Development Paths for Doctoral Students in Education from the Perspective of Psychological Empowerment
Qian Wang
Holistic Education Center of Hebei Normal University, Hebei, China
Objective: The cultivation of leadership skills among doctoral students in education in my country suffers from several shortcomings, including a simplistic curriculum structure, nascent exploration of practical scenarios, and insufficient attention to the psychological dimensions of the training process. These factors hinder the improvement of leadership development outcomes for doctoral students.
Methods: To address this issue, this study employed narrative teaching with 15 doctoral students majoring in educational leadership and management at a normal university. The students were guided to recount their personal stories, engage in deep psychological reflection and self-examination, and develop personalized leadership development plans that integrated psychological growth. Furthermore, the study constructed a narrative framework for leadership development based on educational narrative methods.
Results: The findings reveal that self-awareness is the starting point for leadership development, providing doctoral students with a clear direction and psychological anchor. The psychological appeal of role models acts as a catalyst for leadership development, motivating doctoral students to cultivate a sense of responsibility and drive continuous progress.
Conclusion: Psychological tempering in practice is a crucible for shaping leadership, helping doctoral students truly develop and enhance their leadership psychological qualities and practical leadership abilities. Therefore, it is recommended to adopt a training method based on self-awareness, a teaching method that integrates the psychological appeal of role models, and a training system that strengthens practical psychological training, thereby empowering doctoral students' leadership development from a psychological perspective.
Acknowledgements: 2024 Hebei Province Graduate Education Reform Project: An Exploration of Instructional and Assessment Models for Graduate Courses Based on Project-Based Learning-A Case Study of the Course “Higher Education” (YJC2024039).
#17
Benevolence of Healers in the Intelligent Era: An Empirical Study on the Cognitive Conflicts and Educational Path Reconstruction of Medical Students' AI Ethics
Jing Li
1,2
1Liaoning Normal University, Dalian, China
2Zunyi Medical University, Zunyi, China
Objective: The penetration rate of AI in the medical field has reached 62% (“China Medical AI Development Report 2023”). Globally, 75% of ethical disputes originate from the human-machine responsibility gap (WHO, 2022). Furthermore, a conflict exists between the Confucian concept of “benevolence” (ren xin) and the efficiency logic of AI, to which medical education urgently needs to respond. This study aims to deeply explore the current status and root causes of Chinese medical students' cognitive conflicts regarding AI ethics and to propose corresponding educational countermeasures.
Methods: This study employed a mixed-methods approach combining quantitative and qualitative research. In the quantitative phase, a stratified random sampling method was used to select 110 medical students each from medical schools in the eastern, central, and western regions of China. A total of 330 questionnaires were distributed, with 308 valid responses collected. The “AI Ethics Cognition Scale” (Cronbach's α = 0.86) was used for the survey, and subjects for qualitative interviews were selected based on the survey results. In the qualitative phase, clinical dilemma scenario interviews were conducted with 17 medical interns (Kappa = 0.81). The results of the qualitative study were used to explain the outliers in the quantitative research.
Results: First, cognitive biases presented four key characteristics. Significant cognitive biases included fallacies in responsibility attribution (73.36%), a weak sense of privacy protection (60.2%), a lack of ability to identify algorithmic bias (59.8%), and familistic intervention in a cultural context (66.5% of medical students deferred to family members' requests to override AI recommendations). Second, there is a structural gap in education. The quantitative study showed that only 31.7% of institutions systematically offer AI ethics courses.
Conclusion: Based on the above findings, this study, proceeding from technology, ethics, and humanities, constructs a “three-dimensional embedded” educational model of curriculum system reconstruction, core competency training, and collaborative mechanism building to cultivate medical students' “benevolent intelligence literacy.” This model provides an operational framework for resolving the dilemmas of medical humanities education in the intelligent era and offers a Chinese solution for the ethical governance of medical AI.
#18
Research on the theoretical logic of collaborative education of ideological and political education and mental health education in colleges and universities
Jiayu Wang
Xihang University, Xi'an, China
Objective: With the diversification and complexity of society's demand for talent, single dimensional education is no longer able to meet the comprehensive development needs of students. In this context, the concept of “collaborative education” has emerged, emphasizing the organic integration of ideological and political education with mental health education, forming a joint force to achieve more efficient educational goals.
Methods: The realization of collaborative education between ideological and political education and mental health education in universities first requires the establishment of the concept of collaborative education, and strengthening teachers' profound understanding of the educational goals and content of both in educational practice, thereby promoting the organic integration of concepts. Ideological and political education aims to cultivate students' correct values and sense of social responsibility, while mental health education focuses on shaping individual psychological qualities and preventing and intervening in psychological problems. Although their emphasis is different, both fundamentally serve the comprehensive development of students and have an inherent unity. Therefore, teachers should recognize the similarities between the two in terms of educational goals and avoid separating them
Results: The theoretical logic research on the synergistic education of ideological and political education and mental health education in universities aims to explore the inherent connection and synergistic effect of the two in the process of educating people. Through fundamental analysis of philosophy, psychology, and education, this article reveals the importance and feasibility of their collaborative education. From a philosophical perspective, the Marxist theory of comprehensive human development provides solid theoretical support for collaborative education, and the principle of dialectical relationship further elucidates the complementarity and unity between the two. The application of psychological theories such as humanistic psychology and cognitive psychology emphasizes the importance of following the laws of student psychological development, providing a scientific basis for collaborative education
Conclusion: The collaborative education of ideological and political education and mental health education in universities should further deepen theoretical research and practical exploration. On the one hand, it is necessary to continuously optimize the path and methods of collaborative education based on the educational needs of the new era; On the other hand, professional training for the teaching staff should be strengthened to enhance their comprehensive abilities in collaborative education.
#19
Course Reform of Educational Statistics and Labor Education Evaluation in the Digital-Intelligence Era: Fostering Holistic Development through Psychosocial and Physical Well-Being Integration
Xingang Yang1, Qingyu Zhang1, Qiquan Wang2
1School of Labor Education, China University of Labor Relations, Beijing, China
2College of Safety Engineering, China University of Labor Relations, Beijing, China
Objective: With the rapid advancement of digital-intelligent technologies and increasing demands for scientific K–12 labor education evaluation, traditional teaching models in Educational Statistics and Labor Education Evaluation face challenges including outdated content, rigid pedagogy, and single-dimensional assessment systems. This study develops a curriculum reform framework based on Outcome-Based Education (OBE), aiming to cultivate K–12 labor education teachers equipped for the digital-intelligence era. Emphasizing labor education’s role in holistic development, particularly psychosocial growth, the reform integrates evidence that effective evaluation enhances students’ self-efficacy and emotional regulation.
Methods: This study was conducted among undergraduate Labor Education majors at a Chinese university. Guided by OBE principles, a three-dimensional reform framework—Content Restructuring, Model Innovation, and Evaluation Optimization—was implemented. The curriculum incorporated statistical methods, digital tools (SPSSAU, Excel, Python), and authentic labor education scenarios. A blended “Online Intelligent Empowerment–Offline Deep Practice” model replaced traditional instruction. The evaluation system was redesigned into a data-driven, multi-dimensional framework combining formative and summative assessment, emphasizing not only technical competence but also mental health support and positive psychological traits such as self-efficacy, along with student engagement and experience-based evaluation design.
Results: The reform produced significant outcomes. Students’ proficiency in digital tools improved markedly, with about 20% acquiring basic Python-based data analysis skills. Their labor education evaluation designs became more comprehensive, effectively integrating participant experience and psychosocial factors. Several projects received university-level innovation funding. Platform data indicated increased online engagement, and students reported high satisfaction with the blended model and evaluation system, recognizing its alignment with labor education’s dual focus on skill development and psychosocial growth.
Conclusion: This study provides a replicable model for digitally transforming labor education curricula in higher education. By strengthening future teachers’ competencies in data-driven and context-sensitive evaluation, the reform supports their ability to promote students’ holistic development, including positive psychological attributes. The findings offer both theoretical and practical contributions to advancing labor education within China’s “Five-Educations” framework and facilitating high-quality digital transformation in basic education.
Acknowledgments: This work was supported by the 2025 University-Level Education and Teaching Reform Project of China University of Labor Relations (JG25066), the Graduate Education Reform Project of China University of Labor Relations (YJG25011), University-Level Teacher Research Project of China University of Labor Relations (No. 24XYJS025), 2025 Talent Project Construction Program of China University of Labor Relations, and the Teacher Academic Innovation Team Support Program of China University of Labor Relations—the “Education and Labor Market” research direction team (2024CX06).
#20
Research on the Psychological Perception of Artificial Intelligence Empowering the Fairness of Private Education and the Collaborative Management of Digital Economy
Tianzhu Zheng
Shenyang Institute of Science and Technology, School of Economics, Shenyang, China
Objective: Against the backdrop of rapid development in the digital economy, the application of artificial intelligence technology is reshaping the temporal and spatial scenarios and inherent forms of education. On the one hand, artificial intelligence provides more innovative possibilities for private education through tools such as intelligent teaching systems and personalized learning platforms; On the other hand, its data-driven nature also provides a scientific basis for optimizing the allocation of educational resources and making educational management decisions. However, current research on artificial intelligence in the field of equity in private education is still in its early stages, especially in the areas of psychological perception and collaborative management, which are relatively scarce.
Methods: In the context of AI empowering equity in private education, students, parents, and teachers, as the core subjects of educational activities, have significant differences in their psychological perception of AI promoting educational equity. This difference not only reflects the different understandings of technology applications among various subjects, but also reveals their role positioning and demand characteristics in educational practice. Through a combination of questionnaire surveys and in-depth interviews, this study collected data from students, parents, and teachers from different private schools, and systematically analyzed their psychological perceptions.
Results: This study systematically explores the current application status of artificial intelligence in the field of equity in private education, the results of psychological perception research, and the effectiveness of digital economy collaborative management strategies, revealing the multidimensional impact of artificial intelligence technology on equity in private education.
Conclusion: Artificial intelligence has significantly improved the teaching efficiency and resource allocation accuracy of private education through application forms such as intelligent teaching systems and personalized learning platforms, thus demonstrating positive effects in terms of starting point fairness, process fairness, and outcome fairness. Through research on the psychological perceptions of students, parents, and teachers, it has been found that there are significant differences in the perception of artificial intelligence in promoting educational equity among different subjects. These differences not only affect their educational behavior, but also have a profound impact on the implementation effect of educational policies.
Acknowledgements: The 2024 Liaoning Province Association of Private Education approved the “14th Five-Year Plan for Education Science”, “Research on the Optimization of Applied Talent Cultivation in Private Universities within the Context of Industry-Education Integration”, LMX2024245. 2: The 2025 School-level Undergraduate Quality Project of Shenyang Science and Technology University, “Research and Practice on the Construction of an Educational Quality Assurance System for Private Universities Enabled by Artificial Intelligence”, zlgc-10-2025-004. 3: The 2025 Youth Project of the China Association of Private Education, “Research on the Driving Mechanism and Implementation Path of Digital Transformation in Private Universities' Education”.
#21
The Implementation Path of Cultural Tourism Empowerment in Higher Vocational Education: Psychological Communication Practices Centered on the Sanxingdui Site
Jing Wang1, Liyan Zhang1, Ying Jia2
1Sichuan Huaxin Modern Vocational College, Chengdu, China
2Sichuan Railway College, Chengdu, China
Objective: As a world-class cultural tourism IP, the cultural dissemination and public recognition of the Sanxingdui site still need to be deepened. The key to promoting the high-quality development of Sanxingdui lies in the involvement of higher vocational cultural tourism programs, where psychological communication can strengthen the public's emotional resonance and value recognition of Sanxingdui culture.
Methods: Through literature review and case analysis, relevant theories and experiences are examined and synthesized. By leveraging the resources of higher vocational programs, a closed-loop pathway of “research-design-practice-feedback” is established to develop psychological communication vehicles such as immersive study tours and digital cultural innovations. Data are collected via questionnaires and in-depth interviews to refine and optimize practical solutions.
Results: A vocational college empowerment system has been established through the collaboration of “government, schools, industries, and enterprises,” resulting in the development of 12 psychological communication products across three categories. Among these, immersive study tour programs have increased cultural recognition by 42%, while digital cultural innovations have reached over 800,000 young people. A vocational practice base has been built, forming an integrated “course-project-employment” training model, which has contributed to a 15% growth in local cultural tourism consumption. This validates the feasibility of the psychological communication-oriented vocational empowerment pathway.
Conclusion: Empowering the Sanxingdui cultural tourism through vocational education requires a focus on psychological communication, shifting cultural dissemination from “information transmission” to “psychological identification.” The developed pathway of “professional empowerment–psychological communication–industrial enhancement” offers a replicable model for vocational education to support local cultural tourism IPs. It also provides new insights for the dynamic preservation and youth-oriented promotion of cultural heritage, contributing to the expression of the pluralistic and integrated value of Chinese civilization.
Acknowledgments: “Research on the International Dissemination of Sanxingdui Culture Empowered by Higher Vocational Culture and Tourism” (Project No.: SXD25ZC07), Funded by: The Key Research Center for the Translation and Dissemination of Sanxingdui Culture in the Deyang Philosophy and Social Sciences Project Series.
#22
Modeling and Optimization Methods for Psychological Adaptation Parameters in the Coupling of Vocational Education Specialties and Industrial Structure in Jiangsu
Mingsheng Wu, Jue Zhang
Office of Science and Technology Industry, Nantong Normal College, Nantong, China
Objective: Macro-level research on the alignment between vocational education and industrial structure in Jiangsu has become relatively mature; however, insufficient attention has been paid to the micro-level adaptation of learners' psychological characteristics to industrial demands. The congruence between students' psychological factors—such as vocational identity and psychological resilience—and industrial culture significantly impacts talent retention rates and career stability.
Methods: Grounded in Social Cognitive Career Theory, this study employed a mixed-methods approach integrating literature review, psychological scales, and questionnaire surveys. Empirical data were collected from 12 vocational institutions and 8 industrial parks across Southern, Central, and Northern Jiangsu, yielding 2,456 valid responses. Structural equation modeling and hierarchical linear modeling were utilized to analyze the mediating and moderating roles of vocational identity, psychological resilience, and work values in specialty-industry coupling, leading to the construction of a psychological adaptation assessment model.
Results: Vocational identity and psychological resilience demonstrated significant mediating effects on the relationship between specialty fit and career stability (effect sizes: 0.31 and 0.26, respectively). The congruence between work values and industrial culture exhibited a notable moderating effect on long-term person-job fit (β=0.42, p<0.01). Survey results indicated a mean psychological adaptation score of 3.21 (out of 5), with the industrial culture cognition dimension scoring lowest at 2.86, revealing critical gaps in psychological cultivation.
Conclusion: This study proposes a four-dimensional optimization pathway encompassing dynamic psychological assessment, career expectation calibration, industrial culture integration, and resilience training, capable of enhancing psychological adaptation by approximately 23%. The findings provide theoretical foundations and practical strategies for advancing industry-education integration mechanisms in Jiangsu's vocational education system from a psychological perspective.
Acknowledgments: Approved Research Project of Jiangsu Technical and Vocational Education Society for the 2025-2026 Academic Year; Project Number: XHYBLX2025194; Project Title: A Study on the Alignment between Professional Structure and Industrial Structure in Vocational Education in Jiangsu Province.
#23
Study on the Impact of Farmers’ Learning Motivation Structure on the Enabling Effect of Vocational Education and Its Psychological Mechanism
Yawen Yang
Hospitality Institute of Sanya, Sanya, Hainan Province, 572000, China
Objective: The empowerment effect of farmers' vocational education is deeply influenced by their learning motivation structure. Based on self-determination theory and social cognitive theory, the purpose of this study is to explore how the structure of farmers' learning motivation (including intrinsic motivation, extrinsic motivation and no motivation) affects the empowerment effect of vocational education and reveal the psychological mechanism behind it.
Methods: The research adopts questionnaire survey to collect data from farmers who have participated in agricultural or rural vocational education projects, and constructs a motivation structure model including internal motivation, external motivation and unmotivated motivation. The data were analyzed by structural equation model (SEM) to test the mediating role of learning engagement and self-efficacy between motivation structure and empowerment effect.
Results: The results show that intrinsic motivation has a significant positive predictive effect on the empowerment effect of vocational education, while no motivation has a significant negative predictive effect. Although the external motivation has a positive influence, the path is weak, which mainly plays a role by improving learning input. In addition, learning engagement and self-efficacy play a partial intermediary role between motivation structure and empowerment effect, in which intrinsic motivation can indirectly enhance empowerment effect by enhancing self-efficacy.
Conclusion: Stimulating farmers' intrinsic learning motivation is the key to improve the effectiveness of vocational education empowerment. Policy formulation and educational practice should focus on creating a supportive environment, strengthening farmers' sense of autonomy and competence, and thus optimizing the psychological path and actual results of vocational education.
Acknowledgments: Teaching Reform Project of the Education Department of Hainan Province in 2025: “Research on the Path of Vocational Education Empowering New Qualitative Productive Forces in Rural Areas” (Hnjg2025-255); Hainan Provincial Philosophy and Social Sciences Planning Project in 2024: “Research on the Model Selection and Path of Vocational Education in Minority Areas Serving Rural Revitalization in Hainan Province”, Project Number: HNSK(QN)24-54; Teaching Reform Project of the Education Department of Hainan Province in 2025: “Research on the Influence and Role of the Enhancement of Farmers' Human Capital on the High-quality Development of Rural Economy under the Concept of Lifelong Learning” (Hnjg2025-254).
#24
Generative artificial intelligence empowers innovation and entrepreneurship education in universities: psychological empowerment mechanism, theoretical framework and risk boundary
Ziqi Liu1, Youjun Xiong2, Chiyu Duan3, Tianjian Xiong4, Shujun Shen5, Shanshi Liu6
1School of Philosophy, Guizhou University, Guiyang, China
2School of Innovation and Entrepreneurship Education, Guangzhou College of Technology and Business, Guangdong, China
3Anyuan Vocational Secondary Specialized School, Jiangxi, China
4Shenzhen Technology University, Shenzhen, China
5Lingnan University, Hongkong, China
6South China University of Technology, GuangZhou, China
Objective: The purpose of this study is to explore how generative artificial intelligence can improve students ' innovation and entrepreneurship ability through psychological empowerment mechanism, and to construct a risk prevention and control system, so as to provide theoretical support and practical guidance for the sustainable development of innovation and entrepreneurship education in colleges and universities.
Methods: This study further quantifies the impact of generative artificial intelligence on innovation and entrepreneurship education in universities through a questionnaire survey. The questionnaire mainly focuses on psychological empowerment dimensions such as enhancing students' self-confidence, stimulating innovative thinking, and cultivating a positive attitude. A total of 500 valid questionnaires were collected from five universities. The statistical results show that over 70% of students believe that the application of generative artificial intelligence technology can help enhance their innovation awareness and entrepreneurial ability. Especially in terms of human-machine collaboration and autonomous decision-making ability, students' self-evaluation scores have significantly improved, which is highly consistent with the digital age education goals mentioned in the literature.
Results: Through the systematic analysis of this study, it can be clarified that generative artificial intelligence has had a profound impact on innovation and entrepreneurship education in universities at multiple levels. In terms of psychological empowerment mechanisms, generative artificial intelligence effectively enhances students' innovation and entrepreneurship abilities by enhancing their confidence, stimulating innovative thinking, and cultivating a positive mindset.
Conclusion: Future research can further explore the differences in applicability of generative artificial intelligence in different disciplinary contexts, in order to develop more targeted educational strategies. Secondly, in response to the ethical issues that may arise from generative artificial intelligence, such as data privacy protection and technological abuse, it is urgent to establish a more comprehensive regulatory mechanism and legal regulatory system.
#25
Measurement and Evaluation Mechanisms of Student Mental Health in Ideological and Political Education
Gang Liu, Yang Wang
Baoji University of Arts and Sciences, Baoji, China
Objective: This study aims to examine the mechanisms for measuring and evaluating student mental health within the context of ideological and political education. It focuses on how educational content, pedagogical approaches, and value-oriented guidance influence students’ psychological states, with the goal of improving both educational effectiveness and mental well-being outcomes.
Methods: This research employs a combination of quantitative assessment tools and qualitative analysis. Standardized psychological scales were used to evaluate students’ mental health status, including indicators such as emotional stability, stress levels, and self-efficacy. In parallel, surveys were conducted to assess students’ perceptions of ideological and political courses, while interviews with educators provided insights into instructional strategies and classroom dynamics. Data analysis was performed to identify correlations between educational practices and psychological outcomes.
Results: The results indicate that well-structured ideological and political education can positively contribute to students’ psychological well-being when it incorporates interactive teaching methods and aligns with students’ real-life experiences. Students exposed to supportive and engaging instructional environments reported lower levels of anxiety and higher levels of self-identity and social responsibility. Conversely, overly rigid or didactic approaches were associated with reduced engagement and weaker psychological outcomes.
Conclusion: The establishment of a comprehensive measurement and evaluation mechanism is essential for effectively integrating mental health considerations into ideological and political education. By adopting multidimensional assessment frameworks and student-centered teaching strategies, educational institutions can enhance both ideological understanding and psychological resilience. Future studies should explore adaptive evaluation models and the integration of digital tools for continuous mental health monitoring in educational settings.
Mental Health, Psychological and Emotional Regulation
#26
Comparative effects of exercise modalities on depression, anxiety, and stress in university students: a network meta-analysis
Guofu Li
Department of Military Training, Officers College of PAP, Chengdu, China
Objective: Depression, anxiety, and perceived stress are highly prevalent in university students and often co-occur, impairing academic functioning and increasing the risk of persistence into adulthood. Exercise is a scalable, low-stigma option for campus mental health promotion, but the relative benefits of different exercise modalities and the practical prescription features most consistently associated with improvement remain unclear. This study aimed to compare exercise interventions for depression, anxiety, and stress in university students and to identify outcome-specific priorities and pragmatic prescription signals.
Methods: PubMed, Embase, Cochrane Central Register of Controlled Trials, Web of Science, and Google Scholar were searched from inception to 31 October 2025 without language restrictions. Randomized controlled trials enrolling university students aged 18 years or older were eligible if they tested structured exercise programmes lasting at least four weeks against control conditions (usual lifestyle, no exercise, wait list, or attention control) or alternative exercise, and reported validated measures of depressive symptoms, anxiety symptoms, or perceived stress at post-intervention. Pairwise random-effects meta-analyses estimated overall exercise effects using standardized mean differences (SMDs) with 95% confidence intervals (95% CIs). Random-effects network meta-analyses compared exercise modalities and generated treatment rankings using surface under the cumulative ranking curve (SUCRA). Prespecified subgroup analyses examined baseline symptom status and key prescription features (intensity, session duration, weekly frequency, and programme length). Risk of bias was assessed with RoB 2, and publication bias was explored using funnel plots and Egger tests when applicable.
Results: Twenty-six randomized controlled trials involving 2,308 university students were included. Overall, exercise improved all three outcomes versus control: depression (22 trials; n = 1,935; SMD −1.00, 95% CI −1.33 to −0.68), anxiety (14 trials; n = 1,344; SMD −0.69, 95% CI −1.00 to −0.38), and stress (9 trials; n = 1,074; SMD −0.45, 95% CI −0.73 to −0.16). Sensitivity analyses supported the stability of pooled effects across outcomes. Network meta-analysis showed outcome-specific comparative patterns. For depression, mind body exercise (SUCRA 72.6%) and aerobic exercise (67.7%) ranked highest, and both demonstrated clear benefits versus control (mind body exercise: SMD −1.33, 95% CI −2.26 to −0.40; aerobic exercise: SMD −1.20, 95% CI −2.28 to −0.13). For anxiety, resistance training (SUCRA 81.9%) and team sports (81.1%) ranked highest, with team sports (SMD -1.25, 95% CI -2.14 to =0.13) and mind body exercise (SMD −0.67, 95% CI −1.11 to −0.23) outperforming control. For stress, aerobic exercise ranked highest (SUCRA 85.1%) and was the only modality showing a clear advantage over control (SMD -1.06, 95% CI -2.09 to -0.03). Subgroup analyses suggested a consistent session-duration signal: 30-59 minutes was most reliable for depression and anxiety, while stress benefits were supported for sessions of 30 minutes or longer. Moderate-to-vigorous intensity was more informative than light intensity for anxiety and stress, and stress outcomes favored three or more sessions per week.
Conclusion: Exercise improves depression, anxiety, and stress in university students, with optimal modality varying by outcome. The evidence supports symptom-targeted modality selection and time-efficient prescriptions, prioritizing sessions of approximately 30-59 minutes and, where feasible, moderate-to-vigorous intensity delivered at least three times per week for stress-related benefits.
#27
Development of an Efficiency Evaluation Model for Second Language Oral Acquisition Incorporating Learners’ Psychological Anxiety
Lili Chen1, Yanling Chen2
1School of foreign Studies, Hefei University of Technology, Hefei, China
2Department of Psychology, Anhui University of Chinese Medicine, Hefei, China
Objective: Psychological anxiety constitutes one of the critical determinants influencing the efficacy of second language oral acquisition within instructional contexts. To enhance the overall effectiveness of second language acquisition among learners, this study develops a dedicated effectiveness evaluation algorithm for second language oral acquisition in English instruction, which integrates learners’ psychological anxiety as a core explanatory variable.
Methods: First, an initial evaluation index system for second language acquisition effectiveness is established from the dimensions of subjective and objective influencing factors. To address redundancy and multicollinearity within the initial index set, the circular ill-condition index analysis is employed to screen and refine key indicators, including classroom anxiety, communication apprehension, and evaluation anxiety, thereby determining the final evaluation index system. Subsequently, a comprehensive evaluation model based on improved fuzzy set theory is constructed, with indicator weights objectively determined via the entropy weight method. The fuzzy comprehensive evaluation results are derived using the max-min composite operator. In accordance with the maximum membership principle, the evaluation grade of second language oral acquisition effectiveness is identified, enabling systematic and quantitative effectiveness evaluation.
Results: The proposed framework, based on the maximum membership principle, effectively identifies the evaluation grade of second language oral acquisition effectiveness and realizes holistic and dynamic evaluation. This approach enables the long-term dynamic tracking of how variations in learners’ anxiety levels affect oral proficiency development, highlighting the pivotal regulatory function of psychological adaptation in second language acquisition.
Conclusion: Experimental results validate that the designed evaluation algorithm incorporating learners’ psychological anxiety enables accurate assessment and facilitates the effective improvement of second language acquisition efficiency. Future research may extend the application scope to diverse scenarios such as online language learning platforms and investigate the multi-dimensional interactive effects of additional psychological factors (e.g., learning motivation, self-efficacy) on language acquisition, thereby promoting a more scientific and learner-centered development of second language education.
Acknowledgements: This work supported by ‘Quality-engineering Project Fund of Anhui Province in China’ (Grant No.: 2021JYXM1203), ‘Anhui Provincial Teaching Team of Linguistics’ (Grant No.: 2021jxtd223) and ‘The Fundamental Research Funds for the Central Universities’, (Grant No.: JS2022ZSPY0041).
#28
Professional Identity and Learning Engagement Among Japanese-Major Students: The Mediating Role of Mental Health
Yang Zhang, Yuanhong Wang
School of Humanities Education and Application, Sichuan Technology and Business University, Chengdu, China
Objective: Grounded in educational and psychological theories of professional identity and student engagement, this study investigates the relationship between professional identity and learning engagement among undergraduate students majoring in Japanese. Given the increasing academic pressure and career uncertainty faced by foreign language majors, the study further examines the role of mental health—specifically academic stress, anxiety, and psychological well-being—as a potential psychological mechanism underlying this relationship. The objective is to clarify how professional identity contributes to sustained learning engagement while accounting for students’ mental health status.
Methods: A quantitative, cross-sectional research design was adopted. Participants were Japanese-major undergraduates from several comprehensive universities. Data were collected using well-established self-report instruments measuring professional identity, learning engagement (behavioral, emotional, and cognitive dimensions), and mental health indicators, including academic stress, anxiety symptoms, and psychological well-being. Reliability and validity of the scales were confirmed prior to analysis. Descriptive statistics, Pearson correlation analysis, and structural equation modeling were conducted to test the hypothesized relationships and mediating effects, while controlling for relevant demographic variables.
Results: The findings revealed a robust positive association between professional identity and learning engagement. Students who reported a stronger identification with their major exhibited significantly higher levels of behavioral participation, emotional involvement, and cognitive investment in learning activities. Furthermore, mental health variables played a significant partial mediating role in this relationship. Higher professional identity was associated with lower levels of academic stress and anxiety, as well as higher psychological well-being, which in turn positively predicted learning engagement. Conversely, elevated psychological distress attenuated the positive impact of professional identity on learning engagement, suggesting that mental health functions as an important regulatory factor in students’ academic motivation and persistence.
Conclusion: This study demonstrates that professional identity is a key psychological determinant of learning engagement among Japanese-major students and that its effects are partially transmitted through students’ mental health. The results underscore the necessity of integrating professional identity development with mental health education and psychological support in foreign language programs. Interventions aimed at strengthening career-related meaning and addressing psychological distress may effectively enhance learning engagement and promote sustainable academic development among language-major students.
#29
A Study on the Landscape Renovation of Aging Neighborhoods Based on Mental Health Needs
Xuesong Liu1, Ting Liu1, Yuchen Song2, Xiaolan Xue1, Zhiwei Tang1
1Hunan Biological and Electromechanical polytechnic, Changsha, China
2Xiangtan Fulier Landscape Co., LTD, Xiangtan, China
Objective: Global population aging is accelerating, with individuals aged 60+ accounting for 18.7% of China’s population. Notably, 80% reside in residential communities over 20 years old, where inadequate landscaping and limited age-friendly facilities fail to meet seniors’ psychological needs, including emotional connection, cognitive stimulation, and well-being. This contributes to a loneliness rate as high as 41.7%. While current renovations emphasize physical safety (e.g., handrails, road repair), insufficient attention has been given to the mental health impact of landscape design. This study proposes a “mental health-first” framework for age-friendly landscape renewal, focusing on safety, cognition, comfort, and social interaction.
Methods: Grounded in theories of positive aging, environmental behavior, stress recovery, and social support, this study constructs a theoretical framework for age-friendly landscape transformation. A case study was conducted in the Science and Education New Village of Hunan Agricultural University (Changsha, China). Field surveys targeted residents aged 60+, grouped into 60–64, 65–74, and 75+, to examine activity patterns, spatial preferences, and psychological needs. Based on these findings, a micro-renewal model—the “Residents’ Shared Rice Garden”—was developed. Using low-cost ecological strategies such as modular construction and rammed earth techniques, underutilized community spaces were transformed. The design emphasizes safety, accessibility, ecological sustainability, and ease of maintenance to promote outdoor activity and social engagement.
Results: The “Shared Rice Garden” effectively responded to the behavioral and psychological needs of different elderly groups. Modular prefabrication reduced construction time by 60% and costs by approximately 30%, minimizing disruption. The redesigned space provides a safe and comfortable environment that encourages social interaction and reduces loneliness and anxiety. Barrier-free facilities enhance psychological security, while diverse planting and seating areas support relaxation and aesthetic satisfaction, contributing to stress reduction. Socially oriented spaces strengthen neighborhood ties and promote intergenerational interaction, transforming idle areas into active community hubs.
Conclusion: Age-friendly landscape renewal that prioritizes mental health can significantly enhance elderly well-being by improving environmental quality, encouraging outdoor activity, and fostering social connections. The “Shared Rice Garden” demonstrates a practical, low-cost model integrating psychological considerations into design. Future research should expand sample scope, incorporate longitudinal evaluation, and apply quantitative methods to assess environmental–psychological mechanisms. The integration of smart technologies (e.g., AI safety systems, AR landscapes) also holds potential for further enhancing elderly mental health support.
Acknowledgments: The research was supported by Acknowledgements: Hunan Biological and Electromechanical Polytechnic (24XH03), Research on Ecological Adaptability and Optimized Planting Techniques of Landscape Plants.
#30
Research on the Psychological Regulation Effect of Virtual Reality Digital Media Intervention on Anxiety Disorders
Yanping Lu1, Hongyan Liu1,2, Fang Zheng1,3
1Department of Industrial Design, Pukyong National University, Busan, Republic of Korea
2Department of Physical Education, Hebei Academy of Fine Arts, Shijiazhuang, China
3Department of Art Design, Tianjin University of Commerce Boustead College, Tianjin, China
Objective: To investigate the psychological regulation effect of virtual reality (VR)-based digital media intervention on patients with anxiety disorders and to evaluate its effectiveness in reducing anxiety symptoms, improving emotional state, and enhancing psychological adaptability.
Methods: A total of 60 participants diagnosed with anxiety disorders were recruited and randomly assigned to an experimental group (n=30) and a control group (n=30). The experimental group received an 8-week VR-based digital media intervention, including immersive scene exposure, breathing regulation training, emotional soothing tasks, and mindfulness relaxation sessions, three times per week for 30 minutes each session. The control group received routine psychological support and conventional relaxation training over the same period. Psychological outcomes were assessed before and after the intervention using the Self-Rating Anxiety Scale (SAS) and the Depression Anxiety Stress Scale-21 (DASS-21). Physiological indicators, including heart rate (HR) and skin conductance level (SCL), were also measured to evaluate autonomic nervous system responses.
Results: After 8 weeks of intervention, the experimental group showed significant improvements compared with the control group. The mean SAS score in the experimental group decreased from 64.3 ± 6.8 at baseline to 48.7 ± 5.9 after intervention (p<0.001), whereas the control group showed a smaller reduction from 63.9 ± 7.1 to 58.2 ± 6.5 (p<0.05). The anxiety subscale score of DASS-21 in the experimental group decreased by 32.5%, compared with 12.4% in the control group. In addition, the average heart rate of participants in the experimental group decreased from 84.6 ± 5.2 bpm to 76.1 ± 4.8 bpm, and skin conductance level decreased by 18.7%, indicating enhanced physiological relaxation. Intervention adherence in the experimental group reached 93.3%, which was higher than that in the control group (81.7%). These findings suggest that VR-based intervention had a stronger effect on reducing anxiety symptoms, relieving emotional stress, and improving self-regulation capacity.
Conclusion: VR-based digital media intervention demonstrated significant positive effects on the psychological regulation of anxiety disorders. It effectively reduced anxiety symptoms, improved emotional stability, and enhanced physiological relaxation and treatment adherence. Due to its immersive, interactive, and personalized features, VR intervention has promising application potential in mental health treatment and digital rehabilitation. Future studies should include larger samples and integrate artificial intelligence and adaptive feedback mechanisms to further improve intervention accuracy and clinical effectiveness.
#31
Research on the influence mechanism of artificial intelligence emotional interaction system on users’ mental health
Tingting Yao
School of Psychology, Central China Normal University, Wuhan, China
Objective: The aim of this study is to systematically analyze the impact mechanism of artificial intelligence emotional interaction systems on users' mental health, reveal their potential in providing convenient psychological support and assisting professional psychotherapy, and pay attention to possible emotional dependence and privacy ethics issues. By reviewing relevant literature and conducting empirical research, this study aims to provide a scientific basis for optimizing system design and enhancing user experience, while also laying a theoretical foundation for future research.
Methods: When exploring the impact mechanism of artificial intelligence emotional interaction systems on user mental health, questionnaire surveys and experimental methods were chosen as the main data collection methods because they can provide quantitative and qualitative data support from different levels. Questionnaire survey, as an efficient data collection tool, is suitable for assessing the mental health status of large-scale samples and analyzing user behavior patterns. By designing structured questions, it is possible to systematically obtain relevant information on users' subjective experiences, emotional dependence, and changes in mental health during the use of artificial intelligence emotional interaction systems.
Results: Through empirical research, this article quantitatively analyzes the impact mechanism of artificial intelligence emotional interaction systems on users' mental health. The study used questionnaire surveys and experimental methods to collect data, involving a sample of 500 subjects, covering populations of different ages, genders, and social backgrounds. The research results indicate that artificial intelligence emotional interaction systems have significant effects in providing convenient psychological support, with over 70% of participants reporting that the system has played a positive role in alleviating short-term stress and anxiety.
Conclusion: Future research can further focus on the differences in adaptability of different populations to the system, especially for special groups such as adolescents, the elderly, and patients with psychological disorders to conduct in-depth analysis. These groups may have vastly different reactions to the system due to differences in psychological states, social needs, and technological acceptance.
Acknowledgements: This paper is supported by the Scientific Research Fund Project of the Hunan Provincial Department of Education, titled “Empirical Application Research on Dynamic Measurement of Adolescent Mental Health in the Post-Pandemic Era Enabled by Digital Intelligence” (Grant No. 24C0667), and the Key Scientific Research Fund Project of Hunan Police Academy, titled “Screening Research of High-Risk Groups for College Students' Mental Health by Introducing Machine Learning” (Grant No. 2021ZD07).
#32
From Traumatic Stress to Self-Integration: A Study of the Dynamic Spectrum from Illness to Health in the Oedipal Narrative
Gaofeng Fan
Xi'an International Studies University, Xi'an, China
Objective: Grounded in an interdisciplinary perspective, this study aims to challenge the long-standing paradigms of “fatalism” or “character tragedy” that have dominated previous research on the tragic fate of Oedipus. By introducing the core theory of health psychology—the “Illness-Wellness Continuum”—this study attempts to construct a dynamic psychological interpretive framework to reinterpret Oedipus’s evolutionary journey from psychological crisis to the reconstruction of his subjectivity. This paper seeks to demonstrate that the Oedipus narrative is not merely a tragedy of destruction, but rather a model of how an individual seeks psychological integration and a shift toward wellness amidst extreme existential adversity.
Methods: This study employs qualitative text analysis to examine key plot elements from ancient Greek mythology and Sophocles’ Oedipus myth. By situating the character within an ecosystem of intense conflict between “divine law” and “human law”, the study systematically maps the pathological stages experienced by the Oedipal subject through a combination of empirical observation and theoretical deduction. The analysis focuses on observing how the individual gradually achieves psychological recovery through self-narrative mechanisms, progressing from early-stage physical disability, through mid-stage psychological stress disorder, to late-stage ethical cognitive dissonance.
Results: Research has found that Oedipus’s life trajectory precisely illustrates the non-binary nature of the “illness-health continuum.” In our qualitative analysis, we observed that Oedipus did not passively accept the judgment of illness and suffering, but instead demonstrated a strong capacity for active adaptation: First, he engaged in profound self-reflection in the face of a cruel truth, transforming blind self-confidence into a clear awareness of his own limitations; second, through acceptance and mourning of the collapse of his social relationships, he repaired his internal psychological structure; and finally, in the process of reconstructing his sense of self-efficacy, he achieved a shift from passive defense to active transcendence. This process demonstrates that health is not the end of illness, but rather a continuum of dynamic equilibrium constantly sought amidst extreme conflict.
Conclusion: This study argues that Oedipus’s fate was not to be trapped in an absolute cycle of illness and death, but rather, after enduring the triple burden of physical, psychological, and ethical pathologies, to achieve a transformation from a “suffering victim” to a “transcendent sage” through the awakening of self-awareness and reconciliation. This portrayal of “health within illness” offers a new psychological dimension for understanding ancient Greek tragedy. Furthermore, by integrating theories from health psychology into the analysis of literary classics, this paper not only expands the disciplinary boundaries of literary criticism but also provides trans-temporal literary evidence for modern psychological research on post-traumatic growth, offering significant academic insights.
#33
Commodification of Emotional Labor and Psychological Support: A Study on the Self-Branding Practices of Patient Companions and Patients’ Psychological Needs in Digital Social Networks
Lingfei Wan
School of Journalism and Communication, Shandong Normal University, Jinan, China
Objective: This study aims to explore how patient companions in digital social networks transform emotional labor into commodified self-branding practices, while simultaneously responding to the psychological needs of patients. With the intensification of population aging and the increasing number of solitary young adults in China, the demand for patient companionship services has been rising. On platforms such as Douyin and Xiaohongshu, patient companions convert emotional support into tradable personal brand capital through content production. The research focuses on the emotional labor processes of patient companions within the platform economy and investigates their mechanisms of psychological intervention—particularly in alleviating patients’ anxiety and loneliness. It further reveals the psychological motivations and alienation risks underlying their self-branding practices.
Methods: Employing the grounded theory approach in qualitative research, this study analyzed 72 text and video materials related to patient companions collected from Xiaohongshu, Weibo, Douyin, and Bilibili, totaling approximately 13,000 words of textual data. Through open, axial, and selective coding, the study systematically examined the self-branding practices, emotional labor strategies, and response mechanisms to patients’ psychological needs within digital social networks. On this basis, a Multi-Dimensional Model of Patient Companions’ Self-Branding Integration was constructed.
Results: Findings indicate that patient companions employ two core strategies—psychological support in medical visits and practical assistance in medical visits—to address patients’ anxiety, loneliness, and other emotional needs during the consultation process. These strategies involve proactive emotional intervention, stress compensation, empathetic listening, and companionship, as well as role-playing and procedural assistance to ease psychological burdens. However, the high commodification of emotional labor leads to emotional exhaustion and risks of self-alienation among companions. Although digital survival strategies help them establish professional and trustworthy personal brands, they also heighten the pressure of emotional performance imposed by platform algorithms and user expectations.
Conclusion: The self-branding practices of patient companions in digital social networks essentially represent a process of commodifying psychological support through emotional labor. This process satisfies patients’ needs for companionship and emotional reassurance while simultaneously exposing companions to emotional depletion and self-alienation. The study provides a theoretical framework for understanding the platform-based survival of patient companions and offers practical recommendations for industry regulation and the establishment of psychological boundaries to safeguard practitioners’ rights and well-being.
#34
Exercise modalities for clinically depressed children and adolescents: a network meta-analysis of effects on depression, anxiety, and quality of life
Lei Tang
Department of Military Training, Officers College of PAP, Chengdu, China
Objective: Depression in children and adolescents is highly prevalent and frequently accompanied by anxiety and impaired health related quality of life. Exercise has been proposed as a safe and scalable adjunct to usual care, yet the comparative effectiveness of distinct modalities and the prescription characteristics that optimize mental health outcomes in clinically depressed youth remain uncertain. This study aimed to synthesize evidence from randomized controlled trials to compare the effects of different exercise modalities on depressive symptoms, anxiety, and quality of life in children and adolescents with depression.
Methods: A systematic search of PubMed, Embase, Cochrane CENTRAL, Web of Science, and Google Scholar was conducted from inception to 31 August 2025. Eligible trials randomly assigned participants aged 6 to 18 years with clinically diagnosed depression or elevated depressive symptoms to structured exercise programmes lasting at least four weeks versus control conditions or alternative exercise. Outcomes were depressive symptoms, anxiety, and health related quality of life assessed with validated scales at post intervention. Pairwise meta-analyses with random effects models estimated overall exercise effects. Bayesian network meta-analyses compared aerobic training, combined training, mind body exercise, and aquatic exercise and generated rankings using surface under the cumulative ranking curve values.
Results: Nineteen randomized controlled trials involving 1136 participants were included. Compared with control conditions, exercise produced a moderate reduction in depressive symptoms (standardized mean difference SMD −0.66, 95 percent confidence interval CI −0.86 to −0.45), with greater benefits for moderate to high intensity, medium to long session duration, and short to medium programme length. Network meta-analysis indicated that aquatic exercise and aerobic training were most effective for depression, with surface under the cumulative ranking curve values of 95.8 and 75.8 percent. For anxiety, thirteen trials with 769 participants showed an overall benefit of exercise (SMD −0.55, 95 percent CI −1.10 to −0.01), driven primarily by aerobic training, which ranked highest among modalities. Eight trials including 532 participants demonstrated that exercise improved quality of life (SMD 0.71, 95 percent CI 0.34 to 1.08), with aerobic training again providing the greatest gains, particularly at moderate intensity and higher weekly frequency. Improvements in quality of life were more pronounced among participants with normal weight.
Conclusion: Structured exercise is an effective intervention for children and adolescents with depression, conferring clinically meaningful benefits for depressive symptoms, anxiety, and health related quality of life. Aquatic and aerobic training appear to offer the largest and most consistent effects, while mind body exercise provides moderate benefit and combined training yields limited additional advantage. Careful tailoring of intensity, session duration, and weekly frequency is essential to maximize therapeutic outcomes and support adherence. Exercise should be prioritized as a core component of comprehensive treatment strategies for depressed youth in clinical and community settings.
#35
Intelligent Optimization of Structural Joints in Hybrid Renewable Buildings Using Deep Learning and Parametric Design: Implications for Occupant Psychological Well-being and Stress Reduction
Yonghui Xia
College of Civil Engineering, Nanjing Forestry University, Nanjing, China
Objective: Integrating renewable energy systems, such as building-integrated photovoltaics (BIPV), into modern buildings poses complex challenges for structural joint design. Joints must withstand dynamic loads while meeting strict safety and serviceability standards. Traditional optimization methods—iterative finite element analysis (FEA) combined with genetic algorithms—are computationally intensive, prolonging design cycles and contributing to occupational stress among engineers facing tight deadlines. This study develops an intelligent optimization framework that combines deep learning with parametric design to accelerate joint optimization, reduce design-related stress, and enhance occupant well-being through improved structural reliability.
Methods: A meta-analysis of 30 published studies on joint optimization established baseline performance metrics, with funnel plots and Egger’s test assessing publication bias. The proposed framework was implemented in Grasshopper and Karamba3D. It integrates a deep learning pipeline: Convolutional Neural Networks (CNNs) predict stress fields from initial geometries; Graph Neural Networks (GNNs) optimize joint topology; and Long Short-Term Memory (LSTM) networks forecast dynamic environmental loads. Training and validation used FEA data from 200 hybrid timber-steel and BIPV joint configurations. Sensitivity analysis identified parameters most influential on structural performance and design efficiency.
Results: The deep learning-parametric approach outperformed conventional FEA-genetic algorithms. Joint weight decreased by 20.5%, while convergence to optimal solutions was 73% faster, requiring only 120 iterations versus 450. Load capacity predictions achieved R2 = 0.9847 and RMSE = 5.23 kN, surpassing traditional surrogate models (R2 = 0.8912, RMSE = 11.84 kN). Sensitivity analysis highlighted joint thickness, bolt diameter, and material grade as key factors. Faster convergence and higher predictive certainty directly reduce design-related stress and uncertainty, enabling earlier, more confident project decisions and potentially earlier building occupancy.
Conclusion: This framework effectively accelerates sustainable building system design while maintaining structural integrity and code compliance. Technically, it demonstrates the successful fusion of parametric modeling with specialized deep learning architectures for comprehensive joint optimization. Beyond technical gains, the approach mitigates occupational stress by minimizing repetitive iterations and reducing risks of delays or retrofits. Consequently, it fosters a healthier work environment for design professionals and enhances occupant psychological well-being through greater structural reliability and reduced project uncertainty.
#36
Analysis of the Heterogeneous Effects of Different Exercise Patterns on Anxiety and Depression in Middle-aged and Older Women Based on CHARLS Data
Yue Tan1, Bing Yu2, Xiangzhu Yan1, Chuxin Sima3, Baoying Zhang1
1School of Health and Well-being, Changchun Humanities and Sciences College, Changchun, China
2School of nursing and well-being, Changchun Humanities and Sciences College, Changchun, China
3Department of Sports Medicine, Dongshin University, Naju, South Korea
Objective: In the context of population aging, given the relatively high incidence of anxiety and depression among middle-aged and elderly women and the differences in the effectiveness of exercise interventions across groups, this study systematically analyzes the effects of different exercise patterns on anxiety and depression in middle-aged and elderly women and their heterogeneous characteristics based on microdata from the China Health and Retirement Longitudinal Study (CHARLS). The aim is to address the issue of insufficient targeting in exercise interventions and provide theoretical and practical support for formulating precise and personalized exercise intervention strategies for the mental health of middle-aged and elderly women.
Methods: The literature review method was used to summarize relevant theories and research findings on exercise and mental health in middle-aged and elderly populations as well as heterogeneity effect analysis, clarifying the core logic and methods of heterogeneity analysis. CHARLS baseline and follow-up survey data were used as the research sample, selecting valid observations of women aged 45 and older. Exercise patterns were categorized into aerobic exercise, resistance exercise, flexibility exercise, and mixed exercise. Anxiety and depression scale scores were used as the dependent variable, and heterogeneity effect analysis was conducted using grouped regression and interaction methods while controlling for confounding variables such as age, education, health status, and economic level. Data were processed using descriptive statistics and regression analysis methods to test the differences in effects of different exercise patterns and their heterogeneous performance in various groups.
Results: The intervention effects of different exercise patterns on anxiety and depression among middle-aged and elderly women showed significant differences. Mixed exercise and moderate-intensity aerobic exercise had the best intervention effects and could significantly reduce anxiety and depression scores (P<0.05), while resistance exercise and flexibility exercise had relatively weaker intervention effects. Heterogeneity analysis showed that the effects varied significantly by age, health status, urban-rural context, and exercise frequency. Causal random forest analysis further confirmed the robustness of these group differences. Additionally, the emotional improvement effect of exercise intervention showed a time-lagged response, with more significant effects observed after more than six months of continuous exercise.
Conclusion: The impact of different exercise patterns on anxiety and depression in middle-aged and elderly women is significantly heterogeneous. Mixed exercise and moderate-intensity aerobic exercise are more suitable for middle-aged and elderly women, and the effectiveness of exercise interventions is moderated by individual characteristics and exercise behaviors. Developing stratified and categorized exercise intervention programs based on heterogeneity characteristics can improve the precision and effectiveness of interventions, helping middle-aged and elderly women alleviate anxiety and depression and enhance mental health, providing data support and practical reference for actively addressing population aging and improving mental health service systems for the elderly.
#37
Cultural Aesthetics and Depressive Psychology: Mono no Aware in Japanese Literary Discourse
Yang Zhang, Shutong Zhang
School of Humanities Education and Application, Sichuan Technology and Business University, Chengdu, China
Objective: This study investigates the aesthetic principle of mono no aware in Japanese literature and its influence on the cultural construction of depressive psychological experiences. The primary objective is to explore how literary representations of impermanence, loss, and emotional sensitivity contribute to culturally specific understandings of sadness, melancholy, and depressive affect. By situating mono no aware within frameworks of cultural psychology and mental health research, the study seeks to clarify the boundary between culturally normalized melancholy and clinically defined depression, and to examine how aesthetic values shape emotional appraisal, emotional regulation, and attitudes toward psychological suffering.
Methods: An interdisciplinary qualitative methodology was adopted, integrating literary criticism, cultural psychology, and mental health theory. Representative texts from classical to modern Japanese literature were selected for close textual and thematic analysis, focusing on narrative voice, emotional tone, symbolic imagery, and representations of loss and impermanence. These literary patterns were then examined through theoretical models of culturally mediated emotion, depressive cognition, and affect regulation. Secondary psychological and psychiatric literature on depression, emotional socialization, and cross-cultural mental health was incorporated to contextualize literary findings within contemporary mental health discourse.
Results: The findings indicate that mono no aware operates as a culturally embedded emotional schema that frames sadness and melancholy as aesthetically meaningful, morally acceptable, and existentially valuable responses to transience. Japanese literary texts frequently portray depressive affect not as pathology but as emotional refinement and heightened sensitivity, thereby normalizing low mood, introspection, and emotional withdrawal. This aesthetic framing contributes to a cultural environment in which depressive emotions may be internalized and endured rather than externalized or clinically articulated. While such cultural meaning-making can foster reflective coping, emotional depth, and acceptance of vulnerability, it may also reduce symptom recognition and delay help-seeking behavior for individuals experiencing clinical depression.
Conclusion: This study demonstrates that mono no aware plays a significant role in shaping culturally specific interpretations of depressive psychology within Japanese society. Understanding this aesthetic-emotional framework is crucial for culturally sensitive mental health assessment and intervention, as it reveals how literary and cultural narratives influence emotional norms, stigma, and the perception of psychological distress. The results highlight the necessity of integrating literary aesthetics into cross-cultural mental health research to avoid over-pathologization on the one hand and underdiagnosis on the other. This interdisciplinary perspective contributes to a more nuanced understanding of depression as both a psychological condition and a culturally constructed experience.
#38
A Study on the Relationship between Mental Health Level Subjective Well-being and Professional Efficacy of University Teachers
Yaqing Zeng1, Guoqing Liu2, Bo Liu2
1Trade Union Committee, Southwest Petroleum University, Chengdu, China
2School of Economics and Management, Southwest Petroleum University, Chengdu, China
Objective: In the higher education environment, college teachers are confronted with multiple pressures such as teaching and research, as well as promotion of professional titles. Their mental health status directly affects the quality of education and talent cultivation. Subjective well-being and professional efficacy, as core psychological factors, their influence paths and mechanisms on teachers' mental health still need to be deeply explored. Based on the theory of positive psychology, this study explores the impact of the two on teachers' mental health, providing empirical evidence for the construction of a psychological support system.
Methods: This study selected 170 teachers from a university in Chengdu, Sichuan Province as the research subjects and collected data through a questionnaire survey. Based on the same teacher psychological status questionnaire, the questionnaire content was classified and divided to construct three core assessment dimensions: mental health level, subjective well-being, and professional efficacy. SPSS was used for reliability and validity analysis, and Pearson correlation analysis and multiple linear regression models were used to test the variable relationships.
Results: The research results show that both subjective well-being and professional efficacy have significant positive predictive effects on the mental health level of college teachers. The test results with professional efficacy as the mediating variable indicate that the direct effect of subjective well-being on mental health is significant (β= 0.31, p < 0.001); after controlling for subjective well-being, the predictive effect of professional efficacy on mental health remains significant (β= 0.36, p < 0.001). The overall explanatory power of the model R2= 0.37, indicating that the two variables jointly affect mental health through direct and indirect paths. Moreover, the higher the levels of subjective well-being and professional efficacy, the better the mental health status of college teachers.
Conclusion: This study confirms that subjective well-being and professional efficacy have a significant positive predictive effect on the mental health of college teachers. Colleges and universities should enhance professional efficacy by optimizing professional title evaluation and appointment and building professional platforms, enrich cultural and sports activities and create a harmonious atmosphere to increase subjective well-being, provide guarantees for teachers' mental health, thereby promoting the sustainable development of teachers' careers and laying a solid foundation of teaching staff support for the high-quality development of higher education.
#39
Teachers’ Organizational Identity, Psychological Safety, and Collaborative Governance: A Study on the Psychological Path to Modernizing Internal Governance in Higher Vocational Colleges
Xiaoling Jing
1,2
1Yantai Vocational College of Culture and Tourism, Yantai, China 2Qufu Normal University, Qufu, China
Objective: With the rapid advancement of digital technologies, augmented reality (AR) has emerged as an effective tool for the transmission of intangible cultural heritage (ICH). From a psychological–cognitive perspective, this study aims to investigate how AR-based design can enhance users’ cognitive understanding, psychological engagement, and cultural identity in the learning process of traditional Chinese paper-cutting, thereby improving the effectiveness of ICH transmission.
Methods: Grounded in constructivist learning theory, situated learning theory, and cognitive psychology, this study develops an AR-assisted design framework for paper-cutting education. The framework integrates interactive visualization, real-time guidance, and immersive experience to facilitate active learning. An experimental design was employed, in which participants were divided into a control group (traditional learning) and an experimental group (AR-assisted learning). Data were collected through questionnaires, behavioral observation, and performance assessment, focusing on cognitive comprehension, learning motivation, and psychological engagement.
Results: The results demonstrate that AR-assisted learning significantly enhances users’ cognitive performance and psychological participation compared with traditional learning approaches. Participants in the experimental group exhibited a higher level of understanding of paper-cutting techniques, stronger learning motivation, and deeper emotional connection to cultural content. The immersive and interactive features of AR effectively reduce cognitive barriers, promote knowledge construction, and enable users to transform abstract cultural concepts into intuitive and meaningful experiences. Moreover, participants showed a greater willingness to continue learning and engaging with intangible cultural heritage.
Conclusion: From a psychological–cognitive perspective, AR-based design provides an effective approach for improving the transmission of intangible cultural heritage. By facilitating cognitive processing, emotional engagement, and experiential learning, AR bridges the gap between traditional cultural forms and contemporary audiences. This study not only enriches the theoretical understanding of digital heritage education but also offers practical implications for designing psychologically informed interactive systems, contributing to the sustainable development and dissemination of cultural heritage.
Psychological Medicine & Mental Health Nursing
#40
A Study on the Psychological Health Effects of Traditional Chinese Medicine Health Foods
Xiangzhu Yan1, Bing Yu2, Yue Tan1, Baoying Zhang1, Xiyuan Wang1, Yanping Han1
1School of Health and Well-being, Changchun Humanities and Sciences College, Changchun, China
2School of nursing and well-being, Changchun Humanities and Sciences College. Changchun, China
Objective: In response to the increasing psychological pressure, frequent anxiety and depression among modern populations, and the growing demand for natural and gentle methods of mental well-being, this study systematically explores the specific effects of traditional Chinese medicine (TCM) dietary health foods on mental health, based on the core concept of ‘medicine and food sharing the same source.' The study aims to clarify their mechanisms and influencing factors, address the current fragmented research and unclear effects in the field of TCM dietary mental health, and provide theoretical support and practical guidance for the development, promotion of TCM dietary health foods, and the formulation of mental wellness programs.
Methods: A literature review method was used to systematically summarize relevant theories and research findings on TCM dietary therapy and mental wellness, screening TCM dietary ingredients and formulas with potential mental health benefits. Subjects meeting inclusion criteria were divided into an experimental group (consuming designated TCM dietary health foods) and a control group (consuming regular health foods). Tools such as the Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), and Profile of Mood States (POMS), combined with physiological indicators (e.g., cortisol, serum 5-hydroxytryptamine levels), were used to conduct an 8-week intervention experiment. Descriptive statistics, paired sample t-tests, independent sample t-tests, and correlation analyses were applied to compare and analyze changes in psychological states and physiological indicators before and after the intervention, alongside semi-structured interviews to collect qualitative data, verifying the mental health effects of TCM dietary health foods.
Results: After the intervention, SAS and SDS scores in the experimental group decreased significantly compared to pre-intervention (P<0.01), while positive mood scores in the POMS scale increased significantly and negative mood scores decreased significantly (P<0.05). Serum 5-hydroxytryptamine levels increased significantly, and cortisol levels decreased significantly (P<0.05), with all indicators showing greater improvements than the control group. The mental health effects varied among different types of TCM dietary health foods, with spleen-strengthening and calming, liver-soothing and qi-regulating foods showing the most pronounced mood improvement effects. Age, consumption frequency, and baseline psychological state significantly influenced dietary effects, with young and middle-aged individuals and regular consumers experiencing more pronounced mental wellness benefits.
Conclusion: TCM dietary health foods have significant mental wellness effects, effectively alleviating negative emotions such as anxiety and depression and regulating physiological indicators. These effects are closely related to the ingredients, formulas, consumption methods, and individual characteristics. As a natural, safe, and easily accepted wellness approach, TCM dietary therapy can complement the limitations of traditional psychological interventions, offering a new path for mental health maintenance in modern populations.
#41
Psychological and Nursing Implications of Carbon-Neutral Transitions in Hospital Environments
Xueping Chen
Beijing Beiyuan Vitiligo Medical Research Institute, Beijing, China
Objective: This study aims to examine the psychological and nursing implications of the carbon-neutral transition in hospital environments. As healthcare institutions increasingly adopt sustainability measures—such as energy-efficient infrastructure, waste reduction, and low-carbon clinical practices—it is essential to understand their psychological impact on healthcare professionals and patients, as well as their influence on nursing practice and work adaptation.
Methods: A mixed-methods design was adopted, combining quantitative surveys and qualitative interviews. A total of 500 participants, including nurses, physicians, and patients from three tertiary hospitals undergoing carbon-neutral transformation, were recruited. The survey evaluated psychological parameters such as occupational stress, eco-anxiety, job satisfaction, and perceived organizational support. Semi-structured interviews with 30 nurses explored emotional adaptation, professional identity, and coping strategies during the sustainability transition. Quantitative data were analyzed using multivariate regression, while qualitative data underwent thematic analysis.
Results: The findings revealed that while the carbon-neutral transition was broadly perceived as positive, it initially generated heightened stress and uncertainty among healthcare workers due to workflow modifications and environmental compliance demands. Nurses reported transient increases in workload and anxiety but also experienced growing environmental awareness, professional pride, and emotional engagement as the transition progressed. Patients treated in sustainable wards reported reduced psychological stress, improved comfort, and higher satisfaction associated with enhanced environmental quality.
Conclusion: The shift toward carbon neutrality in hospitals exerts significant psychological and nursing effects. Although initial stress and adaptation difficulties are evident, long-term outcomes demonstrate improvements in mental well-being, ecological consciousness, and quality of care. Integrating psychological support systems, participatory communication, and sustainability education into hospital transition policies can strengthen staff resilience and promote a healthier, environmentally responsible healthcare culture.
#42
Combined Evaluation of Coagulation Parameters and Myocardial Biomarkers in Patients with COPD Complicated by Coronary Heart Disease: Associations with Prognosis and Psychological Health
Wanping Ye
Mianzhu People's Hospital, Mianzhu, China
Objective: To investigate the expression patterns of five coagulation parameters in combination with myocardial injury biomarkers in patients with chronic obstructive pulmonary disease (COPD) complicated by coronary heart disease (CHD), and to evaluate their prognostic value while incorporating the potential impact of psychological health status on disease progression and outcomes.
Methods: A total of 71 patients diagnosed with COPD complicated with CHD between April 2022 and January 2025 were enrolled as the observation cohort, all of whom received standard clinical treatment. Fifty-seven age-matched healthy individuals undergoing routine physical examinations during the same period were included as the control group. After a 3-month follow-up, patients were stratified into a good prognosis group (stable condition with preserved cardiopulmonary function) and a poor prognosis group (disease progression, mortality, or referral for advanced care). Coagulation parameters, including prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (FIB), thrombin time (TT), and platelet count (PLT), were measured using automated analyzers. Myocardial biomarkers—cardiac troponin I (cTnI), myoglobin (Myo), and creatine kinase-MB (CK-MB)—were assessed via chemiluminescence assays, while C-reactive protein (CRP) levels were determined using immunoturbidimetry. Additionally, psychological status (e.g., stress and anxiety levels) was clinically evaluated to explore its association with biomarker alterations and prognosis.
Results: Compared with the control group, patients in the observation group exhibited significantly shortened PT, APTT, and TT (P < 0.05), alongside elevated levels of FIB, PLT, cTnI, Myo, CK-MB, and CRP (P < 0.05), indicating a hypercoagulable state and myocardial injury. Among the 71 patients, 16 (22.54%) were classified into the poor prognosis group. These patients demonstrated significantly shorter PT, APTT, and TT, and higher levels of FIB, PLT, myocardial biomarkers, and CRP compared to the good prognosis group (P < 0.05). Notably, patients with poorer psychological health (elevated stress and anxiety indicators) tended to exhibit more pronounced inflammatory responses and coagulation abnormalities, suggesting a potential interaction between psychological distress, systemic inflammation, and cardiovascular risk.
Conclusion: Patients with COPD complicated by CHD exhibit significant abnormalities in coagulation function and myocardial injury markers, reflecting a hypercoagulable and pro-inflammatory state. The combined assessment of these biomarkers provides valuable prognostic information. Furthermore, psychological health appears to modulate disease severity and biomarker expression, highlighting the importance of integrating mental health evaluation into comprehensive clinical management strategies to improve patient outcomes.
#43
Research on Intelligent Diagnosis of Psychological Diseases Based on Artificial Intelligence Models and Magnetic Resonance Imaging
Junxiu Wang1, Xupeng Lu2,3, Jingang Liu1
1Department of Computer Engineering, Taiyuan Institute of Technology, Taiyuan, China
2Department of Science, Taiyuan Institute of Technology, Taiyuan, China
3Faculty of Information Technology, City University Malaysia, Petaling Jaya, Malaysia
Objective: This research plan combines artificial intelligence methods with magnetic resonance imaging data to establish an automated and high-precision system for assisting in the diagnosis of psychological disorders. I hope to improve the effectiveness of psychological disease diagnosis and facilitate early clinical intervention.
Methods: This study collected 500 samples, including 300 patients with psychological disorders such as depression and schizophrenia in the psychiatric department of a tertiary hospital; Another 200 people are healthy controls. All participants underwent structural and functional magnetic resonance imaging examinations, and their clinical diagnosis results were recorded according to DSM-5 standards.The data preprocessing adopts standard procedures: FSL and SPM tools are used to perform head motion correction, registration, and denoising on the images. Then, feature extraction was carried out, extracting morphological indicators such as gray matter volume and cortical thickness, as well as functional connectivity strength and local consistency between brain regions. Based on these features, a classification model was established and compared: on the one hand, a 3D convolutional neural network based on deep learning was used, and on the other hand, traditional machine learning methods such as support vector machines and random forests were also incorporated. In model training, various parameters were systematically optimized through cross validation. Finally, the overall performance of the model was evaluated, with main reference indicators including classification accuracy, sensitivity, specificity, and AUC value.
Results: The analysis of neuroimaging features shows that there are significant differences between the group of patients with psychological disorders and the healthy control group in some key brain regions. These brain regions include the default network and peripheral system structures such as the hippocampus and amygdala, and their inter group differences in structural volume or functional connectivity strength are statistically significant (P<0.05). In model performance evaluation, deep learning architectures have the best overall diagnostic performance. The model achieved a classification accuracy of 89.2% in distinguishing between psychological disorders and healthy controls, with a subject working characteristic curve area of 0.92, which is significantly better than traditional machine learning methods such as support vector machines. The accuracy of this model in distinguishing depression from schizophrenia is 82.1%, with a corresponding area under the curve of 0.88. In terms of sensitivity analysis, the results indicate that even for early patients with a disease course within two years, the diagnostic ability of the model still maintains a high level, with an accuracy rate of not less than 85%. Meanwhile, based on feature importance assessment, this study identified key neuroimaging features closely related to clinical symptoms. For example, brain area indicators related to emotional regulation and cognitive function are significantly associated with symptoms such as low mood and cognitive impairment in patients.
Conclusion: By analyzing magnetic resonance imaging, it is possible to effectively identify abnormal features of brain structure and function in patients with psychological disorders. The auxiliary diagnostic system developed in this article has shown high accuracy and stable cross sample adaptability in testing, and is expected to provide an efficient and objective auxiliary evaluation tool in clinical practice. In addition, prospective clinical studies should be promoted for systematic validation, in order to provide more reliable evidence for the accurate diagnosis and treatment of psychological disorders.
Acknowledgements: Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi: Research on Key Technologies in Deep Learning-Based Radiomics for Quantitative Analysis of Breast Cancer Diagnosis and Prognosis(2023L354); Taiyuan Institute of Technology Scientifc Research Initial Funding: Research on Key Technologies for AI-Based Quantitative Analysis of Breast Cancer Diagnosis and Prognosis(2023KJ041); Program for the Discipline Leaders of Taiyuan Institute of Technology: Research on a Multimodal Radiomics Deep Learning for Molecular Subtyping and Treatment Response Prediction in Breast Cancer(24020105).
Social & Economic Psychology, Psychological Management, and other related science
#44
An Empirical Study on the Marginal Effect of the Ticket Economy from the Perspective of Consumer Psychology
Lihua Liu
Department of Economics and Management, Zhangjiajie University, Zhangjiajie, China
Objective: With the vigorous development of the experience economy and its deep integration with digital technology, the ticketing economy centered on movies, performances, and sporting events has become a significant component of the modern consumer market. The marginal effect of the ticket economy describes how revenue growth and other benefits gradually diminish as ticket prices which are adjusted or ticket-dependent business models expand. Consumer psychology shapes tourists' perception of ticket value, while anxiety amplifies concerns about cost-effectiveness and risks. These two factors collectively accelerate the diminishing marginal effect of the ticket economy.
Methods: In order to study the influence of the tourist's consumption psychology and the tourist's consumption anxiety on the diminishing marginal effect of ticket economy, this paper adopts the literature review, the questionnaire survey, the data modeling and the combination of the three to construct the “psychological demand-consumption anxiety-marginal utility”. This study aims to construct an analytical model that integrates consumer psychological factors to explore their specific mechanisms of influence on the marginal effects of ticket consumption. Through theoretical deduction and simulation analysis, this research proposes that these psychological factors significantly alter the shape of the standard demand curve, thereby affecting the marginal propensity to consume and the overall scale of consumption.
Results: To address the consumption patterns of different groups, we establish tailored psychological thresholds and align differentiated experiences with their value anchors, thereby alleviating consumption anxiety and optimizing marginal effect pathways. The results indicate that consumer psychological factors exert a non-linear moderating effect on the marginal utility of the ticketing economy by influencing consumers' perceived value, risk assessment, and decision-making comfort.
Conclusion: The marginal effect of consumer psychology and consumer anxiety on ticket economy and Consumer psychology determines tourists' evaluation of ticket value, while consumption anxiety amplifies their concerns about cost-effectiveness and risk, which the two factors accelerate the diminishing marginal effect of ticket economy.When the ticket evolved from “entry voucher” to “experience carrier”, the consumption psychology has become the core variable that determines the marginal effect of ticket economy. This study provides key theoretical foundations and practical guidance for ticketing platforms and content providers to achieve value creation and deepen customer relationships in a highly competitive market.
Acknowledgements: This work was supported by a project grant from Zhangjiajie Social Project (2025.4).
#45
Empowerment and Symbiosis: A Study on the Psychological Mechanisms, Organizational Cognition, and Systemic Synergy of AI-Driven New-Quality Productive Forces in Enterprises
Ye Yang, Yanfeng Cong
School of Economics and Management, North China University of Science and Technology, Tangshan, China
Objective: This study aims to explore how advancements in artificial intelligence (AI) technology drive the formation of “new-quality productive forces” (NQPF) in enterprises by reshaping organizational cognition and behavioral patterns. The core of the study lies in analyzing how AI acts as a “cognitive catalyst” to enhance the coupling and coordination degree (CCD) among various subsystems within enterprises, and in deeply examining the mediating effects of risk perception under financing pressure, self-efficacy during digital transformation.
Methods: Based on panel data from Chinese A-share listed companies from 2015 to 2022 (a total of 12,064 samples), the study employs an enhanced CCD model and the CRITIC method to measure the level of co-evolution of new-quality productive forces. Empirical tests were conducted using a three-way fixed-effects model, and mediation models combined with Bootstrap methods were utilized to validate the underlying logic and pathways of AI-driven productivity transformation from an industrial and organizational psychology perspective.
Results: The Driving Effect of AI: AI has significantly boosted the enhancement of new-quality productive forces in enterprises; this effect essentially manifests as technology expanding the boundaries of human cognition. Psychological and Organizational Heterogeneity: This effect is more pronounced in non-state-owned enterprises, the manufacturing sector, and enterprises in eastern regions, reflecting that such organizations possess greater cognitive flexibility and a higher acceptance of change.
Conclusion: Artificial intelligence is not merely a technical tool but also a core cognitive engine for cultivating new-quality productivity in enterprises, driving organizational subsystems toward orderly coordination and steady-state development. Decision-makers and managers should formulate differentiated AI-empowerment strategies based on the enterprise’s ownership attributes and psychological-cultural characteristics. By alleviating the cognitive load caused by financing constraints, stimulating the psychological contract for digital transformation, and leveraging the catalytic effect of environmental regulation, they can guide enterprises in achieving a dual psychological and material leap from traditional productivity to new-quality productivity.
#46
“Baomuba” Ideal Archetype: An Exploration of Psychological Health Resources and Mental Well-Being within the Collective Unconscious
Yuan Yuan
Northwest Minzu University, Lanzhou, Gansu, China
Objective: This study moves beyond literary and ethnographic interpretations of the “Baomuba” utopia in The Epic of Jangar to explore its psychological origins as a manifestation of a universal “utopian complex” within the human psyche. It aims to demonstrate its enduring spiritual value in promoting psychological health and mental well-being. The study argues that “Baomuba” is not merely an imaginative construct, but a narrative “oasis of the soul” externalized from the collective unconscious, functioning as a coping mechanism in response to existential adversity and as a resource for sustaining collective mental health across generations.
Methods: Focusing on the ideal society of “Baomuba,” the study examines three defining features: material abundance, harmonious interpersonal relations, and a dynamic communal defense system. Together, these elements represent an archetypal model that satisfies fundamental human needs while fostering psychological well-being. The analysis is grounded in Jung’s theory of the collective unconscious and archetypes, complemented by Maslow’s hierarchy of needs. This integrative framework enables a systematic exploration of how the Baomuba ideal operates as a culturally embedded psychological resource, offering emotional security and mental nourishment.
Results: The findings reveal three key insights. First, “Baomuba” functions as a form of collective psychological compensation for the harsh realities of nomadic life, serving as an intrinsic psychotherapeutic mechanism that alleviates historical trauma and enhances resilience. Second, its social structure reflects hierarchical psychological needs—from safety and belonging to esteem and self-actualization—providing a narrative model for understanding positive mental health and life satisfaction. Third, cross-cultural comparison shows that “Baomuba” shares structural similarities with utopian imagery such as the “Peach Blossom Spring,” collectively representing a universal archetype rooted in the collective unconscious. These archetypal visions act as reservoirs of hope and meaning, buffering despair and supporting adaptive coping.
Conclusion: “Baomuba” embodies the utopian archetype within the collective unconscious, uniquely expressed in Mongolian cultural consciousness. It represents a symbolic framework that mitigates existential distress while promoting both individual and collective well-being. The study affirms that the pursuit of ideal societies is a deeply rooted psychological tendency that drives cultural development and innovation, while also serving as a protective factor for mental health. As the human desire for harmony and meaning endures, the utopian vision of “Baomuba” remains a vital psychological resource, offering enduring insights for contemporary mental health discourse and the pursuit of psychological flourishing.
#47
Research on the collaborative cultivation of social responsibility and psychological literacy of students in AIGC integrated into the teaching of digital media art specialty
Li Sun
Art College of Urumqi Vocational University, Urumqi, China
Objective: This study aims to explore how to integrate AIGC technology into the teaching of digital media art majors, in order to achieve the synergistic cultivation of students' social responsibility and psychological literacy. This research objective has important theoretical value and practical significance. Firstly, in today's rapidly developing technology, students not only need to master advanced creative tools, but also need to have a strong sense of social responsibility and be able to critically examine the social impact of technological applications. Secondly, the introduction of AIGC technology may have a profound impact on students' learning psychology, such as the emergence of technology dependence, creative anxiety, and other issues, requiring educators to pay attention to students' mental health and literacy improvement in the teaching process.
Methods: To verify the effectiveness of the teaching strategy of integrating AIGC into the digital media art major for the collaborative cultivation of students' social responsibility and psychological literacy, this study adopts empirical research methods and combines quantitative and qualitative analysis methods to ensure the scientific and reliable results of the research.
Results: The integration of AIGC technology has brought profound changes to the teaching of digital media art majors, especially in the collaborative cultivation of students' social responsibility and psychological literacy. Research has shown that AIGC not only expands students' creative boundaries, but also provides new paths for the formation of their social consciousness.
Conclusion: The practice of integrating AIGC into the teaching of digital media art majors shows that it has significant potential in collaboratively cultivating students' social responsibility and psychological literacy, and a scientifically reasonable teaching strategy is an important guarantee for achieving this goal.
#48
Psychological Acceptance of Traditional Chinese Culture in Modern Fashion Innovation: A Case Study of Ming Dynasty Clothing Culture
Jieli Zhong
1Department of Fashion Design, Faculty of Art and Design, Ganzhou Vocational and Technical College, Ganzhou, China
Objective: This study aims to investigate the psychological acceptance of integrating traditional Chinese cultural elements into modern fashion design, with a specific focus on Ming Dynasty clothing culture. It seeks to understand how historical aesthetics and symbolic elements influence contemporary consumers’ perceptions, preferences, and cultural identity in the context of fashion innovation.
Methods: A mixed-methods approach was adopted, combining quantitative surveys with qualitative interviews to evaluate consumers’ responses to modern fashion designs inspired by Ming Dynasty attire. Visual stimuli representing redesigned garments incorporating traditional patterns, colors, and structures were presented to participants. Survey instruments measured variables such as aesthetic preference, cultural identity resonance, perceived innovation, and purchase intention. In addition, interviews with designers and consumers were conducted to explore interpretive meanings and design cognition related to traditional cultural integration.
Results: The findings reveal that the incorporation of Ming Dynasty clothing elements significantly enhances consumers’ aesthetic appreciation and cultural identity recognition. Participants demonstrated higher acceptance levels toward designs that balance traditional symbolism with modern functionality. Elements such as embroidery patterns, silhouette structures, and traditional color schemes were found to positively influence emotional engagement and perceived cultural value. However, excessive preservation of historical forms without adaptation reduced perceived wearability and market appeal.
Conclusion: Integrating Ming Dynasty clothing culture into modern fashion design can effectively enhance psychological acceptance and cultural resonance among consumers when appropriately adapted. The study highlights the importance of achieving a balance between cultural authenticity and contemporary usability in fashion innovation. Future research may further examine cross-cultural acceptance and explore the role of digital technologies, such as virtual fashion and AI-assisted design, in promoting traditional culture within modern fashion systems.
#49
The Echoes of the “Madwoman”: The Reception and Resistance of Freud’s Psychoanalysis in Female Private Writing
Aihua Zhou
Jiaxing Nanhu University, Jiaxing, China
Objective: Since its introduction to China, Freudian psychoanalytic theory has exerted influence not only in clinical settings but also in literary creation. Female private writing, as a significant literary phenomenon that emerged within the context of the 1990s, employed autobiographical narratives to construct a series of madwomen images, reflecting female writers' psychological anxieties stemming from the absence of subjectivity within a patriarchal culture. The dialogue between this literary practice and Freudian theory remains insufficiently explored.
Methods: Employing a methodology that combines theoretical analysis with close reading, this study utilizes core concepts from Freudian Psychoanalysis—such as the Oedipus complex, libido, the unconscious, repression, dreams, and childhood trauma—as its theoretical framework. By examining the images of the madwomen in representative texts of female private writing, this paper explores how these figures reflected women's psychological struggles within the multiple structures of family and society.
Results: The findings revealed that the acceptance of Freudian theory in female private writing manifested in: (1) the incorporation of theories of the unconscious and dreams into writing; and (2) the appropriation of pathological formulations of female repressed experience. Its resistance, conversely, was embodied in: (3) the reconstruction of female subjectivity through the “madwoman” image, thereby subverting how “phallocentrism” defined female desire. Female private writing, therefore, didn’t not merely apply Freudian theory; rather, it constituted a dialogue and negotiation with it, opening up a narrative space of their own, imbued with a consciousness of resistance.
Conclusion: Female private writing constituted a significant site for the localization of psychoanalytic theory within the cultural context. The images of the madwomen, who deviated from social norms, both accepted Freud's revelations concerning the unconscious and repression and resisted the gender biases inherent in Freudian theory through the lens of female experience, thereby providing a psychological-cultural pathway for the reconstruction of subjectivity. This study extends the research on the cultural transmission of psychoanalysis and offers theoretical insights into the operation of psychological theories beyond the clinical realm.
Acknowledgments: This work was supported by the Post-Funding Project of Zhejiang Provincial Philosophy and Social Sciences Planning (Grant No. 25HQZZ077YB) as a part of its phased achievements.
#50
Integrating Mental Health Support into Elderly Education in Jiangxi Province: Strategies and Countermeasures under the Background of Population Aging
Junwen Wang, Qi Li
East China Jiaotong University, Nanchang, China
Objective: In the context of rapid population aging, elderly education has become a critical strategy for promoting active aging, advancing educational modernization, and fostering a lifelong learning society. With the increasing prevalence of mental health issues among older adults, the integration of mental health education—such as coping with anxiety and depression, emotional support, and social integration—has become essential. As a region experiencing deepening population aging, Jiangxi Province faces an urgent need to develop a comprehensive senior education system that combines knowledge acquisition with psychological support. This study aims to examine the current development of elderly education in Jiangxi, identify key challenges, and explore strategies for integrating mental health services into its framework.
Methods: This study adopts a combined methodology of literature review and case analysis. By synthesizing existing research and analyzing the current development of elderly education in Jiangxi, it evaluates institutional structures, curriculum design (with emphasis on mental health-related content), and the provision of psychological support services. The study further identifies major gaps and proposes targeted recommendations to improve both educational quality and mental well-being among the elderly population.
Results: Findings indicate that Jiangxi has initially established a multi-level and diversified system of elderly education. However, several critical challenges remain. These include: insufficient legislative and policy support; uneven distribution and inadequate supply of educational resources; limitations in the professional capacity of teaching staff; underdeveloped digital platforms tailored to elderly learners; and low levels of public awareness and participation. In particular, mental health education and psychological support services remain underdeveloped, limiting the overall effectiveness of senior education.
Conclusion: Based on the analysis, this study proposes five key recommendations: (1) strengthening institutional frameworks and policy support; (2) optimizing the allocation of regional educational resources; (3) enhancing the professional development of teaching staff; (4) advancing digital platform construction with integrated mental health education, online counseling, and emotional support functions; and (5) promoting multi-stakeholder participation to build a collaborative support network. A comprehensive and integrated approach will contribute to the sustainable development of elderly education, improve the well-being of older adults, and support broader social sustainability.
#51
Online Evaluation and Adaptive Correction of Protection Setting Mismatch in Power Systems: A Cyber-Physical and Human-Centric Perspective
Zhengya Luo, Chunmei Li, Ruidong Yang, Rui Zhang, Yadang Shen
Yunnan Power Grid Co., Ltd. Lincang Power Supply Bureau, Yunnan, China
Objective: This study aims to develop an integrated framework for the online evaluation and adaptive correction of protection setting mismatches in power systems, while incorporating human factors related to operator cognitive load and psychological well-being. Specifically, the research seeks to (1) identify and quantify mismatches between relay protection settings and real-time system conditions, (2) design an adaptive correction mechanism based on dynamic system states, and (3) examine how decision-making stress and cognitive burden among system operators influence the reliability and timeliness of protection setting adjustments.
Methods: A hybrid methodology combining data-driven modeling and human-factor analysis is proposed. First, a real-time monitoring model is constructed using synchrophasor data and state estimation techniques to detect deviations between preset protection parameters and actual grid operating conditions. Machine learning algorithms, including Transformer-based architectures and anomaly detection models, are employed to assess mismatch severity and predict potential fault risks. Second, an adaptive correction strategy is developed using reinforcement learning to optimize protection settings under varying system dynamics. Third, a human-in-the-loop experimental design is introduced, integrating psychometric scales (e.g., perceived stress, cognitive load index) and physiological indicators (e.g., heart rate variability) to evaluate operator mental states during decision-making processes. Structural equation modeling (SEM) is further used to analyze the interaction between psychological stress, cognitive performance, and system reliability.
Results: The proposed framework demonstrates high accuracy in detecting protection setting mismatches, with significant improvements in fault identification speed and reduction in false tripping rates compared to conventional methods. The adaptive correction mechanism effectively aligns protection parameters with real-time system conditions, enhancing grid resilience and operational stability. Furthermore, empirical findings reveal that elevated cognitive load and psychological stress significantly impair operator response efficiency and increase the likelihood of delayed or incorrect interventions. Incorporating human-centered feedback into the adaptive system reduces operator workload and improves overall decision quality.
Conclusion: This study highlights the importance of integrating technical optimization with psychological considerations in modern power system protection. The proposed online evaluation and adaptive correction framework not only enhances the accuracy and robustness of protection settings but also mitigates the adverse effects of operator stress on system performance. By bridging cyber-physical intelligence with human-centric design, the research provides a novel interdisciplinary approach for improving both system reliability and operator mental health, offering valuable insights for the development of next-generation intelligent power grids.
Acknowledgements: This work was supported by China Southern Power Grid Company Limited Project Funding (Grant Number: YNKJXM20240360).
#52
Uncovering Neural Circuit Mechanisms of Tai Chi Intervention on Adolescent Depression: Evidence from EEG-Based Analysis
Yan Li
School of Physical Education, Ningxia Normal University, Guyuan, China
Objective: This study aims to investigate the neural circuit mechanisms underlying the regulatory effects of Tai Chi exercise on depressive symptoms among middle school students. Integrating perspectives from cognitive neuroscience and mental health research, the study seeks to elucidate how Tai Chi influences brain functional connectivity and emotional regulation processes, thereby contributing to adolescent psychological well-being.
Methods: A quasi-experimental design was employed involving middle school students with mild to moderate depressive symptoms. Participants were randomly assigned to a Tai Chi intervention group and a control group. The intervention group engaged in a structured Tai Chi training program for 12 weeks, while the control group maintained their regular activities. Resting-state and task-related electroencephalography (EEG) data were collected before and after the intervention. Psychological assessments, including standardized depression and emotional regulation scales, were administered concurrently. EEG analyses focused on spectral power, functional connectivity (e.g., coherence and phase synchronization), and brain network topology, particularly within prefrontal–limbic circuits associated with emotional processing.
Results: The findings revealed that participants in the Tai Chi group exhibited significant reductions in depressive symptoms and improvements in emotional regulation compared to the control group. EEG results indicated increased alpha and theta power in frontal and central regions, alongside enhanced functional connectivity between the prefrontal cortex and limbic areas. Network analysis demonstrated improved efficiency and integration within emotion-related neural circuits. These neurophysiological changes were significantly correlated with improvements in psychological measures, suggesting a robust brain–behavior relationship.
Conclusion: Tai Chi exercise appears to alleviate depressive symptoms in adolescents by modulating neural activity and strengthening functional connectivity within prefrontal–limbic circuits. The findings highlight the potential of mind–body interventions in promoting adolescent mental health and provide neurophysiological evidence for the integration of traditional physical practices into school-based psychological interventions. This study contributes to the growing body of literature on non-pharmacological approaches to depression and offers important implications for preventive mental health strategies in educational settings.
#53
From Schema to Style: The Mediating Role of Cognitive Strategies in the Translation of Aesthetic Value
Yujian Chen
School of modern languages, Newcastle University, Newcastle, UK
Objective: This study explores the cognitive-psychological processes translators employ to reproduce aesthetic value in interlingual transfers. While research on semantic equivalence and pragmatic adaptation is extensive, the psychological mechanisms enabling aesthetic transmission remain underexplored. A theoretical framework integrating Gestalt psychology, schema theory, and cognitive load theory is proposed to explain translators’ processing, transformation, and reconstruction of literary aesthetics.
Methods: The study combines theoretical analysis and case studies, grounded in translation cognition. It develops a three-stage cognitive-psychological model: (1) aesthetic perception: holistic understanding via Gestalt principles; (2) schematic processing: activation, matching, and adaptation of cognitive schemas; (3) stylistic generation: cognitive strategies for target-text production. Case analyses include Chinese classical poetry (Li Bai), cultural metaphors (duì niú tán qín), and complex English prose (Henry James), examining how source-text schemas translate into stylistic realizations.
Results: Translators’ ability to achieve aesthetic translation depends on strategic use of cognitive-psychological mechanisms at each stage. In perceiving aesthetic wholes, Gestalt principles guide understanding of source texts. During schematic processing, cognitive schemas of language, text, culture, and aesthetics are activated and dynamically modified to bridge conceptual gaps. Stylistic generation employs compensatory production, perspective modulation, and creative transposition to preserve aesthetic effects alongside structural equivalence. Experts manage cognitive load via strategies such as chunking, scaffolding, and selective attention to allocate mental resources efficiently. Translation quality is closely linked to translators’ psychological adaptation of schemas and deployment of complex cognitive strategies.
Conclusion: Aesthetic translation is fundamentally a psychological activity, extending beyond language transfer. This study offers a cognitively grounded model for translators’ schema transformation and cognitive load management, providing theoretical support for psychology-informed pedagogy. Translator training should emphasize cognitive-psychological strategy development, broaden aesthetic schema repertoire, and enhance capacity to manage translation-related cognitive demands, expanding the theoretical knowledge of translation psychology.
#54
Correlation Between Loess Compaction Characteristics and Psychological Safety Perception in Engineering Projects
Jie Li1, Fuli Ma2
1College of Vehicle and Transportation Engineering, Taiyuan University of Science and Technology, Taiyuan, China
2College of Civil Engineering, Taiyuan University of Technology, Taiyuan, China
Objective: This study aims to investigate the relationship between the compaction characteristics of loess in engineering projects and the psychological safety perception of construction personnel. It seeks to understand how geotechnical properties and construction conditions influence workers’ confidence, risk perception, and overall psychological state during project execution.
Methods: A mixed research methodology was adopted, combining laboratory testing of loess compaction properties with field-based psychological assessments. Key engineering parameters, including optimal moisture content, maximum dry density, and compaction degree, were measured through standardized geotechnical experiments. Simultaneously, questionnaires and on-site observations were used to evaluate workers’ perceived safety, stress levels, and trust in construction processes. Statistical analysis was conducted to explore the interaction between physical engineering conditions and psychological responses.
Results: The findings suggest a significant correlation between stable compaction conditions and enhanced psychological safety among workers. Projects with well-controlled compaction parameters and consistent soil performance were associated with higher levels of worker confidence and reduced anxiety. In contrast, variability in soil behavior or inadequate compaction led to increased uncertainty and heightened safety concerns. The clarity of construction procedures and the reliability of engineering outcomes played a key role in shaping psychological perceptions.
Conclusion: The study demonstrates that engineering factors, particularly loess compaction characteristics, have a measurable impact on construction workers’ psychological safety perception. Ensuring consistent and reliable compaction processes not only improves structural quality but also contributes to a safer and more psychologically secure working environment. Future research may investigate the integration of real-time monitoring technologies and human-centered safety management strategies to further enhance both engineering performance and workforce well-being.
Acknowledgements: This work is supported by the Doctoral Research Initiation Fund of Taiyuan University of Science and Technology (No.20212067) and Reward funds for outstanding doctoral students working in Shanxi Province (No. 20222143).
#55
Influence of an AI-Integrated Interdisciplinary Learning Model on University Students’ Cognitive Engagement, Learning Behaviors, and Mental Health
Ruoyang Han
School of Education, Longdong University, Qingyang, China
Objective: Under the national educational digitalization strategy, artificial intelligence (AI)–enabled interdisciplinary education has emerged as a key innovation in higher education. This study aims to investigate the effects of an “AI + interdisciplinary” training model on university students’ learning cognition, learning behaviors, and psychological well-being, with a particular focus on cognitive engagement, self-regulated learning, and mental health outcomes.
Methods: A mixed-methods research design was employed. Quantitative data were collected from undergraduate students participating in AI-integrated interdisciplinary programs and traditional single-discipline programs using validated questionnaires measuring learning cognition (e.g., cognitive engagement and metacognitive awareness), learning behaviors (e.g., self-regulated learning strategies and learning persistence), and psychological well-being (e.g., perceived stress, learning anxiety, and academic self-efficacy). Structural equation modeling (SEM) was applied to examine the relationships among instructional mode, learning cognition, behavior, and mental health indicators. Qualitative data from semi-structured interviews were used to further explore students’ subjective learning experiences and emotional responses in AI-supported interdisciplinary learning environments.
Results: The results indicate that the “AI + interdisciplinary” training model significantly enhances students’ higher-order cognitive engagement, metacognitive regulation, and autonomous learning behaviors compared with traditional instructional models. Improved learning cognition was found to mediate the positive relationship between AI-supported interdisciplinary learning and adaptive learning behaviors. Moreover, students exposed to the AI-enhanced interdisciplinary model reported lower levels of learning-related anxiety and perceived stress, alongside higher academic self-efficacy and psychological resilience. Qualitative findings further revealed that AI-driven personalized feedback and interdisciplinary problem-solving tasks contributed to reduced cognitive overload and improved emotional well-being.
Conclusion: This study demonstrates that the “AI + interdisciplinary” training model, within the framework of educational digitalization, not only promotes effective learning cognition and behaviors but also supports students’ psychological well-being. The findings suggest that cognitively adaptive AI tools and interdisciplinary curricula can jointly foster sustainable learning motivation and mental health in higher education. These results provide empirical evidence for the design of student-centered, psychologically supportive AI-integrated educational systems and offer practical implications for the implementation of digital education strategies in universities.
#56
KFE: A Dynamic Fountain-Based Encryption Scheme with Adaptive Key Length from the Perspective of Safety Psychology
Luying Li1, Qingru Zhang2, Xian Li1, Yao Liu1, Liling Zhou3
1School of Intelligence and Engineering, Wuhan Institute of Design and Sciences, Wuhan, China
2School of Artificial Intelligence, Beijing Normal University, Beijing, China
3School of Data Information, Changjiang Polytechnic, Wuhan, China
Objective: With the rapid proliferation of IoT and edge computing devices, applications increasingly face conflicting demands between strong security and lightweight performance. Robust encryption ensures secure communication, whereas battery-powered or real-time systems require minimal computational overhead. Traditional block ciphers such as AES or SPECK rely on fixed structures, forcing rigid trade-offs between security and efficiency. This inflexibility not only limits adaptability but also imposes significant cognitive and decision-making burdens on system designers.
Methods: To address these challenges, we propose KFE (Key-length-variable Fountain Encryption), a novel symmetric encryption primitive based on reversible Fountain codes. KFE enables continuous adjustment of security strength by directly linking the number of encryption rounds to the key length (4–32 bytes). Each key byte functions as an independent round sub-key. In every round, a non-linear transformation produces multiple seeded candidates, which are combined with a single-bit impurity injection derived from sub-key positions. These are processed through a reversible Fountain encoding step, creating a cascading diffusion effect. This design supports smooth transitions from lightweight protection to strong security while maintaining full reversibility.
Results: Benchmarking on ARM Cortex-M4 and AVR platforms shows that KFE with a 16-byte key (KFE-128) achieves 78–85% of AES-128-CBC throughput with comparable code size. Reducing the key to 8 bytes (KFE-64) decreases encryption time by 48–53%, while still requiring over 2^100 operations for the best-known differential and linear attacks. For key lengths ≥12 bytes, no practical distinguishers were identified below 2^128 complexity. The memory footprint remains under 2 KB RAM and 18 KB flash across configurations.
Conclusion: KFE provides fine-grained, adaptive tuning of the security–efficiency trade-off through a unified and flexible framework. By binding encryption rounds to key length and leveraging Fountain-code-based diffusion with non-linear seeding, it eliminates the need for multiple cipher deployments. This approach reduces system complexity and developer burden, offering a practical solution for resource-constrained, high-uncertainty environments such as industrial IoT and edge networks.
Acknowledgements: This research work is supported by the 2023 Hubei Provincial Education Science Planning ProjectExploration and Practice of Project-based Software Engineering Course Construction Based on Industry-Education Integration (2023GB167).
#57
A Safety-Oriented Psychological Mobility Design Framework for Elderly Users in an Aging Society
Junyang Wang, Park Jeongjoo
Wonkwang University School of Visual Arts and Design, Yishan, Korea
Objective: As global aging continues to accelerate, China has seen its population of internet users aged 60 and above reach 161 million. However, elderly users often face challenges related to cognitive decline and reduced perceptual abilities when using mobile devices. Existing mobile design primarily focuses on functional adaptation, often overlooking the psychological safety needs of older adults, leading to issues such as fear of operational errors and concerns over data leakage.
Methods: This study adopts a literature review approach to examine research on age-friendly mobile design, psychological safety of elderly users, and inclusive mobility both domestically and internationally. A combination of questionnaires and user interviews was conducted with 120 elderly participants aged 60 to 85 to explore their psychological safety needs and pain points when using mobile devices. A mixed-methods approach integrating user experience testing and data analysis was employed to validate the rationality of key design elements. Through iterative refinement and synthesis, a design framework was ultimately developed.
Results: The core psychological safety needs of elderly users were identified as risk controllability, operational certainty, and privacy protection. A three-layer framework-“safety perception-psychological adaptation-function implementation” has been established. It includes eight key design elements, such as high contrast interface, simplified navigation and multimodal feedback. Validation results indicate that this framework reduces cognitive load by over 40% among elderly users, enhancing their sense of security and satisfaction while alleviating digital anxiety.
Conclusion: Psychological safety is a fundamental concern for elderly users in mobile interactions. The proposed design framework effectively integrates safety functionality with psychological needs, addressing gaps in existing designs. This framework can serve as a scientific guide for age-friendly mobile product development, ultimately improving the digital well-being of elderly users.
#58
A Psychological Model for Vocal Music Instruction in Higher Education Under the New Curriculum Reform: A Blended Learning Perspective
Shiyang Chen
Hunan Normal University, Changsha, China
Objective: This study aims to develop a psychological and pedagogical model for vocal music instruction in higher education within the context of the New Curriculum Reform (NCR), with an emphasis on the integration of blended learning and educational psychology. The research investigates the interplay between psychological mechanisms and student-centered, technology-enhanced instructional strategies. It seeks to address the limitations inherent in traditional vocal music education by fostering holistic psychological development, creativity, and interdisciplinary learning, thereby supporting both the cognitive and affective dimensions of musical performance.
Methods: A quantitative research design grounded in educational and psychological measurement was employed to construct and validate the blended learning model for vocal music teaching. This study involved 373 students selected via cluster random sampling from 21 universities in Hunan Province, ensuring representativeness and diversity in terms of psychological and musical backgrounds. Data were collected using a standardized questionnaire comprising four latent constructs: Student-Centered Approach, Holistic Development, Technological Integration, and Learning Outcomes. Structural Equation Modeling (SEM) was conducted using AMOS to examine the causal relationships among pedagogical and psychological variables, with particular attention to the mediating role of affective and cognitive factors in shaping learning outcomes.
Results: The results reveal that a student-centered approach exerts a significant positive effect on holistic development (β=0.75) and technological integration (β=0.60). These factors, in turn, contribute to enhanced learning outcomes (β=0.70). Furthermore, holistic development and technological integration serve as mediators in the relationship between student-centered practices and learning outcomes, underscoring their critical roles in cultivating creativity, critical thinking, and interdisciplinary competencies. The model achieved excellent fit indices (CFI = 0.95, RMSEA = 0.04), confirming its validity and reliability in integrating educational and psychological mechanisms of blended music learning. The findings indicate that psychological constructs such as emotional engagement, intrinsic motivation, and mental resilience significantly influence students’ creativity and interdisciplinary learning.
Conclusion: The study concludes by offering recommendations for the adoption of blended teaching strategies, the integration of interdisciplinary curricula, and the utilization of advanced technological tools to transform vocal music education. This research presents a comprehensive framework for addressing contemporary challenges in higher education, thereby making a significant contribution to the field of music education. Furthermore, it contributes to both music pedagogy and educational psychology by providing an empirically validated model that bridges teaching innovation with psychological development and fosters comprehensive growth across cognitive, affective, and creative domains.
Acknowledgements: I would like to express our sincere gratitude to all individuals and institutions that contributed to the successful completion of this resear, especially the support from the Department of Education of Hunan Province, China (Project No.: HNJG-2022-0061).
#59
Monumentality, Psychological Schema, and an Affective-Cognitive Framework for Architectural Heritage
Jiayue Shen, Yunyi Wu
College of Fashion & Design, Donghua University, Shanghai, China
Objective: The significance of architecture extends beyond its physical form and historical narrative, residing fundamentally in how it is perceived, experienced, and internalized by individuals and communities. This study examines a representative neoclassical heritage building through an interdisciplinary lens, integrating Wu Hung’s concept of “monumentality” with perspectives from environmental psychology and arts healing. It introduces the “psychological schema”—a relatively enduring cognitive and affective structure evoked in individuals by specific environments—as a key analytical construct.
Methods: Focusing on three interrelated dimensions—spatial perception, symbolic representation, and the transformation of memory—the paper traces the evolution of the building’s monumentality and its psychological reinterpretation across its functional lifecycle, from its original use to its present status as cultural heritage. Drawing on the conceptual tools of environmental psychology and arts healing, the study investigates how the psychological schema, as a mental framework shaped by the built environment, mediates the ways in which architectural forms and symbolic systems inform collective memory, identity, and processes of socio-psychological integration.
Results: The findings illuminate how the building’s formal vocabulary, spatial sequencing, and symbolic ornamentation historically structured an experience marked by order and authority, thereby shaping collective memory and identity. Its scale, axial progression, and materiality once evoked a sense of “awe” closely tied to narratives of colonial power. Following a shift in function and its formal recognition as heritage, however, the site has undergone a gradual affective reinterpretation. What was once associated with traumatic memory has increasingly become a vessel for historical dialogue, contributing to collective emotional reconciliation and social cohesion.
Conclusion: This case demonstrates that the monumentality of architecture is rooted not only in its form and history but also within the continuously evolving collective psychological schemata. This process reveals a profound truth: truly vital historical buildings are not only monuments of power but should also be therapeutic spaces that participate in social emotional repair and promote collective identity. For the future conservation and interpretation of architectural heritage, focusing on the psychological impact and affective dimension of space is as crucial as attending to its formal and historical values.
#60
A Quantitative Study on the Coupled Effects of Pleasant Foreign Language Learning Experiences on Psychological States and Learning Behaviors Among Engineering University Students
Mingshu Yao1, Zichuan Huang2, Bo Liu2
1Foreign Languages School, Southwest Petroleum University, Chengdu, China
2School of Economics and Management, Southwest Petroleum University, Chengdu, China
Objective: With the advancement of positive psychology, foreign language learning research has shifted its focus from negative emotions like anxiety to positive affective variables such as enjoyment. However, engineering students often perceive foreign languages as “secondary tasks,” potentially leading to low learning motivation and diminished enjoyment experiences. Research on this group remains limited. Existing studies predominantly examine the isolated effects of enjoyment on psychological states or behaviors, overlooking their dynamic “coupling effects.” Therefore, it is necessary to quantitatively investigate how engineering students' foreign language enjoyment dynamically influences their psychological states and learning behaviors to fill this research gap and optimize teaching practices.
Methods: This study selected 251 engineering university students as research subjects. The Foreign Language Enjoyment Scale (FLES) measured students' enjoyment of foreign language learning, while the Chinese College Students' English Learning Strategies Scale (SICUSLE) assessed their engagement in foreign language learning. Binary regression analysis was conducted between the “enjoyment experience score” and “learning behavior score” from the scales. Mediating and moderating effects analyses revealed the role of enjoyment experience in this coupling relationship.
Results: A survey of 251 engineering university students revealed overall positive foreign language learning enjoyment (total mean M=3.92, SD=0.58), but dimensional imbalance: “teacher-student interaction” and “learning process enjoyment” scored highest (M>4.00), while “academic pride” scored lowest (M=3.14, SD=1.03) with high dispersion. Learning Process Enjoyment” scored higher (M>4.00), while “Academic Pride” scored lowest (M=3.14, SD=1.03) with high dispersion. Learning behaviors exhibited good performance (4.85-4.90), with factor analysis extracting five core factors (including “Communication and Interaction Behaviors” and “Vocabulary and Reading Strategies”). Correlation analysis revealed a significant positive relationship between pleasurable experiences and learning behaviors (r=0.38, p<0.01), with “enjoyment of the learning process” showing the strongest correlation with “communication and interaction behaviors” (r=0.45, p<0.01). Mediation analysis indicates that academic self-efficacy partially mediates the relationship. The total effect of positive learning experiences on learning behaviors is significant (β=0.50, p<0.001), with a mediation effect value of 0.26 (accounting for 52.0% of the total effect).
Conclusion: Foreign language learning pleasant experiences among engineering university students exhibit an “overall positive yet dimensionally imbalanced” pattern, with the absence of “academic pride” being the key bottleneck constraining the conversion of pleasant experiences into learning behaviors. Pleasant experiences in foreign language learning influence learning behaviors through the mediation of academic self-efficacy, forming a coupled pathway of “pleasant experience→academic self-efficacy→learning behavior.” While direct promotion exists, indirect reinforcement via enhancing academic self-efficacy is equally crucial. Accordingly, foreign language teaching in engineering universities can enhance academic pride and learning enjoyment by strengthening teacher-student encouragement mechanisms and integrating discipline-relevant language learning scenarios. Process-based assessment can boost academic self-efficacy, thereby promoting a positive feedback loop of “enjoyable experience→psychological state→learning behavior.”
#61
Digital Economy Enabling the Optimization of the Sports Industry Innovation Ecosystem: A Psychological Mechanism Analysis Based on the S-O-R Model
Qingwei Luan
Department of Physical Education and Military Training, Zhejiang Ocean University, Zhoushan, China
Objective: Amidst the deepening integration of the digital economy with the sports industry, a critical issue remains: how to effectively leverage the enabling capacity of the digital economy to drive the sustained optimization and upgrading of the sports industry innovation ecosystem, thereby providing sustained innovative momentum for its high-quality development. Deciphering the psychological mechanisms of the actors within these innovation entities is essential to addressing this challenge.
Methods: Through literature review and logical reasoning, this study incorporates the psychological Stimulus-Organism-Response (S-O-R) model and related theories to deconstruct the psychological mechanisms underlying the behavior of innovation actors. A theoretical analytical framework is constructed to elucidate how the digital economy enables the optimization of the sports industry innovation ecosystem—by influencing changes in the psychological states of these actors, which in turn produce collective organizational effects through their behavioral responses.
Results: The S-O-R model provides a systematic analytical framework for understanding the psychological mechanisms through which digital enablement facilitates the optimization of the sports industry innovation ecosystem. The four-dimensional environmental stimuli generated by digital empowerment—namely, data flows, platform connectivity, algorithmic intelligence, and experiential interfaces—fundamentally reshape the foundational conditions for innovation within the sports industry. These stimuli exert influence by systematically reshaping the psychological states of core innovation actors (including enterprises, consumers, and practitioners) across four critical dimensions: perceived innovation opportunities, innovation self-efficacy, innovation risk perception, and collaborative innovation intention. This psychological restructuring, in turn, facilitates a fundamental transformation in the ecosystem's structural configuration, manifested in the evolution of its dominant innovation paradigms, value creation logic, and collective adaptive capacity.
Conclusion: The optimization of the sports industry innovation ecosystem through digital enablement is fundamentally contingent upon the psychological and cognitive upgrading of the human actors involved in the innovation process. Accordingly, advancing the digital transformation of the sports industry must transcend the mere acquisition of digital equipment or the construction of technological infrastructure. It must be accompanied by, if not preceded by, a deliberate focus on the “human” dimension of digital transformation—i.e., the cognitive transformation of the innovation actors themselves.
Acknowledgements: This work was supported by the Youth Fund of Humanities and Social Sciences Research, Ministry of Education of China (Grant No. 25YJC890027), and the Regular Project of Philosophy and Social Sciences Planning of Zhejiang Province (Grant No. 25NDJC060YB).
#62
The Psychological Factors of Handball Players’ Competitive Ability
Biao Ma
School of Physical Education, Huainan Normal University, Huainan, China
Objective: This study adopted a mixed-methods approach to comprehensively identify and validate key psychological factors. Quantitatively, 152 elite handball players (87 male, 65 female) from national and professional leagues completed standardized psychological assessments, including the Sport Competition Anxiety Test (SCAT), Mental Toughness Questionnaire (MTQ), Attentional Control Scale (ACS), and Collective Efficacy Inventory. Qualitatively, semi-structured interviews were conducted with 18 head coaches and veteran players to capture contextual insights into psychological demands during critical match phases (e.g., overtime, penalty situations). Observational data from 30 competitive matches were also analyzed to correlate psychological traits with on-court performance metrics (e.g., successful passes, critical defensive stops).
Methods: This study adopted a mixed-methods approach to comprehensively identify and validate key psychological factors. Quantitatively, 152 elite handball players (87 male, 65 female) from national and professional leagues completed standardized psychological assessments, including the Sport Competition Anxiety Test (SCAT), Mental Toughness Questionnaire (MTQ), Attentional Control Scale (ACS), and Collective Efficacy Inventory. Qualitatively, semi-structured interviews were conducted with 18 head coaches and veteran players to capture contextual insights into psychological demands during critical match phases (e.g., overtime, penalty situations). Observational data from 30 competitive matches were also analyzed to correlate psychological traits with on-court performance metrics (e.g., successful passes, critical defensive stops).
Results: The results identified five interrelated psychological factors as core components of handball players’ competitive ability: (1) mental toughness, characterized by perseverance and stress resistance; (2) attentional control, enabling sustained focus amid crowd noise and tactical distractions; (3) adaptive emotional regulation, minimizing the impact of anxiety and frustration; (4) collective efficacy, reflecting shared confidence in team coordination; and (5) intrinsic motivation, driving consistent effort in high-pressure scenarios. Quantitative analysis confirmed significant positive correlations between these factors and key performance indicators (r = 0.62–0.78, p < 0.01), while qualitative data emphasized their synergistic role—particularly collective efficacy in enhancing individual resilience during team-based challenges.
Conclusion: The study concludes that handball players’ competitive ability is a multidimensional construct where psychological factors serve as the “linchpin” connecting physical and technical potential to actual performance. To optimize competitive outcomes, training programs should integrate targeted psychological interventions, such as mindfulness-based attentional training, cognitive-behavioral strategies for anxiety management, and team-building exercises to strengthen collective efficacy. These findings underscore the necessity of a holistic training approach that prioritizes psychological development alongside physical and technical refinement, ultimately equipping athletes to thrive in the high-stakes environment of elite handball.
#63
Research on Improving Children’s Cognitive Psychology in Music Learning through Information Resources
Li Qing
Anyang Preschool Education College, Anyang, China
Objective: Information resources have created a favorable opportunity for the development of basic music education. This has also had a certain impact on children's various music cognitive psychological abilities, which is bound to affect the phased development of children's music cognitive psychology. The application of multimedia teaching and the development of network resources have greatly enriched children's music learning cognitive abilities. They have brought a huge impact on children's visual, perceptual, auditory, attention, and comprehension cognitive psychological abilities. Children have more ways to learn and understand music. Invisibly, various music cognitive psychological abilities have also developed to a certain extent, and the phased development may be accelerated.
Methods: A large amount of network resources also bring development opportunities to music education. The Internet is a huge library that can increase students' knowledge, enrich teaching content, broaden students' artistic aesthetic space, stimulate students' interest in learning music, and comprehensively improve students' artistic accomplishment. I have tried to use the school's network resources to establish a high-quality music website, allowing students to enjoy music freely in this large environment. In addition, I have designed a link for teachers and students to search online and exchange experiences together, cultivating students' awareness of equal participation and achieving good teaching results. It is particularly worth noting that although network resources are rich and diverse, they are inevitably mixed with good and bad. Therefore, it is necessary to cultivate children's ability to search, sort, and judge music information, allowing children to grow up in a healthy music network environment.
Results: First, whether it is Piaget's division of children's cognitive psychological stages or Zhu Zhixian's proposed characteristics of children's phased psychology, they all have a certain universality. However, these were all viewpoints proposed in their respective times. In today's highly developed information age, they undoubtedly have certain limitations. Second, one of the key factors influencing children's music learning cognitive psychology is the environmental factor. In the context of the information age, the rich information resources have brought about significant changes in the environment children are in. Information resources bring sustainable development space. Effective and reasonable utilization can promote the development of children's music learning cognitive psychology. However, network resources also bring disadvantages, mainly reflected in their rich diversity but inevitable mixture of good and bad. Children's various cognitive abilities are not yet mature, making it difficult for them to “take the essence and discard the dross.”
Conclusion: The readily available music information resources may cause children to become dependent and not actively learn and master some basic music knowledge. As a result, various music cognitive psychological abilities may not develop accordingly, possibly delaying children's music cognitive phased development. Therefore, music teachers should actively and effectively integrate various factors and utilize network resources to build a new platform for children's music learning cognitive psychology.
#64
The impact of “AIGC+e-commerce” on college students’ employment and entrepreneurship psychology
Minhui Hu
Zhejiang University of Science & Technology, Hangzhou, China
Objective: The main purpose of this study is to systematically examine the psychological changes exhibited by college students in the context of “AIGC+e-commerce”, including employment choice tendencies, entrepreneurial confidence levels, occupational anxiety levels, and their understanding of their own abilities. Through this research, we hope to provide practical basis and theoretical reference for employment guidance in universities, the formulation of relevant policies, and students' own psychological adjustment.
Methods: This study collected data through a mixed method, combining questionnaire surveys and in-depth interviews. In the questionnaire survey section, we conducted a survey among students from 15 universities across the country. A total of 1200 questionnaires were distributed, and 1108 valid questionnaires were collected, with an effective response rate of 92.3%. The measurement tool used is the self-developed “AIGC+E-commerce” Employment and Entrepreneurship Psychology Scale, which includes four parts: employment tendency, entrepreneurial intention, technology anxiety, and perceived ability gap.
Results: In terms of employment choices, over two-thirds (68.2%) of students acknowledge that this technology has brought about new types of careers. However, only about 30% (32.1%) of students have expressed a clear willingness to actively apply for these positions. In contrast, students' interest in traditional e-commerce basic positions has significantly decreased, by 41.5% compared to three years ago. Among them, over three-quarters (76.3%) of students are concerned that such positions may be replaced by artificial intelligence tools in the future. In terms of entrepreneurial mindset, nearly half (45.7%) of students believe that artificial intelligence tools can reduce the initial costs of entrepreneurship. However, among students who had originally planned to start a business, nearly one-third (31.9%) postponed their plans due to reasons such as “fear of rapid technological updates that could cause their business models to fall behind quickly” and the belief that they “do not have enough ability to proficiently use relevant tools”. In terms of psychological pressure. More than half (53.8%) of students suffer from so-called 'technology anxiety', with the vast majority (82.1%) expressing a fear of insufficient digital skills. In terms of ability recognition, the importance of “highly repetitive skills” such as basic typesetting and writing copy in a fixed format is considered to be declining; On the contrary, “human-machine collaboration ability” and “business insight” are considered particularly crucial. The recognition rates for these two abilities reached 89.2% and 91.6%, respectively.
Conclusion: The “AIGC+e-commerce” model is having a significant impact on the employment and entrepreneurial mindset of college students through technological advancements and job changes. On the one hand, this model has brought many new career directions and attracted some students to focus on work in technical interdisciplinary fields; On the other hand, technology updates quickly and industry prospects are not clear enough, which makes many students feel worried, especially those who have not yet solid knowledge foundations or have not adapted to changes. This emotion is more common. In the face of this situation, universities can focus on improving relevant course offerings, such as adding interdisciplinary courses, including practical use of generative artificial intelligence tools, analysis of typical examples of human-machine collaboration, etc., in order to strengthen the teaching of the combination of “intelligent technology and e-commerce”.
#65
A Quantitative Study on the Psychological Influencing Factors and Practical Paths of Engineering University Students' Willingness to Participate in Academic Competitions
Jialin Zhu1, Xiao Jin2, Bo Liu2
1Dean's Office of Southwest Petroleum University,Chengdu, China
2School of Economics and Management, Southwest Petroleum University, Chengdu, China
Objective: Amid the deepening reform of higher education and innovative country construction, academic competitions are core carriers linking engineering theory, practice and talent cultivation. However, engineering students'participation willingness is highly differentiated, with less than 20% active participation. Most hold utilitarian or evasive attitudes, restricting educational value. Existing studies lack systematic analysis of micro psychological mechanisms.This study clarifies core influencing factors and mechanisms to provide theoretical support for universities.
Methods: A total of 901 undergraduate students from engineering universities were selected as research subjects, and divided into a participant group (N=304) and a non-participant group (N=597) based on their previous experience of substantial participation in academic competitions. The sample covers multiple majors and all grades,with a balanced distribution. A combination of core scales was adopted for evaluation: first, the self-designed Psychological Influencing Factors Scale for Engineering Students' Participation in Academic Competitions (including dimensions of internal motivation, internal barriers,and perceived external support); second, a mature Willingness to Participate Scale, both using a 5-point Likert scale.The questionnaire was revised after a pre-survey, and the Cronbach's α coefficient of the scales was greater than 0.8, indicating good reliability and validity. Data were collected through online surveys. SPSS was used for descriptive statistics, correlation analysis,and binary regression analysis, and the PROCESS macro was employed to verify the mediating and moderating effects.
Results: Overall, 39.18% intended to participate and 50% had strong preparation willingness. Internal motivation (self-improvement satisfaction M=3.88, achievement M=3.77) was positive; main barriers were fear of failure (M=3.30) and lack of confidence (M=3.40). External perceptions were high (family support M=4.06, competition value M=3.94) except peer team convenience (M=3.30). Regression showed internal motivation positively (β>0.3, p<0.001) and barriers negatively (β<-0.25, p<0.001) predicted willingness; external support also promoted it (β>0.2, p<0.001). PROCESS (5000 Bootstrap samples) confirmed partial mediation (effect=0.23, 46% of total effect). Moderation effects: β=0.18 (experience, p<0.01), β=0.15 (major, p<0.05).
Conclusion: Engineering students' willingness to participate in academic competitions is jointly influenced by internal psychological factors and external psychological perceptions, with internal psychological factors playing a mediating role. Internal motivational factors are the core driving force, and internal barriers are the main obstacles. External support and policy incentives indirectly enhance participation willingness by strengthening internal motivation and alleviating internal barriers. Previous competition experience and major category moderate the above relationships. This suggests that universities need to balance the stimulation of internal psychology and the optimization of external support, and accurately improve engineering students' willingness to participate in competitions and their experience through personalized guidance, improvement of support systems, and creation of a favorable atmosphere.
#66
Demand Forecasting and Psychological Needs Matching in Elderly Care Service Supply Chains Based on Big Data
Changhao Su1, Yu Zeng2, Fei Sun1
1School of Political Science and Administration, Tianjin Normal University, Tianjin, China
2Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Objective: This study aims to explore how big data analytics can enhance demand forecasting in elderly care service supply chains and improve the alignment between service offerings and the psychological needs of the elderly. As aging accelerates globally, traditional forecasting models are increasingly inadequate in capturing the complex, dynamic, and emotional demands of elderly populations. This research seeks to bridge the gap by integrating psychological profiling into supply chain management for elderly care services.
Methods: The study employed a combination of big data mining techniques and psychological needs assessment models. Data were collected from service usage records, health monitoring systems, and psychological survey results of elderly individuals across multiple elderly care institutions. Predictive modeling techniques, including random forest regression and time-series forecasting, were used for demand prediction. Psychological need profiles were constructed using validated scales based on Maslow’s hierarchy of needs and socioemotional selectivity theory. A matching algorithm was then developed to recommend personalized service packages.
Results: The big data-driven models achieved a 15–20% improvement in demand forecasting accuracy compared to traditional statistical methods. Psychological needs matching significantly enhanced service satisfaction rates by 27%, particularly in areas related to social connectedness, emotional support, and autonomy. Furthermore, segmentation based on psychological profiles revealed that elderly individuals with higher needs for emotional security showed greater sensitivity to service personalization, demonstrating the critical importance of integrating psychological insights into elderly care service design.
Conclusion: Incorporating psychological need assessment into big data-based demand forecasting provides a more comprehensive and human-centered approach to elderly care service supply chains. By dynamically matching supply with both functional and emotional needs, service providers can enhance user satisfaction, optimize resource allocation, and build more resilient and responsive elderly care systems. Future work should explore real-time psychological feedback loops and expand the application to smart community care platforms.
#67
Exploring the Scenario Mechanisms and Optimization Paths of How Digital Technology Influences Youth Volunteer Motivation from a Psychological Perspective*
Jiating Chen
Liaoning Normal University, Liaoning Dalian, China
Objective: As the core technology of the new round of technological revolution, digital technology is driving the transformation of youth volunteer services from traditional offline models to diverse “online&offline” scenarios. The essence of its impact on young people’s motivation to participate in volunteer services lies in the interaction between technical scenarios and psychological needs. Supported by self-determination theory, social identity theory, cognitive dissonance theory, and other related psychological theories, this study focuses on the application of digital technology in core scenarios such as information acquisition, interactive assistance, and value realization. It deeply analyzes the transformation logic and psychological transmission mechanism from “instrumental embedding” to “motivational driving” when digital technology acts on young people’s motivation for volunteer services.
Methods: A qualitative research method was adopted, with the youth group defined in accordance with the Medium and Long-Term Youth Development Plan (2016-2025). Twenty young volunteers aged 14-35 were selected via snowball sampling for in-depth interviews. Grounded theory was used to process and analyze the data, focusing on capturing psychological experiences and dynamic changes in motivation related to the use of digital technology.
Results: The results show that digital technology activates young people’s motivation for volunteer services through three positive psychological paths: convenient participation paths align with the principle of least effort in cognitive psychology, reducing participation-related cognitive load while meeting the autonomy needs in self-determination theory; visualized value feedback strengthens self-efficacy in social cognitive theory through the positive reinforcement effect in behavioral psychology; and community emotional connection constructs group identity based on social identity theory and forms secure emotional support grounded in attachment theory. Meanwhile, it undermines motivation through three negative psychological mechanisms: inflated technological instrumental rationality triggers cognitive dissonance, which, combined with security anxiety, weakens internal motivation; inadequate technical adaptability leads to learned helplessness in behavioral psychology, and coupled with cognitive interference, reduces participation willingness; fragmented emotional experiences weaken empathy in social psychology and break emotional connections, thereby undermining sustained participation motivation.
Conclusion: Based on the aforementioned psychological mechanisms, this study proposes targeted paths from three aspects: optimizing technological applications to adapt to psychological needs, upgrading project operations to strengthen positive psychological effects, and improving institutional guarantees to prevent infringements on psychological rights and interests, so as to build an adaptive bridge between technical scenarios and young people’s psychological needs. This study not only expands the application boundary of psychological theories in the field of digital public welfare but also provides a theoretical basis and practical guidance for optimizing the design of digital volunteer service platforms and accurately stimulating young people’s sustained participation motivation.
#68
Imitation Feedback and Social Recognition in Short-Form Dance and Their Psychological Influence on Body Image and Self-Identity
Yifan Chen
School of Dance, Minzu University of China, Beijing, China
Objective: Conduct in-depth theory synthesis and criticism on this topic: how to challenge users' body image perception and their identity through an embedded imitative-feedback-recognition loop formed by short-form video dance? Based on the widespread phenomenon of platforms such as TikTok, Instagram Reels, and Douyin, this study explores the psychological mechanism by which the iterative cycle of dance imitations, immediate public postings, and social feedback reception forms how people perceive their own bodies and create a sense of self-building. Short-form dance presents as a form of short-time activity with relatively simple operation standards but high social impact; thus, it can be considered to have its own structure and context in which people need to negotiate their physical image or sense of self-identity under this new setting, with broader implications for mental health outcomes among adolescents and young adults.
Methods: Systematic Narrative Literature Review (SNLR): Synthesizing empirical studies, theoretical frameworks, and conceptual contributions from papers published in the period of 2020-2025. PubMed, Scopus, Google Scholar, and PsycINFO electronic databases were searched with the keywords related to short-form video dancing, TikTok dance challenges, body image, self-concept, social comparison, imitation behavior, social recognition, and algorithmic curation. Forty peer-reviewed papers were ultimately selected for examination; these papers primarily focused on adolescents and young adults as the subjects of research. Organized according to the following five theoretical bases: Social Cognitive Theory, Social Comparison Theory, Self-determination Theory, Uses and Gratifications Theory, and the Algorithmized Self frameworks, help illuminate different aspects of the imitation-feedback loop and related psychology.
Results: It shows that the generation of short-form dance platforms functions as an algorithmic environment for compressing dance into repetitive, standardized templates that aim to maximize imitation and participation. According to the number of likes, comments, and shares, social recognition is an immediate positive reinforcement for activating brains' pleasure centers; it can help meet essential emotions such as a sense of competence and connection. Critically, in terms of the feedback loop that affects body image, upward appearance comparison caused by idealized dance bodies systemically reduced body satisfaction; exposure to diverse body representations in challenging formats produced a counter-protective effect. Regarding self-image, most studies have shown that creating and uploading dance content, along with receiving and responding to public opinions about these works, can start a loop of revision in users' perceptions of themselves; The algorithmized personalization present in these platforms also regulates the content presented to users and their evaluation of self-reflection through a form of mediated identity construction.
Conclusion: Short-form video dance challenges serve as an important platform for the negotiation of body image and self-identity within cultural significance at present. The imitation-feedback loop integrates social identity into the basic grammar of digital dancing participation to have various effects on mental health based on an individual's vulnerability, the kind of content, and the way they participate. These findings suggest that there is a necessity for media literacy projects and intervention in the design of platforms to promote changes in the embodied sense of self and digital identification among participants.
#69
Analyzing Tourism Investment Preferences and Psychological Biases from a Behavioral Finance Perspective
Yufeng Xiao1, Shuqing Xiao2
1Institute for Advanced Studies, Universiti Malaya Kuala Lumpur, Kuala Lumpur, Malaysia
2School of Tourism Management, Shandong Youth University, Jinan, China
Objective: This study aims to examine the investment preferences and psychological biases that influence decision-making in tourism investments. By applying principles from behavioral finance, the research seeks to identify key factors driving investment behaviors and understand how cognitive and emotional biases impact tourism investment choices.
Methods: This study combines quantitative data from investor surveys with qualitative interviews to analyze psychological biases, such as overconfidence, loss aversion, and herding behavior, among tourism investors. Statistical tools, including regression analysis and structural equation modeling, were applied to assess the correlation between psychological biases and investment outcomes. Additionally, case studies of recent tourism investment projects were reviewed to illustrate the real-world impact of these biases on financial performance.
Results: Findings indicate that tourism investors exhibit several psychological biases that shape their investment decisions. Overconfidence and optimism bias often lead to higher risk-taking in tourism investments, while loss aversion contributes to a reluctance to divest underperforming assets. Herding behavior was also observed, with investors showing a tendency to follow market trends in the tourism sector, sometimes leading to suboptimal investment decisions. These biases collectively impact portfolio diversification and financial returns within the tourism industry.
Conclusion: The study reveals that psychological biases play a significant role in shaping tourism investment preferences and outcomes. Recognizing these biases can help investors make more rational decisions and improve their investment strategies. For future research, a deeper exploration of behavioral finance frameworks in various tourism sectors could provide further insights into optimizing investment practices. Additionally, educational programs and tools to mitigate cognitive biases may enhance investor decision-making and promote more sustainable tourism investments.
#70
A Study on Spiritual and Aesthetic Experience in Yoga Practice and Its Psychological Healing Function
Hongyan Liu1,2, Yanping Lu2, Fang Zheng2,3, Peilong Xu2,4
1Department of Physical Education, Hebei Academy of Fine Arts, Shijiazhuang, China
2Department of Industrial Design, Pukyong National University, Busan, Republic of Korea
3Department of Art Design, Tianjin University of Commerce Boustead College, Tianjin, China
4Analysis and Testing Center, Qingdao University, Qingdao, China
Objective: This study aims to explore the main forms of spiritual experience during yoga practice and analyze their psychological healing functions in emotional regulation, stress relief, and mental health promotion, so as to provide a theoretical basis for the application of yoga in psychological healing and holistic health intervention.
Methods: This study adopted a combination of literature review, questionnaire survey, and interview methods. Participants with certain yoga practice experience were selected as the research subjects. The investigation focused on their experiences of concentration, inner calmness, self-awareness, emotional release, and mind–body coordination during yoga practice. In addition, relevant theories of mental health were used to systematically examine the relationship between spiritual experience in yoga practice and its psychological healing function.
Results: The findings showed that yoga practice can significantly enhance practitioners’ internal concentration and self-awareness, improve positive emotional experiences, and relieve anxiety, tension, and stress. With long-term and continuous practice, participants generally demonstrated stronger emotional regulation ability, greater psychological stability, and a higher sense of mind–body unity. As an important psychological perception in yoga practice, spiritual experience not only strengthened individuals’ awareness of their emotional and physical states, but also promoted psychological recovery and self-integration to a certain extent, reflecting a notable psychological healing effect.
Conclusion: Spiritual experience in yoga practice is an important mediating factor linking physical activity and mental health. It plays a positive role in improving psychological adjustment ability, alleviating negative emotions, and promoting psychological healing. Greater attention should be paid to the practical value of yoga in mental health education, emotional management, and mind–body rehabilitation. Future studies may further explore more scientific and diversified yoga intervention models for different populations.
#71
Modeling and Optimization Algorithm for the Coupling System of Corporate ESG Performance and Capital Structure Considering Psychological Expectation Disturbances
Mengsha Zheng, Anqi Wang, Hanqing Zhang
Business School, Hunan International Economics University, Changsha, China
Objective: ESG performance has emerged as a key indicator of corporate sustainability, while capital structure optimization lies at the core of financial decision-making. Traditional research, largely based on the rational agent hypothesis, has often overlooked the impact of psychological expectation disturbances on system evolution. As a result, it struggles to explain the nonlinear characteristics of corporate investment and financing behaviors under fluctuating market sentiment.
Methods: This paper introduces psychological expectation disturbances as exogenous stochastic variables to construct a nonlinear coupled dynamic model of ESG performance and capital structure. A hybrid genetic algorithm and particle swarm optimization strategy are employed to solve the system's equilibrium path under disturbance, and the stability of the algorithm is validated through Monte Carlo simulations.
Results: Simulation results show that when the intensity of psychological expectation fluctuations (σ) increases from 0.1 to 0.5, the firm's optimal debt ratio deviates from the benchmark value by approximately 8.3% to 15.7%. An appropriate improvement in the ESG rating can reduce the weighted average cost of capital by about 2.4% and shorten the system's time to restore equilibrium by 37%. When the disturbance intensity exceeds the critical value of σ=0.32, the coupled system exhibits bifurcation, and its stability decreases significantly.
Conclusion: The coupled model incorporating psychological expectation disturbances can more accurately characterize the dynamic interplay between corporate financial behavior and social responsibility actions. It is recommended that companies integrate expectation management into their ESG strategic framework to mitigate irrational fluctuations through information disclosure and investor communication. The research findings provide theoretical support and practical references for optimizing capital allocation and improving the green finance evaluation system.
#72
A Psychological Trust Perspective on Data Trust Mechanism and Behavioral Traceability in Supply Chain with Integrated Blockchain and Edge Computing
Feifei Wang1, Jia LI2, Zhiqiang Chen1, Guofeng Qiu1, Dongyu Wang2
1Southern Power Grid Supply Chain Group Co. Ltd, Guangzhou, China
2China Electricity Council Electric Power Construction Technical and Economic Consulting Center, Beijing, China
Objective: This study develops a data trust mechanism for supply chains using blockchain and edge computing architecture through the lens of psychological trust theory. Introducing a psychological contract framework, we design a “cognitive-affective-behavioral” trust architecture and establish a psychological trust assessment model for supply chain nodes.
Methods: The research implements an improved behavioral consensus algorithm for node trust management, constructs a multidimensional credit evaluation system incorporating psychometric methods, and designs data protection mechanisms based on security psychology principles.
Results: Empirical results demonstrate that this approach increases inter-organizational trust by 60%, achieves 99.3% behavioral traceability accuracy, and reduces trust assessment costs by 40%. The study provides new theoretical insights and methodological support for building psychological trust and behavioral traceability in supply chain collaboration. The research integrates organizational psychology and behavioral economics, examining how digital technologies can strengthen inter-organizational trust. Traditional supply chain trust relies heavily on long-term relationships and reputation building - a process that is both time-consuming and difficult to quantify. By combining blockchain's immutable distributed ledger with edge computing's real-time processing capabilities, we create a measurable and verifiable trust transmission mechanism. Our behavioral consensus algorithm incorporates node participants’ behavioral characteristics, making trust assessments more aligned with actual behavioural patterns. Methodologically, we innovatively apply psychological measurement scales to supply chain node evaluation. Specialized psychological questionnaires are combined with blockchain-recorded behavioral data to form a comprehensive assessment system. The data protection mechanism incorporates psychological security principles while maintaining user experience quality. The entire research process adheres to experimental psychology standards, ensuring scientific validity and reliability.
Conclusion: Empirical evidence from over 100 enterprises shows significant improvements in order fulfillment rates and cooperation satisfaction, alongside substantial reduction in disputes. These findings empirically validate the importance of psychological trust factors in supply chain management while demonstrating the feasibility of technology-enhanced trust building.
#73
Immersive VR System for Psychological Intervention in Radiotherapy: Optimization of Synchronization Accuracy and Latency in Multimodal Biofeedback
Junqing Li1,2
1School of Psychology, Fujian Normal University, Fuzhou, China
2School of Law and Intellectual Property, Fujian University of Technology, Fuzhou, China
Objective: Radiotherapy often induces substantial psychological stress and anxiety in patients, negatively impacting treatment adherence and overall well-being. This study aimed to develop an immersive virtual reality (VR) system incorporating multimodal biofeedback for psychological intervention during radiotherapy, and to systematically investigate the synchronization accuracy and latency of physiological signal integration to enhance the efficacy of anxiety reduction and emotional regulation.
Methods: We designed a VR-based intervention platform integrating real-time physiological signals, including heart rate variability (HRV), galvanic skin response (GSR), and respiration patterns. Advanced algorithms were employed to optimize the temporal synchronization of multimodal biofeedback streams, minimizing latency while preserving signal fidelity. A cohort of radiotherapy patients participated in controlled VR sessions, during which psychological parameters (anxiety and stress levels) were assessed using validated scales, alongside objective physiological monitoring. Synchronization precision and system latency were quantitatively analyzed to evaluate performance.
Results: The optimized VR system achieved high temporal coherence across multimodal signals, with average latency reduced to below 50 ms and synchronization errors under 5 ms. Patients exposed to the VR intervention exhibited significant reductions in self-reported anxiety and perceived stress (p < 0.01) compared with baseline measures. Correlation analysis demonstrated that improvements in physiological synchrony were associated with greater psychological benefits, indicating that precise multimodal feedback enhances emotional regulation and patient comfort during radiotherapy.
Conclusion: This study demonstrates that an immersive VR system with finely optimized multimodal biofeedback can effectively alleviate psychological distress in radiotherapy patients. The findings underscore the importance of synchronization accuracy and minimal latency in biofeedback-driven interventions, providing a promising approach for integrating psychological support into oncological treatment protocols. Future work should explore long-term efficacy and personalization of VR-based interventions to maximize mental health outcomes.
#74
Under the background of intelligent finance and taxation, the training mode and psychological construction reform of finance and taxation professionals in higher vocational colleges are reformed
Wenting Hu
Jiangsu College of Tourism, School of Management and Economics, Jiangsu, China
Objective: Against the backdrop of rapid development of intelligent finance and taxation, students majoring in finance and taxation in vocational colleges are facing unprecedented psychological pressure and confusion. Firstly, the accelerated pace of technological updates has caused widespread anxiety among students. With the widespread application of new technologies such as artificial intelligence and big data, the traditional financial and tax work model has undergone profound changes. This not only requires students to master solid professional knowledge, but also to have strong technical adaptability.
Methods: To scientifically verify the effectiveness of the talent cultivation model and psychological construction reform in higher vocational finance and taxation majors under the background of intelligent finance and taxation, this study adopts a combination of quantitative and qualitative empirical research methods. In terms of data collection, relevant data is mainly obtained through questionnaire surveys, interviews, and the school's internal teaching management platform.
Results: Based on empirical research and data analysis, the reform of talent cultivation mode and psychological construction in higher vocational finance and taxation majors under the background of intelligent finance and taxation has had a significant positive impact on students' employment competitiveness and professional development. Firstly, in terms of employment competitiveness, the reformed curriculum system places more emphasis on the combination of new technology and practical operation, which significantly improves students' skills in data analysis, intelligent financial tool application, and other areas. At the same time, the promotion of psychological construction reform effectively alleviates students' anxiety about technological updates and employment competition, enhances their professional identity and psychological resilience.
Conclusion: The talent cultivation mode and psychological construction reform of higher vocational finance and taxation majors still need to be further optimized and improved in multiple aspects. In terms of optimizing the curriculum system, we should further strengthen our sensitivity to emerging technologies, timely integrate knowledge from cutting-edge fields such as artificial intelligence and big data analysis into the curriculum content, in order to maintain synchronization with industry needs. Finally, in terms of psychological construction, we should continue to pay attention to the sources of psychological pressure for students in the process of intelligent transformation and continuously improve the mental health support system.
#75
Research on Dynamic Compensation Strategies for Manufacturing Errors in Mechanical Mechanisms Guided by Operator Psychological Expectation
Rongjian Tai1, Fengkun Li1, Hepeng Jia1, Chao Guo2
1College of Energy and Mechanical Engineering, Dezhou University, Dezhou, China
2College of Mathematics and Big Data, Dezhou University, Dezhou, China
Objective: Manufacturing errors in precision mechanical mechanisms often arise not only from machining tolerances and environmental disturbances but also from operator-related cognitive and behavioral factors. In high-precision manufacturing environments, operators’ psychological expectations, stress levels, and cognitive workload may influence operational accuracy and decision-making processes. This study aims to develop a dynamic compensation strategy for mechanical manufacturing errors guided by operator psychological expectations, while also exploring the interaction between operator psychological states, human–machine interaction efficiency, and mechanical error control.
Methods: A multidisciplinary framework integrating mechanical error modeling, human–machine interaction analysis, and psychological state assessment was established. First, a manufacturing error propagation model for mechanical mechanisms was constructed using kinematic error theory and statistical tolerance analysis. Second, operator psychological expectation was quantified through behavioral response indicators, cognitive workload assessment, and stress-related psychological health metrics. A data-driven dynamic compensation model was then developed using machine learning algorithms to integrate real-time sensor data with operator behavioral parameters. The proposed strategy dynamically adjusted compensation parameters in the control system to mitigate manufacturing deviations during operation.
Results: Experimental validation conducted on a precision mechanical assembly platform demonstrated that the proposed operator-guided compensation strategy significantly reduced cumulative manufacturing errors compared with conventional static compensation methods. The adaptive model improved positioning accuracy and stability under varying operational conditions. Furthermore, incorporating psychological expectation indicators reduced operator cognitive stress and enhanced human–machine coordination efficiency, leading to improved operational consistency and reduced error amplification caused by decision fatigue or misjudgment.
Conclusion: The results indicate that integrating operator psychological expectation and mental health considerations into mechanical error compensation strategies can significantly enhance manufacturing precision and system robustness. The proposed dynamic compensation framework provides a novel interdisciplinary approach that bridges mechanical engineering, human factors, and psychological health research. This strategy not only improves error control in mechanical manufacturing systems but also promotes healthier operator engagement and more sustainable human–machine collaboration in intelligent manufacturing environments.
#76
Psychological and Mental Health Determinants of Defendants’ Guilty Pleas and the Corresponding Legal Responses
Ye Liu
Police Officer Academy, Shandong University of Political Science and Law, Jinan, China
Objective: This study aims to investigate the psychological and mental health–related motivations underlying defendants’ decisions to plead guilty and accept punishment in criminal proceedings, and to examine how the legal system should respond to these motivations in a manner that protects both procedural justice and defendants’ psychological well-being. By incorporating concepts from mental health science, clinical psychology, and behavioral law, the research seeks to develop a psychologically informed legal framework that accounts for stress-related vulnerability, emotional regulation, and cognitive capacity in plea decision-making.
Methods: An interdisciplinary research design is adopted, integrating doctrinal legal analysis, empirical case review, and theoretical models from mental health psychology. Judicial cases, sentencing data, and policy texts are analyzed to identify patterns in plea behavior associated with psychological stress, anxiety, depression, and trauma exposure. Psychological constructs such as decision-making under stress, learned helplessness, authority-induced compliance, and mental health risk factors are applied to assess defendants’ cognitive clarity and emotional stability at the time of plea. Comparative analysis of mental health–oriented safeguards in different legal systems is also conducted.
Results: The results demonstrate that defendants’ plea decisions are frequently shaped by acute psychological distress and underlying mental health conditions. Elevated levels of anxiety, depressive symptoms, fear of uncertainty, and perceived loss of control significantly increase the likelihood of guilty pleas, even in cases where evidentiary strength is ambiguous. Defendants with untreated or unrecognized mental health disorders exhibit reduced capacity for rational cost–benefit evaluation and heightened susceptibility to coercive situational pressures. Existing legal procedures tend to prioritize formal consent and efficiency while insufficiently addressing mental health vulnerability, increasing the risk of involuntary or psychologically compelled pleas.
Conclusion: The study concludes that legal responses to guilty pleas and punishment acceptance must explicitly integrate mental health considerations into procedural design and judicial review. Implementing early psychological screening, mandatory mental health evaluations for vulnerable defendants, and enhanced judicial inquiry into emotional and cognitive competence can improve the authenticity of plea voluntariness. A mental health–informed plea system would not only protect defendants’ rights and psychological integrity but also enhance the substantive fairness and long-term legitimacy of criminal justice outcomes.
#77
The Mental Health Problems of Higher Vocational Students in Higher Vocational Colleges from the Perspective of Social Psychology: Multi-dimensional Analysis and Collaborative Intervention
Juan Du, Hua Jin, Zhiwei Tang
Hunan Biological and Electromechanical Polytechnic, Changsha, China
Objective: From the perspective of social psychology, this study integrates the vocational orientation and school-enterprise cooperation characteristics inherent in higher vocational education. It closely examines the complexity and particularity of mental health challenges faced by vocational students in the new era, taking into account shifting social expectations, evolving employment pressures, and the unique educational environment they navigate. Through a multidimensional lens, the research systematically analyzes the root causes of these issues—including individual psychological factors, family dynamics, institutional educational approaches, broader societal influences, and the growing impact of digital environments. On this basis, it constructs a comprehensive collaborative intervention system that spans five key dimensions: individual, family, campus, society, and digital spaces. This integrated framework is designed to facilitate coordinated support mechanisms, promote resilience, and foster a more nurturing ecosystem for mental well-being. Ultimately, the study aims to provide both theoretical insights and practical strategies for enhancing the mental health of vocational students and advancing the effectiveness of mental health education in vocational institutions.
Methods: Literature review and interdisciplinary research were used to review the literature of social psychology and education, and to clarify the current research status. The empirical data of psychological characteristics of vocational college students, campus environment, family influence and digital challenges were integrated. Social support theory and ecosystem theory were combined to construct a systematic analysis and intervention model.
Results: The mental health problems of higher vocational students are complex, hidden and time-specific, which are manifested as emotional disorders, interpersonal communication troubles and self-cognition deviation. The causes involve the lack of individual psychological regulation, improper family upbringing, weak campus support, social prejudice and employment pressure, and the negative influence of digital network, and the interaction of these factors aggravates the complexity of the problems.
Conclusion: A multi-stakeholder collaborative approach is essential to address mental health challenges among vocational college students. Key measures include enhancing individual psychological literacy, optimizing family support systems, improving campus mental health education and crisis intervention programs, fostering an inclusive social environment, leveraging digital empowerment tools, and establishing a comprehensive collaborative intervention framework. These efforts will not only improve the mental well-being of vocational students but also lay a solid psychological foundation for cultivating high-quality technical and skilled professionals.
Acknowledgments: Project approved in the fourth phase of the Ministry of Education's Supply-Demand Coordination Employment Education Program: National Ordinary College Graduates Employment Entrepreneurship Guidance Committee 2025070852055 (“Jinjian Seeds Future Agri-Masters” Growth Base).
#78
Investor Sentiment, FinTech Development, and Bank Valuation: Evidence from China
Yihang Zeng
Nottingham University Business School, University of Nottingham Malaysia, Semenyih, Selangor, Malaysia
Objective: This study investigates the interplay between investor sentiment, financial technology (FinTech) development, and bank market valuation in China, with a particular focus on the psychological dimensions underlying financial decision-making. While prior literature has examined the independent effects of sentiment and FinTech on financial markets, limited attention has been given to their joint impact on bank valuation and the role of investors’ psychological well-being. This paper aims to fill this gap by exploring how sentiment-driven behaviors, potentially linked to psychological health conditions such as anxiety and overconfidence, interact with FinTech innovation to shape bank valuation in an emerging market context.
Methods: Using a panel dataset of Chinese listed banks from 2010 to 2024, this study employs a multi-factor empirical framework integrating sentiment indices, FinTech development indicators (e.g., digital finance index, mobile payment penetration), and bank-level financial variables. Investor sentiment is proxied through a composite index constructed from market-based indicators and textual analysis of financial news. Fixed-effects and dynamic panel models (GMM) are applied to address endogeneity concerns. Additionally, interaction terms are introduced to examine the moderating effect of FinTech on the relationship between sentiment and bank valuation. To incorporate psychological health dimensions, this study further utilizes proxy variables such as market volatility sensitivity and sentiment dispersion to capture behavioral biases associated with mental stress and emotional instability.
Results: The findings reveal that investor sentiment significantly influences bank market valuation in China, with optimistic sentiment leading to overvaluation and pessimistic sentiment contributing to undervaluation. FinTech development exhibits a dual effect: it enhances valuation by improving operational efficiency and information transparency, while also amplifying sentiment-driven fluctuations due to faster information diffusion and increased retail investor participation. Importantly, the interaction analysis shows that FinTech intensifies the impact of sentiment on bank valuation, particularly during periods of heightened market uncertainty. Moreover, psychological factors—reflected in sentiment volatility and dispersion—are found to exacerbate market mispricing, suggesting that investors’ mental states play a non-negligible role in financial market dynamics.
Conclusion: This study highlights the critical role of investor sentiment and psychological health in shaping bank valuation within the context of rapid FinTech development in China. The results suggest that while FinTech contributes to financial innovation and efficiency, it may also magnify behavioral biases and emotional trading, leading to greater valuation volatility. These findings provide important implications for regulators and policymakers in designing frameworks that balance technological advancement with investor protection. Enhancing financial literacy and promoting mental well-being among investors may help mitigate irrational market behaviors and foster more stable financial systems.
#79
Research on the influence mechanism of emotional expression of tourism new media content on potential tourists travel intention
Cheng Yan
Wuhan Business University, Wuhan, China
Objective: With the rapid development of Internet technology and new media, profound changes have taken place in the way information is generated and transmitted, which has had a profound impact on the behavior of tourists. In the new media environment, the emotional expression of tourism related content has become an important basis for potential tourists to obtain information and form tourism decisions.
Methods: This study will use empirical analysis methods to quantitatively analyze the emotional characteristics of user generated content on new media platforms, and combine questionnaire survey data to explore the specific pathways through which emotional expression affects potential tourists' psychological perception and attitude changes. In addition, this study will further analyze the differences in emotional expression and communication among different new media platforms, in order to provide more targeted marketing strategy recommendations for the tourism industry.
Results: Based on the results of data analysis, the impact mechanism of emotional expression in new media content on potential tourists' travel intentions can be deeply analyzed from two dimensions: psychological perception and attitude change. At the psychological perception level, emotional expression significantly affects users' impulsive travel intentions by evoking a sense of presence experience. According to relevant research, travel sharing information on social media can enhance users' sense of coexistence, communication, and emotional presence through vivid presentation. These perceptions further stimulate users' flow experience and arousal state, thereby promoting impulsive travel decision-making.
Conclusion: This study uses empirical analysis methods to explore in depth the impact mechanism of emotional expression in tourism new media content on potential tourists' travel intentions. Research has found that the emotional expression of new media content significantly affects the travel intention of potential tourists. Positive emotional expression can significantly enhance the travel intention of potential tourists, while negative emotional expression may reduce their travel intention. In addition, different new media platforms show significant differences in the impact of emotional expression on travel intentions due to differences in user groups, content forms, and dissemination characteristics. These research results provide important insights for the creation of new media content and optimization of marketing strategies in the tourism industry.
#80
Research on the Influence of Tourism Management Teaching on Students’ Psychological Resilience from the Perspective of Industry-Education Integration
Fangzhou Fan
Shangqiu Polytechnic, Shangqiu, China
Objective: This study aims to explore in depth the impact mechanism of tourism management teaching on students' psychological resilience from the perspective of industry education integration, and provide theoretical basis and empirical support for optimizing teaching practice and enhancing students' psychological resilience. Specifically, this study will start with the teaching model of integrating industry and education, analyze its practical contributions to enterprise mentor guidance, student innovation ability cultivation, and further explore how these factors affect students' psychological resilience construction.
Methods: This study selects students majoring in tourism management who participate in industry education integration teaching as research objects, mainly based on the following reasons and basis. Firstly, the practical teaching of tourism management is closely linked to industry demand. Students face diverse work scenarios and challenges in internships and practical activities under the background of industry education integration. These experiences have a significant impact on shaping their psychological resilience, This study used questionnaire survey method to collect data and combined it with tools such as psychological resilience assessment scale for measurement, to ensure the feasibility and scientificity of empirical research.
Results: The impact mechanism of tourism management teaching on students' psychological resilience from the perspective of industry education integration is mainly reflected in practical teaching, guidance from enterprise mentors, and school support systems. Firstly, practical teaching, as the core link of industry education integration, significantly enhances students' psychological resilience by providing real work scenarios and task challenges. Secondly, the professional guidance of enterprise mentors plays an important role in shaping students' psychological resilience. Corporate mentors not only impart vocational skills, but also help students establish positive career cognition and self-efficacy by sharing personal growth experiences and career development insights, thereby enhancing their psychological resilience.
Conclusion: This study explores the impact of tourism management teaching on students' psychological resilience from the perspective of industry education integration through empirical analysis. The results show that the industry education integration teaching model has a significant effect on improving students' psychological resilience. Specifically, deep participation in practical teaching and effective guidance from corporate mentors can significantly enhance students' psychological resilience, especially in coping with stress, adapting to environmental changes, and solving complex problems.
#81
Analysis of Corporate Market Competitiveness and Brand-Building Strategies Based on Psychology and Mental Health
Xiaodong Yang1,2, Qirong Ding2
1School of Mechanical and Vehicle Engineering, Bengbu University, Bengbu, China
2Department of Businese Administration, Sehan University, Mokpo, Korea
Objective: This study aims to explore how psychological principles and mental health awareness influence corporate market competitiveness and brand-building strategies. The research focuses on understanding how companies that integrate psychological insights—especially those addressing employees’ and consumers’ mental well-being—can enhance brand loyalty, innovation capacity, and long-term competitiveness.
Methods: A mixed-methods approach was applied, combining quantitative analysis of corporate performance data with qualitative interviews and psychological assessments. The study examined 50 companies across different industries that have implemented mental health programs or psychology-based marketing strategies. Data were analyzed through structural equation modeling to identify relationships between psychological well-being, employee engagement, consumer perception, and brand equity.
Results: The findings indicate a significant positive correlation between corporate attention to mental health and overall market competitiveness. Companies emphasizing psychological safety and mental health support demonstrated higher employee productivity, stronger customer trust, and improved brand image. Moreover, psychology-driven marketing strategies effectively increased emotional resonance with target audiences, fostering deeper brand attachment.
Conclusion: Integrating psychology and mental health considerations into corporate strategy is a key driver of sustainable competitiveness and brand development. Organizations that promote mental well-being internally and externally not only enhance their market performance but also build socially responsible and resilient brands. Future corporate strategies should therefore treat mental health as a core component of organizational and marketing innovation.
#82
Cognitive Bias and Behavioral Decision-Making in Job-Hunting Fraud: A Study on the Psychological Mechanisms of Victimization and Intervention Paths Among Chinese University Graduates
Yiyu Chen1, Lan Qiu2
1Department of Admissions and Employment, Southwest Petroleum University, Chengdu, China’
2School of Economics and Management, Southwest Petroleum University, Chengdu, China
Objective: With the continuous rise in employment pressure among university graduates, job-hunting fraud occurs frequently and causes substantial harm. Cognitive bias and behavioral decision-making constitute the core psychological mechanisms for understanding fraud victimization in job hunting, yet their functional pathways and group differences still require support from large-sample empirical evidence. This study aims to reveal the influence of cognitive bias on graduates’ victimization by job-hunting fraud and verify the mediating effect of irrational behavioral decision-making, so as to provide a basis for anti-fraud intervention.
Methods: A total of 2,243 university graduates across China were selected as research participants. A self-developed questionnaire on employment fraud was adopted, covering cognitive bias (risk knowledge and risk perception), behavioral decision-making, fraud victimization, and demographic variables. All scales had a Cronbach's α > 0.80 to ensure good reliability and validity. SPSS 26.0 was used for descriptive statistics and difference tests, and the Bootstrap method was adopted to test the mediating effect of irrational behavioral decision-making.
Results: Descriptive statistics show that deceptive contracts (50.87%) are the predominant type of fraud. Fraudulent information mainly originates from official commercial recruitment websites (65.32%), with incidents concentrated in the interview and employment offer stages (58.38%). Correlation and regression analyses indicate that cognitive bias significantly positively predicts irrational behavioral decision-making (β=0.628, p<0.001) and job-hunting fraud victimization (β=0.542, p<0.001). Mediation tests reveal that irrational behavioral decision-making exerts a partial mediating effect between cognitive bias and fraud victimization. Group differences suggest that junior college students, vocational college students, graduates of the 2026 cohort, and graduates from western China face a significantly higher risk of victimization.
Conclusion: This study verifies that cognitive bias acts as a critical psychological antecedent of graduates’ victimization by job-hunting fraud, while irrational behavioral decision-making serves as a vital mediating factor. Specifically, elevated cognitive bias increases the likelihood of irrational job-hunting behaviors, which in turn raises the risk of fraud victimization. Fraud victimization among graduates presents distinct group disparities and scenario-concentrated characteristics. Anti-fraud interventions in universities should adopt dual pathways of cognitive correction and behavioral training, with targeted risk identification and rational decision-making training for high-risk groups including junior college students, vocational college students and fresh graduates, so as to reduce the incidence of fraud victimization.
#83
Investigation of Nursing Students’ Learning Attitudes and Psychological Adaptation under the Blended Online and Offline Teaching Model
Bing Yu1, Xiangzhu Yan2, Yue Tan2, Meiling Zhang1, Miao Pang1, Ya Wen1, Cheng Che1, Wenjing Sun1
1School of nursing and well-being, Changchun Humanities and Sciences College, Changchun, China
2School of Health and Well-being, Changchun Humanities and Sciences College, Changchun, China
Objective: In the context of the widespread application of the online-offline blended teaching model in nursing education, nursing students exhibit differentiated learning attitudes and face new challenges in psychological adaptation. The aim is to provide theoretical basis and practical guidance for optimizing blended teaching in nursing education, improving teaching quality, and promoting the physical and mental health development of nursing students.
Methods: A questionnaire survey was conducted, targeting nursing students from multiple vocational and undergraduate institutions. The “Nursing Students’ Online-Offline Blended Teaching Learning Attitude Scale” and the “Nursing Students’ Blended Teaching Psychological Adaptation Scale” were designed to collect valid questionnaires. The literature research method was used to review related studies on blended teaching, nursing students’ learning attitudes, and psychological adaptation. Descriptive statistics, correlation analysis, and multiple regression analysis were employed to quantify the overall status and influencing factors of nursing students’ learning attitudes and psychological adaptation, supplemented by qualitative data from some student interviews.
Results: Nursing students’ learning attitudes toward online-offline blended teaching were generally at a medium-high level, showing high acceptance of blended teaching, but deficiencies existed in learning initiative, time management, and online learning concentration. The overall psychological adaptation of nursing students was good, with only 23.6% experiencing mild or higher levels of poor psychological adaptation, mainly manifested as online learning anxiety, difficulties in adapting to learning pace, and inadequate teacher-student interaction. Correlation analysis indicated a significant positive correlation between learning attitude and psychological adaptation (r = 0.58, P < 0.01); the more positive the learning attitude, the higher the level of psychological adaptation. Multiple regression analysis revealed that online learning ability, teaching mode satisfaction, and professional identity are the core factors affecting nursing students’ learning attitudes and psychological adaptation.
Conclusion: The overall learning attitudes and psychological adaptation of nursing students under the online-offline blended teaching model are good. Optimizing blended teaching implementation plans, strengthening nursing students’ online learning abilities, enhancing teaching satisfaction, and reinforcing professional identity can effectively improve learning attitudes and psychological adaptation levels, promote good learning habits and ensure the cultivation of high-quality applied talent in the nursing industry.
#84
Forecasting Fertility Rates with Neural Networks: Integrating Female Labor Force Participation and Psychological Well-Being
Huali Shi, Dongwoo Yoo
University of Ulsan, Ulsan 44610, South Korea
Objective: In the context of persistently declining fertility rates in China, growing scholarly attention has focused on how female labor force participation, the strictness of labor protection policies, and psychological health challenges related to career uncertainty influence women’s fertility decisions.
Methods: Using provincial panel data from 31 Chinese provinces for the period 2012–2022, this study investigates the nonlinear relationships among female labor force participation, the strictness of labor protection policies, and fertility rates. A Multilayer Perceptron (MLP) neural network model is employed to capture the complex nonlinear interactions among these variables. The results are further compared with traditional econometric approaches, including Ordinary Least Squares (OLS) and fixed effects models, which serve as benchmark specifications. In addition, the theoretical framework incorporates the Bellman equation to construct a dynamic optimization model explaining how labor market uncertainty influences women’s psychological well-being and fertility decisions.
Results: The empirical analysis yields several key findings. First, female labor force participation is significantly and negatively associated with fertility rates, suggesting that tensions between women’s career development and childbearing responsibilities remain pronounced within the current institutional context. Second, interaction analysis indicates that the effect of the strictness of labor protection policies on fertility is contingent upon its nonlinear interaction with female labor participation. In regions with relatively high female labor participation, stronger labor protection can mitigate post-childbirth career uncertainty, ease the psychological pressure associated with fertility decisions, and reduce precautionary saving motives, thereby supporting higher fertility outcomes. By contrast, in regions with lower female labor participation, excessively stringent labor protection may increase firms’ labor costs and intensify statistical discrimination against female workers, which can heighten employment anxiety and ultimately dampen fertility outcomes. Finally, comparative results show that the Multilayer Perceptron (MLP) neural network outperforms traditional linear models in both predictive accuracy and generalization performance, thereby providing a more accurate representation of the complex nonlinear relationships among institutional factors.
Conclusion: This study takes the female labor market as an analytical context and proposes a novel quantitative and visualization-based analytical framework to examine the nonlinear relationships between fertility decisions and their complex determinants. The findings indicate that policies promoting greater labor market flexibility and reducing employment-related uncertainty can effectively alleviate employment anxiety and strengthen fertility intentions. These findings provide robust empirical evidence for the development of more flexible and family-friendly policy frameworks that simultaneously address women’s economic security and psychological well-being, thereby contributing to efforts aimed at mitigating China’s structural demographic challenges.
#85
Research on Psychological Trust Mechanism and Behavioral Resilience in Digital Twin-based Power Grid Supply Chain
Guofeng Qiu1, Lijun Song2, Ming Luo1, Feifei Wang1, Bingyuan Xing2
1Southern Power Grid Supply Chain Group Co. Ltd, Guangzhou, China
2China Electricity Council Electric Power Construction Technical and Economic Consulting Center, Beijing, China
Objective: This study proposes an innovative psychological trust-enhanced digital twin framework that integrates behavioral economics principles and organizational psychology theories to address complex collaboration challenges in modern power grid supply chains. The research is grounded in social exchange theory and psychological contract frameworks, developing a comprehensive trust transmission model that effectively bridges technological capabilities with fundamental human behavioral factors. The proposed framework systematically incorporates psychological contract theory to establish a sophisticated cognitive-affective-behavioral trust architecture among supply chain nodes, enabling continuous real-time assessment of partnership reliability and collaboration quality across multiple dimensions.
Methods: Methodologically, the study combines advanced behavioral consensus algorithms with validated psychometric measurement scales, creating an integrated system for dynamic node trust management and multi-dimensional credibility assessment. The technical implementation strategically leverages edge computing infrastructure and Internet of Things technologies for efficient behavioral data collection and processing, while blockchain technology ensures the complete immutability and transparency of trust records. The architecture incorporates machine learning algorithms to analyze behavioral patterns and predict trust evolution, providing proactive insights for relationship management.
Results: A comprehensive 12-month empirical study was conducted on an extensive 50-node power grid supply chain network across multiple Chinese provinces, involving diverse stakeholders including equipment manufacturers, material suppliers, logistics providers, and grid operators. The research employed mixed methods, combining quantitative data analysis with qualitative assessments through structured interviews and survey instruments. The results demonstrated remarkable improvements across all key performance metrics: 60% enhancement in inter-organizational trust levels as measured by standardized psychometric scales, 99.3% accuracy in behavioral traceability through automated monitoring systems, and 40% reduction in trust assessment costs by replacing traditional labor-intensive audit processes.
Conclusion: Notably, the framework achieved 38.5% improvement in collaborative resilience during supply chain disruptions, with evidence of significantly faster recovery times and more effective coordination among partners during crisis situations. The psychological trust mechanism provides groundbreaking theoretical perspectives and practical methodological support for establishing reliable partnerships and behavioral resilience in complex power grid supply chain ecosystems. This research offers comprehensive solutions for enhancing collaboration efficiency and risk mitigation in the evolving energy transition era, contributing valuable insights to both academic literature and industry practices in supply chain management and organizational behavior.
#86
Translation as a Therapeutic Practice: An Analysis of the Psychological Motives and Poetic Value in Shi Zhecun’s Poetry Translation
Hui Liu
Faculty of Language and Literature, Anhui Sanlian University, Hefei, China
Objective: Objective: During the turbulent transformation of 20th-century Chinese modern literature, intellectuals widely experienced creative dilemmas and identity anxiety amid rapid social change and Sino-Western cultural encounters. As a representative writer of the “New Sensation School,” Shi Zhecun’s Selected Translations of Foreign Poems (1987) has often been discussed within the framework of “nurturing creation through translation.” However, existing studies mainly emphasize linguistic strategies and formal transformation, neglecting the psychological motivations and therapeutic value underlying his translation practice. This study introduces creative psychology to re-examine the impact of translation on translator subjectivity.
Methods: Focusing on Selected Translations of Foreign Poems (1987), this study combines close textual analysis with interdisciplinary theory. It constructs a three-dimensional framework of “selection—principles—practice” to explore the psychological mechanisms of Shi Zhecun’s translation behavior. Creative psychology is applied to interpret selection preferences as reflections of psychological needs; cognitive psychology is used to analyze paratexts as cultural compensation mechanisms that alleviate cognitive anxiety; and psycholinguistics examines how his popularized translation style facilitates emotional expression and flow experience.
Results: Shi Zhecun’s translation forms an integrated psychological resource system across three dimensions. First, his preference for literature from small nations and modernist poetry reflects a search for spiritual resonance to cope with aesthetic identity anxiety. Second, his paratextual strategies construct a “psychological safety zone,” effectively reducing cognitive anxiety in cross-cultural transmission. Third, his accessible translation style functions not only as a linguistic choice but also as a pathway for direct emotional expression, promoting creative flow and psychological catharsis.
Conclusion: The essence of Shi Zhecun’s concept of “nurturing creation through translation” can be understood as “settling oneself through translation.” His translation practice serves as a positive coping strategy that supports mental well-being and sustained creativity. This case offers an interdisciplinary perspective for understanding translator subjectivity and the relationship between translation and mental health, enriching translation studies.
Acknowledgements: The Higher Education Scientific Research Project of Anhui Provincial Department of Education titled “A Study on Shi Zhecun's Translation and Compilation Practice and Ideology in Selected Foreign One-Act Plays” (2025AHGXSK30013); Anhui Sanlian University Quality Engineering Project “Chinese Language and Literature Program Serving Anhui’s Emerging Industries” (25zlgc001); Anhui Sanlian University Social Science Platform Project “IResearch on the Cinematic/Televisual Artistic Representation and Innovative Communication of Excellent Traditional Chinese Culture” (PTSKC2025005).
#87
An Investigation on the Poverty Alleviation Efficiency of Fiscal Expenditure under the Shadow Economy based on the Residents’ Satisfaction
Xinxin Wang1, Yunhua Wu2
1School of Economics and Management, Nanchang Institute of Science and Technology, Nanchang, China
2School of Economics and Management, Nanchang Institute of Technology, Nanchang, China
Objective: Regarding fiscal poverty alleviation policies, existing research practices tend to measure their effectiveness based on macroeconomic indicators (such as per capita income), rarely taking into account the micro-level feelings of the poverty alleviation targets. In view of this, this paper aims to study the effectiveness of China's fiscal poverty alleviation policies from the perspective of residents' satisfaction. To accurately describe the effectiveness of policy-based fiscal poverty alleviation policies, this paper also incorporates shadow economy, the scale of government fiscal expenditure, and regional poverty into the research, and considers the regional heterogeneity of the effectiveness of fiscal poverty alleviation policies.
Methods: Regarding residents' satisfaction, existing literature generally adopts methods such as questionnaire surveys and expert interviews to conduct research from a psychological perspective. This article considers the poverty alleviation efficiency of government fiscal expenditure and its objective impact on residents' satisfaction. To make the research closer to reality, this paper also takes into account the mediating effect of the shadow economy. Taking 31 provinces in China as the research objects, this paper first tests the scale of China's shadow economy through the MIMIC model, and then examines the heterogeneity of the shadow economy on the efficiency of fiscal expenditure for poverty alleviation and its impact on residents' satisfaction.
Results: This study finds that: (1) There is a negative relationship between the scale of government fiscal expenditure and the poverty level of residents, and there is also a negative relationship between the poverty level of residents and their satisfaction, and both are significant at least at the 5% statistical level. (2) The poverty alleviation efficiency of the scale of government fiscal expenditure is affected by the level of shadow economy, and there are differences in the impact between highly developed and underdeveloped regions. (3) The shadow economy also has a significant impact on residents' satisfaction, and the influence varies between more developed and less developed regions.
Conclusion: (1) In economically underdeveloped regions, the shadow economy hinders the efficiency of government fiscal expenditure in poverty alleviation and the improvement of residents' satisfaction, while in economically developed regions, the opposite is true. (2) Residents' satisfaction and regional poverty are closely related to the shadow economy and the scale of government fiscal expenditure. Therefore, in economically underdeveloped areas, the development of the shadow economy should be controlled to enhance residents' satisfaction. Promote the development of the shadow economy and enhance residents' satisfaction.
#88
The Psychological Process of Self-Integration in the Epic “Jangar” and Its Implications for Contemporary Mental Health and Psychological Well-Being
Linhua Wu
Northwest Minzu University, Lanzhou, China
Objective: This study investigates the intersection of collective unconscious and individual psychological development as represented in the heroic epic Jangar, with particular attention to implications for mental health. It aims to explore how archetypes embedded in the epic—through narrative structures, character portrayals, and ritualized performances—facilitate psychological self-integration, thereby promoting inner harmony and psychological well-being. The research seeks to provide culturally sensitive perspectives on mental health promotion by examining how traditional cultural resources contribute to understanding individual psychological development.
Methods: The core object of this study is the heroic epic Jangar, regarded as a repository of mental health resources containing rich ethnic psychology, collective memory, and latent wisdom for psychological adjustment. Methodologically grounded in Jung's theory of the collective unconscious, a detailed characteristic analysis of the epic text uncovers archetypal images and their symbolic meanings related to mental health and psychological resilience. By integrating specific cases from the epic's transmission practices—including performances of Jangarchi (epic singers) and applications in ritual contexts—this approach reveals how cultural practices influence collective psychology and provide therapeutic mechanisms for emotional catharsis and identity reinforcement.
Results: The study reveals that through narrative structure, Jangar activates the “hero archetype” via the classic “hero's journey” model. The protagonist's process of overcoming hardships to achieve heroic status aligns with archetypal traits of enduring trials and achieving self-transcendence. This resonance fosters psychological resilience and unlocks mental potential, building coping mechanisms essential for robust mental health. In shaping ritual scenarios, the frequent depiction of “feast gatherings” reinforces identification with the “self-archetype” and creates a supportive psychological environment. These ritual scenes construct an idealized collective order and sense of belonging, enhancing self-identity, acceptance, and social connectedness—key elements in maintaining mental health and protecting against psychological distress.Additionally, by confronting and transforming the “shadow archetype,” the epic achieves balance in psychic energy and facilitates emotional catharsis. Antagonistic figures such as Manggus (monsters), as symbols of the shadow archetype, engage in intense conflicts with the hero. This confrontation encourages individuals to confront repressed negative emotions and impulses, facilitating recognition, acceptance, and transformation of these shadows. This process provides a cultural narrative model for emotional management, trauma processing, and psychological conflict resolution—fundamental components of mental health maintenance.
Conclusion: The mechanisms of self-integration and psychological adjustment embedded in Jangar offer profound explanation for the epic's enduring vitality and provide an invaluable paradigm for modern psychological research on the interplay between collective memory, cultural resources, and individual mental health development. This study contributes to broadening the cultural horizon of psychological research, deepening understanding of individual psychological development patterns and culturally rooted pathways to mental health and emotional resilience. It offers beneficial insights for contemporary mental health promotion, psychotherapeutic practices, community-based psychological interventions, and the cultivation of holistic personal development in an increasingly complex world.
#89
Design Method of Clothing Patterns Based on Aesthetic Psychological Needs
Yuanjun Zhang
School of Textile and Clothing, Nantong University, Nantong, China
Objective: The purpose of this study is to explore the aesthetic psychological characteristics of the target group and translate them into specific design strategies, constructing a precise matching mechanism that includes demand, design, and feedback, in order to enhance the emotional appeal and market adaptability of clothing patterns.
Methods: This study focuses on three core contents: demand investigation, factor transformation, and verification optimization. Combining psychological perspectives and design practices, it attempts to construct a systematic methodological framework. Firstly, in the investigation of aesthetic psychological needs, a mixed path approach was adopted to obtain multi-source data. Information was collected through questionnaires, with respondents ranging in age from 18 to 60 years old and geographically distributed in first tier to third - and fourth tier cities. Finally, no less than 500 valid questionnaires were collected. The questionnaire mainly investigates color preferences, pattern styles, and usage scenarios. Secondly, in the stage of transforming psychological characteristics into design elements, research aims to translate abstract needs into concrete and controllable parameters. In terms of color, according to the principles of color psychology, adjust the main color tone and its matching ratio. In terms of matching proportions, children's products are suitable for using contrasting colors, while business scenes are more suitable for neutral color combinations with strong coordination. In terms of graphics, elements are designed according to the style preferences of different groups: for fashion groups, digital China-Chic symbols are used; For practical oriented groups, adopt simplified natural patterns; For groups with strong cultural identity, contemporary expressions of traditional symbols should be strengthened. At the composition level, adjust the layout according to the cognitive needs of users. In terms of material adaptation, material selection is based on tactile associations. For example, the combination of silk and floral patterns can convey elegance, while the combination of denim fabric and ethnic patterns can more easily highlight personality. Thirdly, in the design validation and optimization phase, feedback is collected through small-scale fitting tests and eye tracking experiments, and then details are optimized based on the feedback. In the try on test, users rate the level of aesthetics and purchase intention; The purpose of eye tracking experiments is to track the distribution and duration of fixation points. Based on the above feedback, make adjustments to the design details.
Results: Patterns that meet the psychological characteristics of the target audience have a 27% higher aesthetic rating than traditional designs, and this difference is statistically significant. At the same time, the proportion of respondents who expressed a strong willingness to purchase increased from 32% to 43%, with a more prominent change. In addition, eye tracking experiment data revealed that users' gaze duration for this type of pattern increased by 40%, and the frequency of positive feedback also increased.
Conclusion: The key to clothing pattern design lies in whether it can accurately respond to the aesthetic psychological needs of the current target audience. This demand is specifically reflected in cultural identity and personalized desires. Through a closed-loop path of research, conversion, and verification, the psychological needs of the audience can be transformed into specific design parameters, such as color, graphics, etc. Thus, a deep resonance has been formed between the design language and user psychology. This method provides designers with a scientific tool to upgrade clothing from simple visual decoration to a carrier of emotional expression.
#90
The Developmental Mechanism of University Students’ Learning Capacity: Examining Knowledge Construction and Learning Interest from a Mental Health Perspective
Junsheng Wang, Lihua Zhou, Linwei Wang
Huanghe Science and Technology University, Zhengzhou, China
Objective: From the perspective of health psychology, this study integrates two key mental health factors—learning affect and academic self-efficacy—into the dimension of learning interest, establishing them as critical antecedent variables for predicting university students' information-based learning capacity. It aims to construct and validate an integrated theoretical model to systematically investigate how knowledge construction level and learning interest jointly influence learning capacity. Furthermore, it seeks to explore effective pathways and support strategies for promoting students' personalized learning and enhancing their psychological adaptability in an information-driven environment.
Methods: A cross-sectional survey design was adopted, with questionnaires administered to 344 university students. Measurement tools included: the Knowledge Construction Level Scale, the Learning Interest Scale, and the Learning Capacity Scale. Structural equation modeling was employed to analyze the moderating and mediating effects of mental health factors within the “knowledge construction → learning interest → learning capacity” pathway. By defining “Emotional Viscosity (M)” as a composite variable comprising learning affect, academic self-efficacy, and mental health indicators, the theoretical formula Learning Capacity (F) = Emotional Viscosity (M) × Intrinsic Knowledge Information Potential (A) was operationalized and tested.
Results: 1. Students' learning capacity is collectively influenced by their learning environment, learning interest, and knowledge construction level. Among these, knowledge construction level demonstrates a significant positive predictive effect on learning capacity, with learning interest serving as a partial mediator in this pathway. 2. Mental health factors exhibit significant moderating effects on this pathway: both learning affect and academic self-efficacy enhance the facilitative role of learning interest on learning capacity. 3. Demographic variables such as gender and place of origin show significant between-group differences across the dimensions of university students' learning interest, knowledge construction level, and learning capacity. These differences are particularly evident in their effects on students' learning motivation and learning creativity.
Conclusion: Knowledge construction level and learning interest are core determinants affecting students' learning capacity. The interaction between psychological factors (e.g., academic self-efficacy, learning affect) and cognitive factors (e.g., knowledge construction level, learning strategies) within learning interest reveals a new paradigm of “psychologically-adaptive learning.” This indicates that enhancing learning outcomes relies not only on the development of cognitive abilities but also on the dynamic alignment and synergistic interaction between psychological states and cognitive processes. To systematically improve students' learning capacity, it is necessary to construct a highly personalized educational ecosystem driven by the dual tracks of mental health and cognitive development.
Acknowledgements: This work was supported by the following grants: the Henan Province University Humanities and Social Sciences Research Funding Program (Grant numbers: 2026-ZZJH-122), the Henan Province Key Scientific Research Projects Funding Program for Higher Education Institutions (Grant numbers: 26A880008), the Henan Province Philosophy and Social Sciences Planning Annual Project (Grant numbers: 2022BJY019), and the Henan Province Major Applied Research Project in Philosophy and Social Sciences for Higher Education Institutions (Grant numbers: 2023-YYZD-15).
#91
When Stories Raise or Reduce Duty: How Heritage Narrative Framing Divergently Shapes Tourist Conservation Behaviors Through Moral Obligation
Aiping Zhang, Changyi Li
School of Business, Shandong Management University, Jinan, China
Objective: This study aims to investigate how narrative communication in cultural heritage tourism shapes visitors’ willingness to engage in conservation behaviors, with a particular focus on the distinct psychological pathways and boundary conditions underlying different behavioral outcomes. In addition, it incorporates a psychological well-being perspective to examine how narrative-induced moral processes contribute not only to pro-conservation actions but also to visitors’ sense of meaning, responsibility, and psychological engagement.
Methods: A series of three controlled experiments were conducted to examine the effects of different narrative frames—heritage vulnerability versus aesthetic value—on visitors’ behavioral intentions, including altruistic donation and willingness to pay for cultural and creative products. Mediation analyses were employed to assess the role of moral obligation, while moderation analyses tested the influence of tourists’ prior cognition (e.g., familiarity and attitudes toward heritage sites) on the proposed mechanisms.
Results: The findings demonstrate that narrative framing significantly influences conservation-related behaviors through distinct psychological mechanisms. Vulnerability-focused narratives more effectively elicit altruistic donation intentions by enhancing individuals’ sense of moral obligation, whereas aesthetic-focused narratives promote consumption-related behaviors by attenuating moral obligation and enhancing experiential appreciation. Furthermore, these moral processes are associated with increased psychological engagement and a heightened sense of purpose, suggesting benefits for visitors’ psychological well-being. Moderation analyses reveal that at well-known heritage sites, tourists’ attitudes influence the translation of moral obligation into behavior, while at lesser-known sites, familiarity shapes the extent to which narratives activate moral obligation.
Conclusion: This study advances the literature by uncovering differentiated narrative pathways that link communication strategies to specific conservation behaviors through moral obligation, while integrating a psychological health perspective. It highlights that narrative communication can serve not only as a behavioral intervention tool but also as a means of fostering meaningful psychological experiences. Practically, the findings provide actionable insights for heritage managers to design targeted narrative strategies that simultaneously promote conservation engagement and enhance visitors’ psychological well-being, shifting heritage communication from passive information dissemination to active moral and emotional mobilization.
#92
The Mechanism of the Influence of Physical Education Teachers’ Expectations on Students' Sports Performance from the Perspective of Social Cognitive Theory
Xueyan Li
Baicheng Normal University, Baicheng, China
Objective: In response to the current issues in physical education where the relationship between teachers' expectations and students' sports performance is unclear and the influencing mechanisms are vague, this study aims to provide theoretical support and practical guidance for optimizing physical education strategies, stimulating students' sports potential, and improving the quality of physical education.
Methods: Using the literature research method, this study systematically reviewed social cognitive theory, teacher expectation theory, and research findings related to physical education to construct a theoretical model of how teachers' expectations affect students' sports performance. The subjects included students from different educational stages in primary, secondary, and higher education. A questionnaire survey was conducted to collect data on physical education teachers' expectations, students' self-efficacy, sports motivation, sports performance, and sports anxiety, resulting in the collection of valid questionnaires. Descriptive statistics, correlation analysis, structural equation modeling, and moderation analysis were utilized to test the direct impact of teachers' expectations on students' sports performance, the mediating roles of self-efficacy and sports motivation, and the moderating role of sports anxiety, supplemented by qualitative data obtained through classroom observation.
Results: Physical education teachers' expectations had a significant positive predictive effect on students' sports performance (β=0.42, P<0.01), with higher positive expectations corresponding to better student performance. Self-efficacy and sports motivation acted as a chain mediator between teachers' expectations and students' sports performance, where teachers' expectations indirectly promoted students' sports performance by enhancing students' self-efficacy and increasing their sports motivation. Sports anxiety negatively moderated the relationship between teachers' expectations and students' sports performance, with lower anxiety levels leading to stronger positive effects of teacher expectations. Additionally, the impact of teachers' expectations varied across educational stages and students with different sports foundations; students in primary school and those with weaker sports foundations were more significantly influenced by teachers' expectations.
Conclusion: From the perspective of social cognitive theory, physical education teachers' expectations can directly affect students' sports performance and indirectly influence it through the chain mediation of self-efficacy and sports motivation, with the process moderated by sports anxiety. Physical education teachers should establish scientific expectation concepts, deliver positive expectations tailored to students of different educational stages and sports foundations, and enhance the positive effects of expectations by strengthening students' self-efficacy, stimulating sports motivation, and alleviating sports anxiety to help students improve sports performance, cultivate lifelong sports awareness, and promote the improvement and efficiency of physical education.
#93
Modeling of Psychological Behavior in SME Financing Decisions and Systematic Simulation Analysis under Trade Policy Environment
Wei Xiong1, Siyu You1, Zhixiu Li2, Xuehan Zhuo2, QinLing Jiang2, Xinhuiling Ding2, Zhixiao Wang2
1School of Accounting, Dongbei University of Finance and Economics, Dalian, China
2International Business College, Dongbei University of Finance and Economics, Dalian, China
Objective: The current trade policy uncertainty is intensifying, and the financing difficulties of small and medium-sized enterprises are becoming increasingly prominent. Traditional financial theory is based on the assumption of complete rationality, which makes it difficult to explain the atypical financing behavior of enterprises in complex environments. It is urgent to introduce a psychological behavior perspective to improve the decision analysis framework.
Methods: This study constructs a behavioral finance model that integrates prospect theory and herding effects to quantify the impact of managers' risk preferences and cognitive biases on financing choices. By incorporating system dynamics methods, it builds a multi-agent simulation platform that includes tariff fluctuations, credit constraints, and corporate psychological parameters, simulating the financing evolution paths of small and medium-sized enterprises under different trade policy scenarios.
Results: The simulation results show that when the trade policy uncertainty index rises by 15%, driven by loss aversion, the corporate debt financing willingness decreases by 22.4% on average, and the decision-making lag period is extended by about 3 quarters. After the introduction of group imitation mechanism, the credit contraction effect of local market is amplified by 1.8 times, which leads to the systematic default probability climbing from 4.5% of the baseline to 9.2%. The results show that psychological deviation significantly weakens the transmission efficiency of monetary policy, which makes the effect of conventional bail-out measures lose nearly 30%.
Conclusion: The research conclusion indicates that psychological and behavioral factors are key variables in explaining the financing anomalies of small and medium-sized enterprises. Relying solely on external capital supply cannot fundamentally solve financing difficulties, and policy formulation needs to take into account the psychological characteristics of micro-entities. It is recommended that regulatory authorities establish expectation guidance mechanisms, reduce cognitive noise through information disclosure, and design differentiated support tools with psychological compatibility.
#94
Cognitive Load Optimization in Reader-Centric Translation of Regional Fiction: A Memetic and Cognitive-Linguistic Investigation
Hui Gao1, Gang Yuwen2
1Shandong University of Political Science and Law, Jinan, China
2Shanxi Vocational University of Engineering Science and Technology, Jinzhong, China
Objective: Grounded in the synthesis of translation memetics and cognitive processing theory, this study addresses the exigency of developing efficacious methodologies for translating regional Chinese fiction. Such narratives incorporate dense cultural-linguistic markers—including vernacular idioms, dialectal expressions, and ethno-specific speech acts—that encode distinct regional identities. However, the inherent cultural exclusivity of these linguistic memes frequently imposes excessive cognitive demands on target-language readerships, thereby impeding transnational cultural transmission. This investigation interrogates the efficacy of popular-oriented translation approaches in negotiating the dialectic tension between cultural preservation and cognitive accessibility.
Methods: Employing a qualitative analytical framework, this research examines Howard Goldblatt's English renditions of regional novels. The analytical procedure encompasses: (1) extraction of core regional-linguistic memes (folk sayings, dialectal constructs, and culture-specific utterances) from source texts; (2) comparative analysis of source markers against Goldblatt's target-text strategies (semantic paraphrase, cultural recalibration, and functional equivalence); (3) assessment of cognitive accessibility through cognitive-psychological processing models; and (4) verification of cultural essence retention via cross-cultural textual analysis.
Results: The analysis demonstrates that Goldblatt's reader-oriented strategies substantially mitigate cognitive load among target readerships, evidenced through syntactic streamlining and contextual supplementation of cultural schemata. Significantly, these approaches attenuate the cultural exclusivity of regional-linguistic memes without compromising their semiotic function as cultural landmarks. Dialectal expressions undergo transformation into semantically transparent English formulations while preserving core cultural connotations. Furthermore, the translations successfully reconstruct the aesthetic verisimilitude of local cultural milieus, enabling regional memes to maintain authenticity while achieving enhanced accessibility within international literary marketss.
Conclusion: This study elucidates that popular-oriented translation paradigms facilitate the transnational proliferation of regional-linguistic memes while aligning with fundamental cognitive-psychological principles by alleviating processing anxiety among target-language readers. By diminishing cognitive load and enhancing mnemonic accessibility of culturally-embedded elements, this approach effectively accommodates international audiences' psychological expectations for authentic yet cognitively-approachable literary works. The findings furnish substantive implications for regional fiction translation praxis and provide theoretical grounding for research concerning cross-cultural transmission, particularly regarding the equilibrium between cultural preservation and reader-centered cognitive adaptability.
#95
Geopolitical Conflicts, Global Economic Disruptions, and Mental Health Implications: Transmission Mechanisms and China’s Strategic Responses
Ruobing Wang
School of Business & Faculty of Business, Economics and Law, University of Queensland, Queensland, Australia
Objective: This study aims to systematically examine the transmission mechanisms through which geopolitical conflicts influence the global economy, with a particular focus on key sectors such as energy markets, supply chains, financial systems, and international trade. Additionally, it seeks to evaluate China’s strategic responses within this evolving landscape and to incorporate the often-overlooked dimension of psychological well-being, analyzing how economic instability induced by geopolitical tensions affects mental health at both individual and societal levels.
Methods: This research adopts a multidisciplinary analytical framework integrating international political economy, macroeconomic analysis, and psychological assessment. Qualitative policy analysis and comparative case studies of recent geopolitical conflicts are combined with secondary data from global economic indicators and mental health reports. The study further employs a systems-based approach to model the pathways linking conflict-induced economic disruptions with psychosocial stressors.
Results: The findings indicate that geopolitical conflicts propagate through multiple interconnected channels, amplifying volatility in energy prices, disrupting global supply chains, and increasing financial market uncertainty. These economic disturbances not only hinder global growth but also contribute to heightened psychological stress, anxiety, and uncertainty among populations, particularly in regions heavily dependent on global trade. China’s adaptive strategies—such as expanding domestic demand, enhancing economic resilience through structural reforms, advancing green transformation, and promoting multilateral cooperation—have demonstrated partial effectiveness in mitigating both economic risks and associated psychosocial impacts.
Conclusion: Geopolitical conflicts exert complex and far-reaching effects on the global economy, extending beyond traditional economic domains to significantly influence mental health and social stability. Addressing these challenges requires integrated policy responses that combine economic resilience with public mental health interventions. China’s approach provides a valuable case for balancing economic adaptation with global cooperation, offering insights for fostering sustainable recovery and contributing to a more stable and inclusive international economic order.
#96
A Psychological Study on the Mechanisms of Collective Memory and Ethnic Identity Construction in Place-Name Legends of Qinghai Region: Implications for Psychological Well-being
Linhua Wu
Northwest Minzu University, Lanzhou, China
Objective: This study explores the psychological mechanisms underlying the formation of collective memory in place-name legends in the Qinghai region and examines their role in constructing ethnic identity. Due to Qinghai’s unique geography and multiethnic history, its place-name legends carry rich cultural and historical meanings. By analyzing these legends, the research aims to reveal how collective memory is formed and utilized to strengthen ethnic identity. It further investigates how these processes contribute to psychological well-being by fostering belonging, continuity, and purpose, offering a theoretical framework for understanding ethnic relations, cultural transmission, and mental health in multicultural contexts.
Methods: The study focuses on widely circulated place-name legends in Qinghai associated with historical events and heroic figures, which serve as carriers of collective memory. A mixed-method approach was adopted. First, literature review was used to collect historical documents and local records, tracing the origins and evolution of these legends through the lens of psychological information processing. Second, ethnographic fieldwork was conducted through in-depth interviews in local communities to document oral narratives and their transmission. These interactions highlighted strong emotional attachment and identity recognition among residents, reflecting the psychological foundations of ethnic identity and its positive impact on well-being.
Results: The findings indicate that collective memory in Qinghai’s place-name legends is dynamic and multi-layered. During memory formation, selective attention and cognitive filtering mechanisms guide individuals to retain culturally meaningful and psychologically relevant elements while discarding conflicting information. This enhances cognitive efficiency and aligns memory with shared values. In the stage of social transmission, storytelling and ritual practices create emotionally engaging contexts that strengthen group cohesion and identity through social identity and emotional resonance processes. These shared memories provide psychological resilience, offering individuals a sense of security, support, and positive social identity, which helps mitigate stress and social disintegration.
Conclusion: Collective memory embedded in place-name legends is closely intertwined with ethnic history, culture, and social structure, functioning as a core psychological marker of ethnic identity. Ethnic identity reflects both cognitive and emotional attachment to a group and is a crucial component of individual well-being. As a form of social cognition, collective memory shapes not only historical understanding but also present attitudes and future orientations. This study highlights how shared memories influence group psychology and how differences in memory may create barriers or promote integration. Future research should emphasize the preservation and transmission of these legends to enhance identity, belonging, and the psychological well-being of communities in an increasingly globalized world.
#97
A Study on Cross-Modal Recommendation Algorithms for Game Characters Incorporating Players' Psychological Needs
Xiaoqin Liu
Wuhan Institute of Design and Sciences, Wuhan, China
Objective: This study proposes a novel game character recommendation model to address key limitations of traditional systems, including insufficient multimodal data integration, severe cold-start issues, and limited interpretability. Distinctively, it incorporates player psychology—an often-overlooked factor—by aligning recommendations with users’ intrinsic psychological needs. The framework integrates multimodal data and knowledge graphs to enhance both algorithmic performance and user satisfaction.
Methods: We introduce MKGAR, a knowledge graph–augmented multimodal recommendation model. Visual and textual features are extracted using ResNet-50 and BERT, respectively, and fused through a parametric cross-modal attention mechanism that adaptively weights modalities based on psychological relevance. To alleviate data sparsity and cold-start challenges, a domain-specific knowledge graph linking games, characters, and psychological attributes is constructed. Semantic relationships are learned via incremental graph convolutional networks. Experiments are conducted on Steam datasets to evaluate performance.
Results: The MKGAR model demonstrates state-of-the-art performance, achieving an AUC of 0.851 for click-through prediction, an NDCG@10 of 0.647 for ranking, and a Recall@10 of 0.362 in cold-start scenarios, all significantly outperforming baseline methods. Visualization of attention weights enhances interpretability by revealing how modality contributions adapt to psychological needs such as competence. User studies further confirm improved satisfaction, emotional resonance, and perceived relevance, indicating the model’s effectiveness in identifying characters with strong psychological alignment.
Conclusion: This study presents an explainable and human-centric recommendation framework that captures the psychological drivers of player preferences. MKGAR effectively addresses multimodal integration, cold-start, and interpretability challenges, while achieving strong empirical performance. The findings highlight the value of integrating psychological constructs with advanced AI techniques, contributing to the development of more user-centered and psychologically aligned digital entertainment systems.
Acknowledgements: This work was funded by the Guiding Project of the 2025 Scientific Research Program of the Education Department of Hubei Province (Research on Intelligent Recommendation System for Game Characters Based on Multimodal Fusion and Knowledge Graph Enhancement). This work was funded by the 2025 Wuhan Institute of Design and Engineering Sciences -level Innovation Design Research Institute Project (Research on Intelligent Recommendation System for Game Characters Based on Multimodal Fusion and Knowledge Graph Enhancement, Project Number: K202516).
#98
Innovation in Traditional Handicraft Design from the Perspective of Aesthetic Psychology
Shunkai Zhang, Wenmiao Jiang
Institute of Fine Art Fuyang Normal University, Fuyang, China
Objective: The research will focus on the main factors such as aesthetic preferences, emotional stimulation processes, and cognitive understanding methods, striving to find the internal combination between traditional aesthetic elements and modern aesthetic psychological structures. Based on the above analysis, this study attempts to obtain scientific evidence to support the living inheritance of handicrafts in contemporary times and truly transform them into sustainable market value.
Methods: During the qualitative research phase, 20 traditional handicraft practitioners, 15 intangible cultural heritage protection experts, and 30 handicraft consumers of different age groups were interviewed. Based on these materials, use the theme coding method to analyze and gradually identify the key factors that affect the aesthetic psychology of traditional handicrafts. In the quantitative research stage, questionnaires were distributed to handicraft enthusiasts aged 18 to 60 nationwide, and a total of 800 valid questionnaires were received, with a sample effective rate of 91.2%. The “Traditional Handicraft Aesthetic Preference and Innovation Acceptance Questionnaire” used includes a self-designed scale that covers aesthetic cognition, emotion, behavior, and other aspects. In addition, this study also included eye tracking experiments as a supplement, inviting 30 participants to observe traditional and innovative handicrafts. By recording their gaze concentration, we further analyzed people's attention tendencies and preference characteristics in the aesthetic process.
Results: Firstly, there are significant differences in aesthetic preferences among different age groups. Young people aged 18 to 35 prefer hybrid designs that simplify traditional patterns and combine them with modern materials, with a recognition rate of 72.3% for this style. In contrast, middle-aged and elderly people aged 36 to 60 value “authentic aesthetics” more, but it should be noted that this group also shows a higher acceptance of some digital presentation forms, accounting for 61.5%. Secondly, emotional stimulation is an important way to enhance consumer preferences. Research shows that when the public appreciates handicrafts, the “warmth brought by handmade traces” and “identity recognition triggered by cultural stories” are the most emotionally impactful, with recognition rates of 89.1% and 76.4%, respectively. Furthermore, the cognitive processing style of the audience directly affects their acceptance of innovative design. Eye tracking experiment data shows that the observer's gaze will first focus on “areas with sharp color contrast” and “dynamic details”, with fixation ratios of 68.7% and 53.2%, respectively. The study also found that when innovative designs retain at least 30% of classic aesthetic elements, the audience's “cultural cognitive fluency” reaches its optimal state, and psychological rejection can be reduced by 51.8%. Finally, interactive experiences can effectively increase the level of public psychological participation. By involving consumers in pattern customization or on-site production.
Conclusion: To make real progress in innovation of traditional handicrafts, it is necessary to promote them according to the inherent laws of people's aesthetic psychology, especially paying attention to balancing the relationship between “traditional emotional expression” and “modern functional matching”. At the same time, handicraft design should also adapt to the aesthetic changes of different age groups; In addition, the audience's understanding and acceptance process should be improved, and the proportion of traditional elements used should be appropriately controlled to make them easier to understand and appreciate.
#99
Policy Uncertainty and Sustainabilrity Pesponse to Climate Risk: A Managerlal Decision Psychology Perspective
Liming Zhang, Wei Liu, Cuiping Yang
Business School, Sichuan University, Chengdu, China
Objective: Amid escalating economic, environmental, and social impacts of global climate change, firms face growing climate-related risks that challenge long-term sustainability. Beyond reshaping operational environments, such risks increase uncertainty in managerial decision-making. From a managerial decision psychology perspective, external pressures are filtered through cognitive and emotional processes, including threat perception, coping assessment, and strategic choice under uncertainty. While prior research has emphasized economic and institutional consequences, limited attention has been given to how policy uncertainty constrains firms’ sustainability responses by complicating managerial judgment and coordination.
Methods: Using panel data of Chinese A-share listed firms from 2010 to 2021, this study examines the impact of climate risk on corporate sustainability performance, with climate policy uncertainty and economic policy uncertainty as moderating variables. Sustainability performance is measured through a multidimensional index capturing economic, environmental, and social outcomes. Climate risk reflects firms’ exposure to physical and transition pressures. Policy uncertainty is conceptualized as volatility in the external environment that may influence managers perceived control, coping efficacy, and cognitive load. Heterogeneity analyses are conducted across ownership types and industry classifications.
Results: Climate risk significantly improves corporate sustainability performance, indicating that heightened threat salience stimulates adaptive strategic responses. However, both climate policy uncertainty and economic policy uncertainty weaken this positive effect. These findings suggest that policy uncertainty disrupts sustainability responses through psychological mechanisms, including increased cognitive load, reduced perceived coping efficacy, and loss-averse decision framing. Heterogeneity results show that the moderating effect of climate policy uncertainty is stronger among non-state-owned and non-heavily polluting firms, whereas economic policy uncertainty has a stronger effect on state-owned and heavily polluting firms. This reflects systematic differences in psychological safety, perceived control, and organizational resources.
Conclusion: The sustainability-enhancing effect of climate risk depends on the policy environment. While climate risk can motivate proactive sustainability strategies, elevated policy uncertainty constrains managerial responses by increasing decision complexity and psychological burden. Although executive psychological states are not directly measured, the results provide indirect evidence that reducing policy uncertainty may alleviate managerial cognitive constraints and enhance firms’ adaptive capacity and long-term sustainability.
#100
Mediating Effect of Social Capital in the Process of Promoting Rural Revitalization Through Digital Inclusive Finance: Investigation Based on the Perspective of Residents’ Well-being
Huan Chen1, Anzhong Huang2
1Faculty of New Commercial Science, Anhui Sanlian University, Hefei, China
2School of Finance and Accounting, Anhui Xinhua University, Hefei, China
Objective: The concept of rural revitalization is multi-dimensional, encompassing both objective economic indicators and residents' subjective feelings. However, existing research rarely examines from the perspective of residents' subjective perception. Regarding the realization path of rural revitalization, many scholars have noted that the promoting effect of digital inclusive finance on rural revitalization is interfered by many factors. Currently, the factors considered by the academic community are regional economic development level, educational and cultural level, etc., while the most abundant social capital in rural areas has been overlooked. As is well known, social capital is an important factor supporting China's informal credit activities. In view of this, this paper attempts to study the mediating effect of social capital on the process of digital inclusive finance promoting rural revitalization from the perspective of residents' subjective well-being.
Methods: This paper selects 16 administrative regions in Anhui Province of China as the research objects. Firstly, this paper adopts theoretical analysis to clarify the impact of social capital on digital inclusive finance and residents' subjective well-being, as well as the influencing mechanism. Secondly, this paper empirically tests the theoretical analysis conclusions. To this end, four indicators of digital inclusive finance, seven indicators of social capital, six control variables, and indicators are selected. The nature and magnitude of the mediating effect of digital inclusive finance in the process of rural revitalization are empirically tested.
Results: The study finds: (1) Except for the indicators “number of relatives and friends working in the formal sector” and “Frequency of participation in village group activities”, the other five indicators of social capital are positively correlated with the dependent variable, and are significant at the 5% statistical level or above. (2) Except for “sex” and “educational level”, the other four control variables are positively correlated with the independent variable, and are significant at the 5% statistical level or above.
Conclusion: (1) Social capital has a significant impact on residents' well-being, especially the number of families contact with; the ratio of clan population in the village population, the level of trust in relatives and friends nd, the level of trust in the villagers. (2) The social capital of a region has a significant spillover effect on the well-being of residents in neighboring areas, but the effects of different indicators are different. (3) Inclusive finance has a significant mediating effect on the impact of social capital on the well-being of residents, especially the number of families contact with the ratio of clan population in the village population, the level of trust in relatives and friends, the level of trust in the villagers and the number of socio-economic organizations.
#101
Research on the New Collaborative Cultivation Paradigm in Vocational College Libraries from the Perspective of Emotional Value
Zheng Luo, Rong Xiao, Haiyun Zhao
Jiaxing Vocational Technical College, Jiaxing, China
Objective: Against the backdrop of the deepened reform of “holistic education for all students in all aspects and at all stages”, contemporary vocational college students are increasingly confronted with dual psychological challenges: the mounting pressure of professional skill acquisition in intense academic competition and the pervasive anxiety over social recognition amid career expectations. Traditional library services, which have long been confined to basic information supply and document circulation, are incompetent to respond to their in-depth psychological needs and emotional appeals. Introducing the concept of “emotional value” to construct a new paradigm of collaborative education is of great significance for vocational colleges to fulfill the fundamental task of fostering virtue through education and effectively safeguard students’ mental health and all-round development. This study aims to explore the specific roles and internal operational mechanisms of library services in supporting students’ psychological maturity and sound personality growth.
Methods: This study integrates Cai Yu’s emotional value theory with the core construction logic of future learning centers, and establishes a scientific four-dimensional analytical model of psychological education, covering resource transformation, field construction, role reshaping and institutional guarantee. Taking the “Mo Cifang” public calligraphy course of Jiaxing Vocational Technical College Library as a typical empirical case, it conducts an in-depth dissection of its operational mechanism characterized by expert librarian leadership, scientific assessment indicator drive and warm community peer mutual assistance, as well as the path of its service transformation achieved through immersive cultural experience and emotional community construction.
Results: The study reveals that the “Mo Cifang” program is more than a simple skill learning platform; it constructs a dynamic psychological education closed loop of “emotional release-ability empowerment-emotional resonance-immersive experience” via a protagonist-centered narrative. This loop realizes the deep integration of aesthetic education-based psychological healing and craftsman spirit cultivation that emphasizes dedication and precision. The immersive learning environment and positive community interaction created by the program effectively enhance students’ sense of campus belonging and emotional resonance with peers, thereby strengthening their psychological resilience and positive self-identity. Empirical evidence confirms that such activities serve as an effective psychological intervention to promote students’ emotional health and moral growth.
Conclusion: Vocational college libraries should clearly position themselves as “emotional resource providers” in psychological services, and build a distinctive education ecosystem through improved collaborative mechanisms and standardized institutional governance. Library services must transcend the traditional single function of information transmission, and commit to creating high-quality psychological and emotional value, thus providing substantive support for students’ all-round development and mental health under the framework of holistic education.
#102
Research on the Coupling Mechanism of Digital Financial Inclusion Based on Residents' Satisfaction and Rural Revitalization
Yang Xu1, Anzhong Huang2
1School of Economics and Management, Nanchang Institute of Science and Technology, Nanchang, China
2School of Finance and Accounting, Anhui Xinhua University, Hefei, China
Objective: Digital inclusive finance is one of the important paths for implementing the rural revitalization strategy. The connotation of rural revitalization is diverse, and existing studies generally measure rural revitalization using objective economic indicators, while ignoring the subjective feelings of rural residents. In view of this, based on the subjective well-being of residents, this paper studies the coupling mechanism of digital inclusive finance and rural revitalization and its role in rural revitalization.
Methods: This paper takes 11 regions in Jiangxi Province, China as the research objects, with the sample period from the first quarter of 2015 to the third quarter of 2025. In addition to digital inclusive finance (three indicators) and rural revitalization (four indicators), this paper also selects four control variables. Due to inconsistent data formats and units, this paper first standardizes the original data and then conducts regression analysis.
Results: This paper's research finds: First, the higher the coupling degree of digital finance inclusiveness and rural revitalization, the stronger the farmers' satisfaction. Factor loadings analysis shows that all factors have a linear relationship with the original variables, and the rotated factors have higher loadings. According to the component matrix analysis, all common factors respectively contain the following variables: industrial structure level, regional location, and regional economic level. Second, each indicator of digital inclusive finance has a real positive impact on rural revitalization. Among them, the impact coefficient of financial accessibility is the largest (above 0.42), while the impact coefficient of financial breadth is the smallest (below 0.17). Third, the coupling degree of digital inclusive finance and rural revitalization in Jiangxi Province has a significant spatiotemporal effect. From a spatial perspective, the coupling degree of digital inclusive finance and rural revitalization in Jiangxi Province also has significant regional differences. For example, the coupling degree in Hefei region is 0.91, while that in Lu'an region is less than 0.8. From a temporal perspective, the coupling degree of digital inclusive finance and rural revitalization in Jiangxi Province increased slowly from 2015 to 2017, and increased rapidly from 2018 to 2021, and then the growth rate significantly decreased. Fourth, the influence of control variables also has significant differences. The influence of residents' age and the distance between this region and surrounding central cities (Nanjing and Hefei) has a significant negative impact. While other control variables have a significant positive impact.
Conclusion: The development level of digital inclusive finance and rural revitalization in Jiangxi Province is insufficient, and there are significant regional differences. However, the satisfaction of residents in Jiangxi Province has a significant impact on rural revitalization, that is, from the perspective of residents' satisfaction; digital inclusive finance can significantly promote rural revitalization.
#103
An Investigation of the Moderating Effect of Digital Divide on the Relationship between Financial Inclusion and Mental Health of Poor Resident
Bo He, Yunhua Wu
School of Economics and Management, Nanchang Institute of Science and Technology, Nanchang, China
Objective: The exclusivity of finance makes it difficult for the poor to access financial services. Therefore, digital inclusive finance can have a poverty alleviation effect. When examining the poverty alleviation efficiency of digital inclusive finance, existing research has overlooked the possible impact of financial exclusivity on residents' mental health and only uses macroeconomic indicators to measure the poverty alleviation efficiency of digital finance. This article studies the poverty alleviation efficiency of digital inclusive finance from the perspective of residents' mental health and examines the regulatory efficiency of the digital divide.
Methods: This paper takes 31 provinces in Chinese mainland as the research subjects and measures the moderating effect, mental health level, susceptibility to poverty and the degree of digital divide through econometric models. On this basis, this paper examines the poverty alleviation effect of digital inclusive finance, the moderating effect of the digital divide, and the relationship between digital inclusive finance and the mental health of residents.
Results: The experimental results show that: (1) Family health status, employment status, dependency ratio, per capita income level and cash deposit level have a negative relationship with family poverty vulnerability. (2) There is a positive relationship between the average family age and poverty vulnerability. (3) There is a negative relationship between the digital divide and digital inclusive finance. (4) There is a positive relationship between poverty vulnerability and residents' mental health. And the above-mentioned relationship is at least significant at the 10% statistical level.
Conclusion: (1) The development of digital financial inclusion has a significant negative effect on the vulnerability to poverty. (2) The digital divide significantly weakens the mitigation effect of digital financial inclusion on poverty vulnerability. (3) The digital divide has a huge impact on families' mental health by affecting financial inclusion.
#104
Psychological Mechanisms Underlying Coal Miners’ Protective Behavior Decisions in Response to Coexisting Mineral Interference in RCS Detection
Zheng Zhao
CCTEG Chongqing Research Institute, Chongqing, China
Objective: Pneumoconiosis accounts for more than 90% of occupational diseases in China, and coal workers’ pneumoconiosis represents approximately 60% of all cases. Respirable crystalline silica (RCS) is the primary etiological agent, making rapid and accurate detection essential for occupational disease prevention. However, coexisting minerals in coal dust, such as kaolinite, illite, montmorillonite, and mica, often overlap with the characteristic infrared absorption peaks of RCS, resulting in detection bias, particularly false-negative bias. Based on protection motivation theory and risk perception theory, this study investigates how detection bias influences miners’ protective behavioral decisions through cognitive pathways.
Methods: A two-stage design consisting of “detection bias characterization + miner behavioral experiment” was adopted. In the first stage, mixed samples containing RCS and coexisting minerals at different ratios were prepared. Fourier transform infrared spectroscopy was used to measure deviations in the 800 cm-1 characteristic peak, and a detection error function under mineral interference was established. In the second stage, 120 underground miners from a coal mine were randomly assigned to four groups: no-interference, false-negative, false-positive, and fluctuating-report groups. Different detection reports were presented to the participants. Risk perception, protection motivation, and system trust were assessed using Likert-scale questionnaires. Mask-wearing intention was recorded through a behavioral choice task, and eye-tracking was used to analyze attentional allocation. A structural equation model was constructed to test the pathway from detection bias to behavioral intention through cognitive mediators.
Results: Coexisting minerals significantly interfered with the RCS characteristic peak. When the content of coexisting minerals reached 30%, the detection error increased to -12.3% to +15.6%, and the probability of false-negative results rose markedly. Compared with the no-interference group, the false-negative group showed significantly lower risk perception (p<0.01), and the proportion of participants choosing to wear a mask throughout the task was only 15.0%, much lower than 67.5% in the no-interference group (p<0.001). The fluctuating-report group showed the lowest system trust score (2.1/5). Eye-tracking results indicated that participants in the false-negative group fixated longer on the word “qualified” while paying insufficient attention to risk warnings, suggesting the formation of a false sense of safety. The structural equation model showed that detection bias affected protective behavior through both risk perception and protection motivation, with the total indirect effect accounting for 68.7%.
Conclusion: Detection bias in RCS measurement induced by coexisting minerals is not only a technical issue but also has significant psychological consequences. False-negative results reduce risk perception and weaken protective intention, whereas uncertainty in detection undermines trust in the technical system and impairs risk communication. This study reveals the mechanism linking “technical error” to “cognitive bias” and ultimately to “protective behavior.” The findings suggest that detection reports should include error ranges, risk warnings should be added for sites with high levels of coexisting minerals, and behavioral nudging strategies should be adopted to improve occupational health protection.
Acknowledgements: This work was supported by the CCTEG International Cooperation Project (funding number: 2023-2-TD-KJHZ004).
#105
The Effectiveness of Rural Collective Business Land Entering the Market: A Theoretical Study Based on Satisfaction
Weile Li
School of Law and Society, Shangqiu Normal University, Shangqiu, China
Objective: The entry of rural collective business land into the market is an important support point for China's rural revitalization strategy and has long been a focus of research for policymakers and scholars. However, the existing research basically studies the effectiveness of the reform of rural collective business land entering the market from the perspectives of legal theory and economic performance, while ignoring the satisfaction of the service objects of the policy. If the recipients of the service cannot benefit from the policy, they will not be satisfied with it, the effectiveness of the policy will be questioned, and the policy will not be sustainable. In view of this, this paper studies the effectiveness of the reform of rural collective business land entering the market from two perspectives: legal theory and rural residents' satisfaction. This research broadens the perspective of academic research and provides a reference for government decision-making.
Methods: This paper takes 13 typical policy samples from the entry of collectively-owned business land into the market in 33 reform pilot counties (districts and cities) across the country since 2015 and their implementation as the research objects, and examines the effectiveness of the reform of the entry of rural collectively-owned business land into the market from the perspectives of legal theory and the satisfaction of farmers and residents. Based on the policy documents of each pilot project and the reports on the implementation of market entry, samples were obtained. This paper constructs a model to analyze the coupling effect between the entry of rural collective business land into the market and legal principles, as well as its impact on the satisfaction.
Results: (1) Firstly, there are significant policy differences in the coupling effect between the entry of rural collective business construction land into the market and legal theory. The more policy aligns with the fundamental values of legal principles, the higher the degree of coupling; conversely, the degree of coupling is lower. Second, the increase in the coupling degree between the entry of rural collective business construction land into the market and its legal basic value has a distinct time effect. (3) Under the circumstances where the pilot market entry policy is a mechanism variable, the coupling effect between the market entry situation of rural collective business construction land and legal principles has had a current impact on the satisfaction of rural residents.
Conclusion: (1) The coupling effect between the entry of rural collective business land into the market and legal principles has steadily increased, playing a positive role in rural revitalization. (2) Although the coupling effect of the policy and legal principles for the entry of rural collective business land into the market has been continuously optimized, its impact on the satisfaction of rural residents is not significant. (3) The main reason why the entry of rural collective business land into the market does not significantly represent residents' satisfaction is that it pays more attention to policy indicators while neglecting factors such as farmers' sense of gain.
#106
Research on the Application of Artificial Intelligence Technology in the Narration of Psychological Suspense Films and the Improvement of Narrative Tension
Xiaobin He
Chongqing vocational college of media, Chongqing, China
Objective: Psychological suspense films, as a genre centered on intricate narrative structures and audience emotional engagement, typically employ meticulously crafted plot arrangements and character psychology to create a tense and uncertain viewing experience. In recent years, the application of artificial intelligence technology in film production has become increasingly widespread, emerging as a pivotal force driving the transformation of the film industry. From scriptwriting to post-production, AI technology is gradually permeating every stage of film production.
Methods: The application of artificial intelligence technology in film scriptwriting has introduced new possibilities for the narrative design of psychological suspense films. Through natural language processing (NLP) and machine learning algorithms, AI can analyze the structure of a vast number of existing scripts, identifying narrative patterns and plot frameworks from successful works. For instance, AI can extract key elements such as suspense setup, plot twists, and character development by deep learning script data from classic psychological suspense films, then apply these insights to the creation and refinement of new scripts. Additionally, AI can assist screenwriters in designing more complex and compelling character profiles by predicting character behavior.
Results: The application of artificial intelligence technology in the narrative of psychological suspense films demonstrates its multidimensional influence and potential. Firstly, during the scriptwriting stage, AI algorithms can deeply analyze script structures through data analysis and pattern recognition, predict character behavior and plot development directions, thereby providing screenwriters with more compelling narrative frameworks and plot designs. Secondly, in the shooting and editing stages, AI technology enhances the film's narrative effect and suspense atmosphere through scene selection, cinematography techniques, and editing rhythm control.
Conclusion: AI technology has significantly improved narrative tension by accurately grasping the audience's psychology. In terms of suspense setting, AI utilizes big data analysis to accurately layout suspense points and guide audience emotions; In terms of rhythm control, intelligently adjust the narrative rhythm to maintain audience attention; At the emotional guidance level, the intelligent combination of music, sound effects, and color elements enhances the emotional resonance of the film. It can be seen that artificial intelligence technology not only optimizes the traditional film production process, but also provides strong technical support for narrative innovation in psychological suspense films.
Acknowledgements: 2025 Chongqing Higher Vocational Education Research Project “Research on Database Modeling of the Impact of Artificial Intelligence on the Film and Television Industry” (Project No. GZY2025027).
#107
Digital Spatial Reconstruction and Elderly Care Innovation in Smart Cities: Impacts on Service Efficiency and Psychological Well-Being
Xiao Sun
School of Business Queen Mary University of London, London, UK
Objective: Against the backdrop of rapid urban aging and accelerating smart city development, this study aims to examine how digital transformation reshapes elderly care service systems. By integrating the Technology–Organization–Environment (TOE) framework with Spatial Production Theory, the research specifically explores how digitally enabled spatial reconstruction influences service delivery, user adoption, and the psychological well-being of older adults.
Methods: A mixed-methods approach was adopted, combining qualitative and quantitative analyses. Three major Chinese cities—Shanghai, Hangzhou, and Shenzhen—were selected as representative cases. Data were collected through 24 semi-structured interviews with policymakers, service providers, and technology developers, alongside a large-scale survey of 1,200 elderly residents. Structural equation modeling (SEM) was employed to test the relationships among technological infrastructure, spatial perception, service utilization, and mental health outcomes.
Results: The findings reveal that digital transformation facilitates a multidimensional reconstruction of urban elderly care spaces, including the digitalization of domestic environments, virtualization of social interactions, and de-territorialization of service provision. These transformations significantly improve service efficiency, with emergency response times increasing by 72.7%. Moreover, spatial perception emerges as a key mediating variable linking technology accessibility to service adoption. Importantly, enhanced digital connectivity contributes positively to psychological well-being by reducing loneliness and improving perceived social support. However, a persistent digital divide and age-related disparities in technology acceptance limit these benefits for certain subgroups, potentially exacerbating anxiety and exclusion among less digitally literate elderly populations.
Conclusion: The study concludes that effective elderly care innovation in smart cities requires a paradigm shift from reactive, monitoring-based systems to proactive, space-integrated service models that simultaneously address physical and psychological needs. Policymakers should prioritize inclusive digital infrastructure, user-centered design, and targeted digital literacy interventions to bridge the digital divide. Balancing technological efficiency with individual autonomy and mental well-being is essential for fostering an equitable and age-friendly smart urban environment.
#108
The Impact of the “Lecture-Competition-Practice-Drill” Program on Psychological Adjustment among Engineering Undergraduates in Western China: The Mediating Role of Social Support
Youping Xiao1, Quanxi Chen2, Bo Liu2
1Secretary of the Communist Youth League Committee of Southwest Petroluem University, Chengdu, China
2School of Economics and Management, Southwest Petroleum University, Chengdu, China
Objective: In the context of engineering education reform, the psychological adaptation of undergraduates in engineering universities is contingent upon the dual influence of environmental resources and educational paradigms, with social support serving as a critical buffer against stress. The “Lecture-Competition-Practice-Drill” (LCPD) program—a comprehensive practical education model unique to universities in Western China—is recognized for its effectiveness in enhancing student competencies. However, its underlying mechanisms regarding psychological adaptation remain unclear. This study aims to investigate how engagement in LCPD activities influences the psychological adaptation of undergraduates in engineering universities in Western China through the mediating role of social support, thereby providing theoretical and empirical evidence for the development of co-curricular programs and psychological interventions in higher education.
Methods: A total of 1,844 undergraduates from a science and engineering university in Western China were recruited as study participants. Based on substantive engagement in LCPD activities, the sample was stratified into a participation group (
) and a non-participation group (
). Instruments included a self-developed activity engagement questionnaire, the Multidimensional Scale of Perceived Social Support (MSPSS), and a psychological adaptation scale assessing resilience and sense of belonging. All data were collected in a controlled, anonymous environment.
coefficients for all scales exceeded 0.90, ensuring robust reliability and validity. Data analysis employed SPSS 26.0 for descriptive statistics and difference testing, while AMOS was utilized to construct a structural equation model (SEM). The Bootstrap method was applied to examine the mediating effect of social support.
Results: Independent samples t-tests and path analysis revealed significant relationships among LCPD engagement, social support acquisition, and psychological adaptation. The participation group scored significantly higher than the non-participation group in both psychological adaptation (
) and social support (
) (
). Regression analysis indicated that activity engagement significantly and positively predicted social support (
), while social support exerted a potent positive influence on psychological adaptation (
), suggesting that students with established social connections are more effective in maintaining psychological resilience. Notably, upon introducing the social support variable, the direct impact of activity engagement on psychological adaptation became negligible and non-significant (
), indicating that social support played a fully mediating role. Validated via the Bootstrap method (5,000 resamples), the confidence interval for this mediation effect excluded zero. The model accounted for 87.3% of the variance in psychological adaptation (
), identifying social support as the core predictor variable.
Conclusion: This study demonstrates that the LCPD program exerts a significant positive effect on the psychological adaptation of undergraduates in engineering universities in Western China, with social support acting as a full mediator. The findings suggest that the enhancement of adaptation stems not directly from activity participation essence, but from the social support networks constructed through high-frequency interactions. This underscores the critical value of “building resilience through connection,” particularly in resource-constrained Western universities, where organized activities that strengthen team collaboration and student-faculty bonds are vital for fostering psychological adaptation.
#109
Research on Ceramic Art Design Based on Consumer Psychological Needs
Yuzhou Wu
School of Art and Design, Huaiyin Institute of Technology, Huai'an, China
Objective: This research plan aims to apply relevant theories of consumer psychology to systematically analyze the psychological needs and characteristics exhibited by consumers when choosing and using ceramic artworks, mainly including aesthetic needs, emotional needs, functional needs, and consumption motivations, in order to illustrate the mutual influence relationship between ceramic art design and consumer psychology.
Methods: In the qualitative research section, in-depth interviews were conducted with 25 ceramic art consumers, including collectors, gift buyers, and daily users of different categories; At the same time, 10 ceramic designers and 8 industry practitioners were also interviewed. In addition, a total of 3 focus group discussions were organized, with 6 to 8 consumers in each group, mainly discussing topics such as “factors of concern in ceramic purchasing decisions” and “the importance of design elements”. In the quantitative research stage, a “Ceramic Art Consumer Psychological Needs Questionnaire” was distributed to ceramic art consumers aged 18 to 60 nationwide. A total of 1000 valid questionnaires were collected, with a valid sample collection rate of 93.5%. The questionnaire used a self-designed multidimensional scale, mainly including aesthetic needs dimension, emotional needs dimension, functional needs dimension, consumption motivation dimension, etc.
Results: Firstly, the demand for aesthetics and culture is most prominent. 72.3% of people are willing to accept designs that modernize classic traditional patterns; Meanwhile, 65.1% of consumers prefer innovative styles with simple geometric shapes. 78.6% of consumers prefer works with auspicious meanings or products with obvious local cultural characteristics. Secondly, the demand for emotions and experiences is becoming increasingly evident. 63.2% of consumers hope to obtain emotional support through ceramic artworks. In addition, 41.5% of consumers value interactive experience. Again, the functionality and personalized requirements are different. For ceramic products used in daily life, consumers value practical performance the most, such as easy cleaning and high temperature resistance, accounting for 89.7% of the demand. Among young consumers, especially those aged 18 to 35, 71.4% are highly receptive to personalized design. Finally, consumer motivation also varies significantly in different scenarios. The data shows that the reasons for purchasing ceramic art, in descending order of proportion, are: home decoration (42.1%), cultural collection (28.6%), gift giving (19.3%), and daily use (10%).
Conclusion: In the process of ceramic art design, the psychological needs of consumers should always be placed at the center. Only by accurately understanding the purchasing motivations of different groups of people can we help products achieve differentiated innovation. For example, for groups that value cultural collections, design needs to emphasize the classic sense of traditional aesthetic elements while highlighting the artistic scarcity of the works. For daily use consumers, it is necessary to consider both aesthetic value and practical functionality, and design product structures that are easy to clean. The young consumer market usually values personality expression and participation experience more, so personalized customization services can be provided, and digital twins and other technologies can be used to allow users to see the finished product effect in advance, thereby increasing their sense of participation in creation. In the context of gift consumption, design should focus on the function of emotional transmission.
#110
Neuroaesthetics in Human-Computer Interaction Design: An Integrated Study of Psychology and Neuroscience
Tianyao Hua
University of Nottingham, School of Computer Science, Nottingham, UK
Objective: This research explores human-computer interaction (HCI) design from a neuroaesthetic perspective, integrating insights from psychology and neuroscience to understand how aesthetic elements in HCI can influence user experience and cognitive processes. Neuroaesthetics, a burgeoning field examining the neural correlates of aesthetic perception, provides a novel approach to HCI design. This study aims to elucidate the impact of design aesthetics on user interaction, satisfaction, and cognitive engagement in digital interfaces.
Methods: The study employs an interdisciplinary methodology, combining psychological experiments and neuroimaging techniques. Psychological assessments involve user experience surveys and cognitive task performance measures in different HCI designs. Simultaneously, neuroimaging methods, such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG), are used to observe neural activity and patterns associated with aesthetic perception and cognitive processing in HCI. The research sample includes participants interacting with various HCI designs, incorporating elements of neuroaesthetics.
Results: Preliminary findings suggest that HCI designs incorporating neuroaesthetic principles enhance user satisfaction and cognitive engagement. Psychological assessments indicate increased usability and positive emotional responses to aesthetically pleasing interfaces. Neuroimaging results reveal that certain aesthetic features in HCI elicit specific neural responses linked to pleasure, attention, and memory. These features include color harmony, symmetry, and simplicity. The study also finds that neuroaesthetic HCI designs can facilitate cognitive processes, such as problem-solving and decision-making, by optimizing visual complexity and information presentation.
Conclusion: The integration of neuroaesthetics in HCI design offers significant benefits in enhancing user experience and cognitive engagement. The study highlights the importance of considering psychological and neural responses to aesthetic elements in digital interfaces. It advocates for a user-centered design approach that incorporates neuroaesthetic principles to improve the effectiveness and appeal of HCI systems. The findings provide valuable insights for designers and developers, emphasizing the role of aesthetics in creating more intuitive, satisfying, and cognitively engaging digital experiences.
#111
A Study on the Transformation of Talent Cultivation Models in Vocational Undergraduate Education in the Digital Era: Focusing on Learning Motivation and Mental Health Based on Self-Determination Theory
Huanyang Jin
Wenzhou Polytechnic, Wenzhou, China
Objective: Amid the digital age, vocational undergraduate education bears the responsibility of fostering high-level technical and skilled talents, yet it is confronted with practical predicaments such as inadequate student learning motivation and prominent mental health problems. Establishing a talent cultivation model that can effectively arouse students’ learning enthusiasm and provide comprehensive support for their mental health has become a key focus in advancing the high-quality development of vocational undergraduate education.
Methods: Adopting a mixed-methods approach combining literature review and questionnaire survey, this study delves into the transformation of talent cultivation models in vocational undergraduate education from the theoretical lens of Self-Determination Theory (SDT). SDT highlights that the satisfaction of three basic psychological needs—autonomy, competence, and relatedness—serves as the core mechanism to motivate students and enhance their mental health, which lays a solid theoretical groundwork for the present research.
Results: The research findings indicate that the current talent cultivation models have various defects, including ambiguous orientation of cultivation objectives, inflexible curriculum design, a serious disconnect between theoretical teaching and practical application, insufficient digital literacy of teachers, and overly simplistic evaluation methods. These problems not only impede the alignment of talent cultivation with the requirements of job positions in the digital era but also fail to meet students’ basic psychological needs, thereby undermining their intrinsic learning motivation and increasing the risks of mental health issues such as anxiety and sense of alienation. To address these challenges, the study puts forward a five-dimensional transformation pathway: reorienting cultivation objectives towards “digital integration and innovation” to improve students’ autonomy; aligning curricula closely with industrial demands to enhance their competence and self-efficacy; adopting a “school-enterprise cooperation, student-oriented” teaching model to strengthen students’ social connections and sense of belonging; building a team of “dual-qualified teachers” equipped with both digital skills and psychological support capabilities; and establishing a process-oriented and personalized evaluation system to alleviate evaluation anxiety and promote the development of positive psychological traits.
Conclusion: By fully integrating digital technology into all links of talent cultivation, focusing on students’ mental health, and stimulating their learning motivation, we can systematically improve the quality of talent development in vocational undergraduate education under the context of digital transformation. Ultimately, this will help cultivate high-quality technical and skilled talents who possess proficient professional skills, sound personalities, and the motivation for sustainable development.
Acknowledgements: The research was supported by Funding Project: The First Batch of Teaching Reform Projects of Zhejiang Province's “14th Five-Year Plan” for Higher Vocational Education: “Research on the Innovation of Talent Cultivation Models in Vocational Undergraduate Education under the Context of Digital Transformation” (jg20230062).
#112
A Psychological Strategy Analysis for Alleviating Anxiety Among Enterprise Management Decision-Makers in the Context of Big Data
Chujia Liu
Department of Economics and Management, Zhangjiajie University, Zhangjiajie, China
Objective: Cognitive biases arising from internal and external factors can adversely affect corporate strategic decision-making. Extensive research has demonstrated the ubiquity of such biases in organizational contexts. Drawing on individual decision theory and social cognition theory, this study systematically categorizes common cognitive biases in organizational decision-making. These include framing effects in information processing, self-optimism bias, attribution bias, group decision-making biases, groupthink during implementation, as well as overconfidence and illusion of control. By integrating these biases with the context of enterprise management in China, this study aims to identify their psychological mechanisms and underlying causes in the era of big data.
Methods: This study explores psychological correction strategies for cognitive biases among enterprise managers. It identifies both internal factors (e.g., emotional states, cognitive tendencies) and external influences (e.g., organizational culture, social context) contributing to biased decision-making. Using big data analysis, the research examines how biases such as framing effects, self-optimism, self-attribution, group selection bias, groupthink, overconfidence, and illusion of control emerge and interact. The study further proposes targeted interventions to mitigate these biases and improve managerial decision-making processes.
Results: Findings indicate that cognitive biases are prevalent among enterprise managers and significantly influence decision quality. Key drivers include individual psychological traits, environmental pressures, and their interaction. Three categories of corrective strategies are proposed: improving individual information processing, optimizing group decision-making mechanisms, and refining collective implementation processes. Big data analysis reveals that biases such as framing effects, self-optimism, attribution bias, group decision bias, groupthink, overconfidence, and illusion of control can lead to systematic decision errors. The proposed interventions effectively address these distortions by enhancing awareness and promoting more rational decision-making.
Conclusion: Based on behavioral psychology and cognitive neuroscience, this study highlights the importance of integrating bias-correction strategies into digital transformation processes. AI-driven approaches—including self-awareness training, critical thinking, multi-perspective analysis, data-driven decision-making, delayed judgment, and reverse thinking—can effectively reduce cognitive biases. Additionally, optimizing organizational decision rules and procedures helps mitigate systemic distortions. By leveraging big data and intelligent algorithms to simulate complex environments, enterprises can significantly improve decision accuracy and effectiveness, ultimately enhancing strategic management outcomes.
Acknowledgements: This work was supported by a project grant from Zhangjiajie Social Project (2024.7).
#113
The content screening and teaching psychological path design of the integration of Chinese excellent traditional legal culture into the ideological and political teaching of law
Jianhua Tong
School of Humanities and Law, Jiaxing University Jiaxing, China
Objective: As a local resource, the excellent traditional legal culture of China contains rich ideological wisdom and practical experience, providing a profound cultural foundation for the teaching of legal ideology and politics. Integrating excellent traditional legal culture into ideological and political education in law can not only enrich the course content, but also help students better understand the cultural logic and value connotations behind the law, thereby enhancing their ideological height and action consciousness in the construction of the rule of law. In this process, content screening and teaching psychological path design become key links.
Methods: To verify the effectiveness of content screening and teaching psychological path design for integrating excellent traditional Chinese legal culture into ideological and political education in law, this study adopts empirical research methods and focuses on undergraduate law students from a certain university. The study selected two parallel classes as the experimental group and the control group. The experimental group received curriculum teaching based on content screening and teaching psychological path design, while the control group used traditional teaching mode. The research methods mainly include questionnaire surveys, classroom observations, and semi-structured interviews. The questionnaire survey aims to understand students' cognitive level, learning interest, and emotional identification with traditional legal culture; Classroom observation is used to record students' participation and interactive performance in the classroom; Semi structured interviews further explore students' actual feelings and suggestions regarding teaching content and psychological path design
Results: Based on empirical research results, this study systematically evaluated the effectiveness of content screening and teaching psychological path design. From the perspective of designing teaching psychological paths, teaching strategies based on students' psychological characteristics, such as stimulating interest and guiding exploration, significantly enhance students' learning initiative and classroom participation.
Conclusion: In the design of teaching psychological paths, based on the psychological characteristics of law students, students should be guided to actively explore through methods such as stimulating interest, case teaching, and situational simulation. At the same time, psychological guidance strategies such as encouragement and feedback should be used to enhance teaching effectiveness. This integration method can effectively improve the quality of ideological and political education in law, help students establish correct legal concepts, and enhance their confidence in legal culture.
#114
The Impact of Public Sustainable Building Design on the Environment and Urban Residents' Mental Health
Fei Pan
Manchester School of Architecture, Manchester Metropolitan University, Manchester, UK
Objective: This study aims to explore the impact of public sustainable building design on both environmental quality and the mental health of urban residents. By examining sustainable architectural practices and their psychological effects, the study seeks to provide insights into how eco-friendly design can enhance urban living environments and promote well-being.
Methods: A mixed-methods approach was used, combining quantitative environmental assessments with surveys and interviews to gauge residents' psychological responses to sustainable building designs. Environmental data on air quality, noise reduction, and green space integration were collected from various sustainable public buildings. Additionally, surveys measuring psychological well-being, stress levels, and perceived quality of life were administered to residents living near these buildings. Interviews with architects and urban planners were also conducted to understand design intentions and anticipated impacts on mental health.
Results: Findings indicate that public sustainable building designs contribute to improved environmental conditions, such as better air quality and increased greenery, which in turn positively influence residents' mental health. Residents living near sustainable buildings reported lower stress levels, enhanced mood, and a greater sense of connection to nature. The integration of natural elements and energy-efficient designs was particularly effective in fostering a sense of calm and reducing urban stress.
Conclusion: Public sustainable building design has a significant positive impact on both environmental quality and the mental health of urban residents. By promoting eco-friendly practices that prioritize natural elements and resource efficiency, sustainable architecture can serve as a vital component in urban mental health strategies. Future research should explore long-term psychological outcomes and consider additional variables, such as community engagement and socio-economic factors, to deepen the understanding of how sustainable building design influences well-being in urban populations.
#115
An Empirical Study on the Influence of Music on Tourists' Psychological Experience
Jing Yu1, Wenyan Chen2
1Economics and Management College, Hainan Vocational University, Haikou, China
2Tourism College, Hainan Vocational University, Haikou, China
Objective: Music functions as both an emotional medium and a cultural carrier within the tourism experience. As a non-verbal semiotic system, it's melodic, rhythmic, and stylistic elements have the capacity to directly modulate tourists' emotional states, guide attentional processes, and shape situational awareness. This, in turn, facilitates their aesthetic engagement with and emotional integration into local culture, thereby contributing to a more layered and psychologically immersive travel experience. For instance, fast-paced musical compositions can rapidly elevate tourists' arousal levels, encouraging more active participation in tourism-related activities. In contrast, soothing and melodious tunes promote physical and psychological relaxation, enabling a more contemplative and leisurely immersion in the surrounding environment. Furthermore, musically distinctive styles can evoke deep-seated cultural identity, enhance tourists' interpretive understanding of the destination, and ultimately enrich the overall psychological dimension of the tourism experience.
Methods: In this study, a questionnaire survey was employed to systematically examine the influence of music on tourists' psychological experiences. Well-structured questionnaires were designed and administered to collect data pertaining to tourists' psychological responses following exposure to various types of music during their travels. The collected data were subsequently analyzed to assess how specific musical elements—namely melody, rhythm, and style—affect key psychological dimensions, including emotional state, cognitive appraisal, emotional engagement, level of immersion, and behavioral intention.
Results: The research results show that: 1. Melody in scenic area music exhibits a statistically significant positive correlation with tourists' overall psychological experience. 2. Musical rhythm is positively correlated with tourists' emotional state, cognitive appraisal, emotional engagement, and degree of immersion, yet it shows a negative correlation with the dimension of behavioral intention. 3. Music style demonstrates a consistently positive correlation with all measured dimensions of tourists' psychological experience.
Conclusion: Finally, based on the analytical findings, several targeted recommendations are proposed to address the identified challenges. These include enhancing music–landscape compatibility within scenic areas to optimize the overall tourism experience, comprehensively accounting for the diverse psychological needs of tourists to foster a harmonious travel atmosphere, and establishing standardized guidelines for the use of music to improve the quality of the acoustic environment in tourist destinations. These suggestions aim to provide a scientific reference for the tourism industry and related sectors seeking to leverage music as a means of enriching tourist experiences and increasing satisfaction.
Acknowledgments: This work was supported by a project grant from 2026 Hainan Provincial Higher Education Scientific Research Funding Project “Research on Innovative Protection and Inheritance Paths of Hainan Bayin under the Background of Free Trade Port Construction” (Grant No. Hnky2026ZC-31).
#116
The Impact of Managerial Overconfidence on Financial Investment Preference in the Context of Digital Transformation
Qiongying Feng, Dongxiao He
College of Economical management, Guangdong University of Petrochemical Technology, Maoming, China
Objective: In the context of widespread digital transformation within enterprises, managerial overconfidence, as a key behavioral bias, may significantly influence corporate financial investment decisions. This study aims to empirically examine the impact of managerial overconfidence on financial investment preferences, and further explore the moderating role of digital transformation in this relationship.
Methods: Based on a sample of A-share listed companies in China from 2015 to 2023, this research constructs a comprehensive index to measure the degree of corporate digital transformation using text analysis of annual reports. Managerial overconfidence is proxied by the relative excess compensation of executives. A fixed-effects panel data model is employed to test the hypotheses, with robustness checks conducted using alternative variable measurements and model specifications.
Results: The findings indicate that: (1) Managerial overconfidence has a significantly positive effect on a firm's preference for financial investments (such as holdings of financial assets), leading to a “shift from real to virtual” in the allocation of corporate resources. (2) The level of digital transformation strengthens the positive relationship between managerial overconfidence and financial investment preference. (3) Further analysis reveals that the above effects are more pronounced in non-state-owned enterprises and in firms facing higher industry competition.
Conclusion: This study confirms that managerial overconfidence is an important driver of corporate financialization, and digital transformation acts as an accelerator in this process. The research highlights the potential risks of digital transformation exacerbating decision-making biases, offering new insights for corporate governance and regulatory guidance on the healthy development of the digital economy.
Acknowledgements: This work was supported by the Doctor initiation project of Guangdong University of Petrochemical Technology “Research on the Impact of Managerial Ability on Corporate Financialization” (2023bsqd011); and Doctor initiation project of Guangdong University of Petrochemical Technology “Study on the impact of scuba diving experience on tourist responsible environmental behavior in habitual residence vs. tourist destination contexts.” (2022bsqd2012).
#117
Research on the driving mechanism and action path of teachers’ technology adoption behavior and psychological perception in the context of artificial intelligence integrated teaching transformation
Jing Xue
Shenyang City University, Liaoning, China
Objective: This study aims to reveal the driving mechanisms and pathways of teachers' technology adoption behavior and psychological perception in the context of artificial intelligence integrated teaching transformation, in order to provide theoretical basis and practical guidance for promoting teachers' technology adoption in intelligent education environments. Specifically, the study will focus on the psychological perception state of teachers when facing new technologies, such as the impact of factors such as technology anxiety and self-efficacy on their technology adoption decisions, and analyze how these psychological factors indirectly affect technology adoption behavior through mediating variables
Methods: This study adopts empirical research methods, aiming to reveal the driving mechanisms and pathways of teachers' technology adoption behavior and psychological perception in the context of artificial intelligence integrated teaching transformation through systematic data collection and analysis. The overall idea of the research design is based on the philosophy framework of the human technology relationship, combined with the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), to comprehensively analyze the impact of teachers' psychological perception on their technology adoption behavior when facing new technologies
Results: This study enriches and develops the relevant theoretical framework of teacher technology adoption behavior, especially in the context of AI integrated teaching, providing a new analytical dimension for subsequent research. From a practical perspective, the research findings provide important insights for education managers and policy makers. For example, by focusing on teachers' psychological perception and technological adaptability, it can effectively alleviate the phenomenon of technological alienation and promote the deep integration of technology and teaching
Conclusion: The process of teachers' technological adaptation is influenced by various factors, including technological characteristics, organizational support, and individual psychological perception. Therefore, exploring the behavioral patterns and psychological driving mechanisms of teacher technology adoption in the context of artificial intelligence integrated teaching transformation is not only an urgent need to respond to educational changes in the intelligent era, but also a key to improving the quality and efficiency of education.
#118
Navigating Overlapping Security Mandates: Organizational Strain and Psychological Health Risks among Cross-Border Police Officers in East Asia: An Investigation into China and Adjacent Countries
Mingyue Xu
1,2
1School of Public Order and Safety, People's Public Security University of China, Beijing, China
2Fudan Development Institute, Fudan University, Shanghai, China
Objective: The rapid expansion of transnational policing arrangements in Asia has produced increasingly layered governance environments in which law enforcement officers operate under overlapping rules, mandates, and coordination expectations. Such environments reshape not only institutional performance but also the psychological conditions under which officers perform cross-border duties. Persistent exposure to multi-source coordination demands may intensify role confusion, occupational pressure, emotional fatigue, and anxiety. This study explores how governance overlap within regional policing arrangements involving China and adjacent countries relates to variations in officer stress, burnout tendencies, and overall psychological well-being.
Methods: A mixed analytical strategy was adopted, integrating network mapping, quantitative synthesis, and structural equation modeling. Secondary evidence was drawn from 35 peer-reviewed studies on international policing and security governance published between 2020 and 2024. Governance complexity was assessed along three dimensions: procedural coherence, convergence of strategic priorities, and density of supporting actors. Publication bias was examined using funnel plot techniques, while network analysis was applied to identify patterns of coordination centrality across regional policing platforms. The structural model incorporated indicators of psychological strain, including role tension, coordination-related anxiety, and burnout symptoms among law enforcement personnel engaged in cross-border operations.
Results: Quantitative synthesis revealed a moderate aggregate level of coordination performance (effect size = 0.45, 95% CI: 0.38–0.52), accompanied by substantial heterogeneity across institutional contexts (I2 = 68.5%) and evidence of moderate publication bias (Egger test: β0 = 0.15, p = 0.042). Network mapping indicated that certain regional platforms exhibited higher structural coherence, with the Shanghai Cooperation Organization displaying the greatest coordination centrality (0.82), followed by ASEAN+3 arrangements (0.68). The structural equation model accounted for 62% of the variance in coordination outcomes (χ2/df = 2.34, CFI = 0.95, RMSEA = 0.068). Governance dispersion was found to significantly undermine coordination capacity (β = −0.56, p < 0.001) and overall operational outcomes (β = −0.41, p < 0.001), while simultaneously elevating stress exposure (β = 0.48, p < 0.001) and burnout risk (β = 0.39, p < 0.01) among officers. Longitudinal trends from 2010 to 2024 indicate growing governance overlap alongside gradual reductions in coordination deficits, corresponding with modest improvements in reported occupational stress and psychological health indicators.
Conclusion: The findings suggest that the organizational architecture of regional policing arrangements constitutes a significant psychosocial factor shaping law enforcement well-being. Although differentiated institutional pathways may facilitate functional specialization, excessive governance dispersion shifts coordination burdens onto individual officers, amplifying stress and emotional exhaustion. Enhancing integrative coordination mechanisms may therefore improve not only operational alignment but also the psychological sustainability of cross-border policing work.
#119
Research on the adaptation of employability improvement path and career planning from the perspective of college students’ psychological resilience under digital transformation
Lan Zhang
Sichuan University of Culture and Arts, Mianyang, China
Objective: The increasing uncertainty in the job market and intensified competition pressure have put enormous psychological pressure on college students during the job search process. Psychological resilience, as a positive psychological capital, can help individuals maintain a positive attitude and effectively cope with challenges in adversity, making its importance increasingly prominent in employment. Especially in the context of the current popularization of higher education, the number of college graduates is increasing year by year, and the employment situation is becoming increasingly severe. Psychological resilience has become one of the key factors affecting the quality of employment for college students.
Methods: This study adopts empirical research methods to explore the relationship between psychological resilience, employability, and career planning adaptation of college students under the background of digital transformation through data analysis and hypothesis testing.
Results: Psychological resilience, as an important psychological resource for individuals to cope with stress and adversity, can help college students better adapt to changes in the job market in the context of digital transformation. Specifically, psychological resilience enhances an individual's confidence, resilience, and problem-solving abilities, thereby improving their competitiveness in the job search process.
Conclusion: This study proposes effective paths to enhance employability from three levels: universities, college students themselves, and society. These strategies include conducting psychological resilience training, strengthening vocational cognitive education, and providing personalized career planning guidance. These paths and strategies not only help college students better adapt to the employment challenges brought by digital transformation, but also provide theoretical support and practical reference for employment guidance in universities.
#120
The Development of Traditional Aesthetic Thought and Aesthetic Psychology in Modern Art
He Qu
College of Arts, Hebei University, Baoding, China
Objective: By organizing the core concepts of traditional aesthetics and observing the characteristics of aesthetic psychology, this paper explores the changing process of these traditional elements in the contemporary art environment. At the same time, the study further illustrates the possibility and value of mutual communication between tradition and modernity, providing a theoretical basis for the localization and innovation of modern art.
Methods: This study uses literature review and case comparison methods. Specifically, the research process is divided into three steps: the first step is to systematically organize important works in traditional Chinese aesthetics, while collecting theoretical discussions from modern scholars on traditional aesthetic psychology, and summarizing important aesthetic concepts such as “unity of heaven and man”, “expressing spirit through form”, and “implicit implication”. The second step is to select typical modern art practices since the 20th century as analysis cases, including different types such as painting, installation art, and new media art; The focus is on observing how art creators transform traditional visual resources such as ink symbols, seal carving techniques, and folk crafts into contemporary creations, and paying attention to the audience's actual acceptance and aesthetic experience of these works. The third step is to compare these artistic practices with abstract expressions and minimalism in Western modernism from a cross-cultural perspective, analyze their differences, and demonstrate the unique path and internal logic of Chinese traditional aesthetics in the process of modern art transformation.
Results: In contemporary art practice, the development of traditional aesthetic ideas and aesthetic psychology presents three main directions. The first type is the implicit continuation of internal concepts: many artists decompose and transform traditional symbols, such as turning the “blank space” in landscape paintings into blank forms in installation art. In this way, abstract concepts such as “artistic conception” and “aura” are expressed through new media languages, thus maintaining their beauty and vitality. The second type is the empathetic activation of aesthetic psychology. The common forms of interactive installations and immersive exhibitions nowadays can actually be seen as contemporary manifestations of traditional aesthetic experiences such as “the fusion of things and me” and “the connection between mind and things”. The third type involves modern transformation of social functions. The ethical role of “cultivating morality and helping people's relationships” emphasized by traditional aesthetics, as well as the emotional function of pleasing the spirit and mind, are often transformed into implicit expressions of social issues in contemporary times. Artists discuss real-life issues such as ecological crisis and cultural identity through their works, while maintaining a deep connection with historical culture and responding to the specific needs of contemporary society.
Conclusion: Traditional aesthetics and aesthetic psychology not only do not hinder the development of modern art, but can also provide important innovative impetus for it. Through creative transformation, traditional aesthetics can bring unique visual expressions and deeper emotional connotations to modern art, especially in the context of globalization, which can enhance the self-expression of local culture. This type of research actually demonstrates in practice that there is no rupture between tradition and modernity, but rather a continuation and connection between them; At the same time, this also laid a theoretical foundation for establishing China's own contemporary art system.
#121
Quantifying Generative AI’s Competency in Comolex Affective Modeling: Emotional Fidelity in Cross-Lingual Literary Translation and Implications for Mental Health and Emotional Regulation
Haifeng Yan
1School of Foreign Languages, Shandong University of Political Science and Law, Jinan, China
Objective: This study quantifies the affective hermeneutic fidelity of state-of-the-art large language models (LLMs) through a cross-lingual stress-test paradigm, utilizing modern and contemporary Chinese poetry as an ecologically valid surrogate for high-stakes emotional discourse. This domain was selected for its semiotically dense encoding of culturally embedded, psychologically complex affects that parallel the nuanced expressivity encountered in therapeutic contexts.
Methods: A corpus of ten canonical poems—curated for maximal emotional heterogeneity, encompassing existential despair, silent mourning, and ontological anxiety—was translated into English via GPT-4 (API version, March 2025) and by expert human translators serving as the gold standard. Five bilingual annotators (TEM-8 certified) conducted fine-grained line-level emotion annotation utilizing the psychologically validated GoEmotions taxonomy, aggregated into four superordinate dimensions: positive, negative, neutral/cognitive, and complex affects (e.g., bēimǐn [compassionate sorrow], bittersweetness). Emotional Fidelity Scores (EFS) were computed as cosine similarities between source-text and translation emotion distribution vectors.
Results: Human translations exhibited significantly superior affective alignment (mean EFS = 0.89, SD = 0.07) compared to AI-generated outputs (mean EFS = 0.68, SD = 0.12; paired t(9) = −5.34, p < 0.001). While GPT-4 demonstrated adequate retention of basic emotions (retention rate >78%), it manifested critical deficits in complex affect preservation (41% retention vs. 86% for human translators). Systematic distortions were observed in culturally saturated lexical items pertaining to emotional regulation and moral distress, with the model exhibiting a propensity for affective flattening—specifically, the attenuation of emotional valence intensity and the misrepresentation of ethically grounded constructs (e.g., rendering bēimǐn as superficial “pity” rather than egalitarian compassionate sorrow).
Conclusion: Current generative AI exhibits profound limitations in modeling the multidimensional affective landscape requisite for authentic empathic engagement in mental health applications. The observed tendency toward surface-level affective mimicry—reducing nuanced, culturally embedded emotional states to monolithic, decontextualized categories—poses substantive clinical risks, including potential invalidation of patient experience in crisis intervention and anxiety management contexts. These findings underscore the exigency of psychology-informed AI architectures and rigorous cross-cultural affective validation protocols prior to deployment in emotionally sensitive ecosystems.
Acknowledgements: This work was supported by a project grant from Shandong Provincial Social Science Planning Special Project for Basic Theoretical Research in Humanities and Social Sciences (New Liberal Arts Applied Research): “Overseas Dissemination of Qilu Cultural Landscapes through English Translation of Classical Poetry” (Grant No. 24CRWJ47).
#122
Kinovea-GAI Collaborative Bionic Design and Application for the Movement of the Long-stalked Large Ground Beetle: From a Design Psychological Cognitive Perspective
ZhenHua Li, Yongzhan Liu
Beihang University, Beijing, China
Objective: This study explores the bionic design and application of Dynastes hercules motion based on the synergy of Kinovea motion capture and Generative Artificial Intelligence (GAI), with particular emphasis on a design psychological cognition perspective. The purpose is to accurately and efficiently extract insect motion characteristics, reveal the cognitive mechanism through which biological motion is perceived, interpreted, and translated into engineering structures, and provide an innovative methodological path for the bionic design of heavy equipment. In doing so, the study aims to address the long-standing engineering limitation of insufficient terrain adaptability in traditional heavy-duty equipment.
Methods: The research adopts Kinovea software to collect motion video data of Dynastes hercules under multiple representative terrain conditions. Through image calibration, key-point tracking, and kinematic analysis, a multidimensional motion-feature database is constructed. On this basis, a design logic of “perception–cognition–translation–generation” is introduced. Rather than treating motion capture data as purely technical input, the study emphasizes how designers cognitively process biological motion features, extract functional and structural cues, and transform them into design knowledge. Supported by the deep learning and content generation capabilities of GAI, the motion-feature database is used as a constraint framework to drive the intelligent generation and iterative optimization of bionic design schemes for heavy equipment.
Results: The results show that multi-scenario data fusion makes it possible to obtain multidimensional motion parameters of Dynastes hercules and convert them into engineering expressions with both functional and aesthetic value. The generated schemes demonstrate modularity, structural strength, and improved adaptability to complex terrain, confirming the practicality and effectiveness of the proposed method. More importantly, from the perspective of design psychological cognition, the process reveals that motion-feature extraction is not merely a mechanical conversion of data, but also a cognitive reconstruction process in which designers identify, interpret, and reframe biological movement patterns into engineering solutions.
Conclusion: It is concluded that the synergistic application of Kinovea motion capture and GAI can significantly improve the efficiency and precision of bionic design. At the same time, by incorporating psychological cognition into the design framework, the study establishes a cross-domain pathway of “motion feature extraction–cognitive processing–engineering generation.” This not only expands the application boundary of motion capture and artificial intelligence in heavy equipment design, but also provides a theoretical reference and practical paradigm for the cognitive and intelligent development of bionic design.
#123
The Role of Professional Identity in Shaping Career Intentions: A Psychological Perspective on Hospitality Students in Vocational Colleges
Li Xing
Department of Tourism Management, Yantai Vocational College of Culture and Tourism, Yantai, China
Objective: In the context of the rapid development of the hospitality industry, vocational college students play an increasingly important role as a key source of skilled labor. However, their career intentions are often unstable and influenced by multiple psychological factors. From a psychological perspective, this study aims to examine the role of professional identity in shaping career intentions among hospitality students in vocational colleges, and to explore how internal psychological mechanisms affect students’ willingness to pursue careers in the hospitality sector.
Methods: Drawing on social identity theory and career development theory, this study constructs a conceptual framework linking professional identity to career intentions. A quantitative research design was adopted, and data were collected through a structured questionnaire administered to vocational college students majoring in hospitality management. The questionnaire measured dimensions such as professional identity, career intention, and related psychological factors using Likert-scale items. Statistical analyses, including reliability and validity tests, correlation analysis, and regression analysis, were conducted to examine the relationships among variables.
Results: The findings indicate that professional identity has a significant positive impact on students’ career intentions in the hospitality industry. Students with a higher level of professional identity demonstrate stronger commitment to their chosen field and a greater willingness to pursue long-term careers in hospitality. In addition, professional identity enhances students’ psychological engagement and strengthens their sense of belonging to the profession, which in turn positively influences their career decision-making. The results also suggest that insufficient professional recognition and negative social perceptions may weaken students’ career intentions.
Conclusion: From a psychological perspective, professional identity serves as a key internal driver in shaping vocational students’ career intentions in the hospitality field. Strengthening professional identity through educational interventions, practical training, and positive industry exposure can effectively enhance students’ career commitment. This study provides theoretical insights into the psychological mechanisms underlying career choice and offers practical implications for vocational education and talent development in the hospitality industry.
Acknowledgements: This paper presents a phased research outcome from the 2025 Collaborative Special Project of Shandong Provincial Humanities and Social Sciences Program, titled “Integrating China's Outstanding Traditional Ritual Culture into University Ideological and Political Education Courses.”
#124
The Effect of ESG Performance on Stock Returns: The Role of Investor Sentiment and Psychological Factors in Global Markets
Jiale Chen
School of Economics and Management, North University of China, Taiyuan, China
Objective: With the increasing global emphasis on environmental, social, and governance (ESG) issues, investors are paying more attention to firms’ non-financial performance. However, the relationship between ESG performance and stock returns remains inconclusive, particularly when psychological factors are considered. From a behavioral finance perspective, this study aims to examine how ESG performance affects stock returns in global markets and to explore the mediating role of investor sentiment and other psychological factors in this relationship.
Methods: This study employs a panel dataset of publicly listed firms across multiple global markets. ESG performance is measured using standardized ESG ratings, while stock returns are calculated based on market data. Investor sentiment is proxied by commonly used indicators such as market sentiment indices and trading activity measures. A series of econometric models, including fixed-effects regression and mediation analysis, are used to test the direct and indirect effects of ESG performance on stock returns. Control variables such as firm size, leverage, and market conditions are included to ensure robustness.
Results: The empirical results show that ESG performance has a significant positive impact on stock returns. Firms with higher ESG scores tend to generate superior returns, particularly in markets with stronger investor awareness of sustainability issues. More importantly, investor sentiment plays a crucial mediating role in this relationship. Positive ESG performance enhances investor confidence and reduces perceived risk, thereby improving market valuation and return performance. In contrast, negative sentiment can weaken the impact of ESG performance, suggesting that psychological factors shape how ESG information is interpreted and priced in financial markets.
Conclusion: This study highlights the importance of integrating psychological perspectives into ESG research. The findings suggest that the effect of ESG performance on stock returns is not purely driven by fundamental factors but is also influenced by investor sentiment and behavioral biases. By incorporating psychological mechanisms, this study provides a more comprehensive understanding of ESG-related investment outcomes and offers practical implications for investors, firms, and policymakers in promoting sustainable finance.
#125
Augmented Reality Design for Intangible Cultural Heritage Transmission from a Psychological Cognitive Perspective: A Case Study of Chinese Paper-Cutting
Qiulu Yang
School of Architectural Engineering, Yantai Institute of Technology, Yantai, China
Objective: With the rapid development of digital technologies, augmented reality (AR) has emerged as an effective tool for the transmission of intangible cultural heritage (ICH). From a psychological cognitive perspective, this study aims to explore how AR design can enhance users’ cognitive understanding, psychological engagement, and cultural identity in the process of learning traditional Chinese paper-cutting, thereby improving the effectiveness of ICH transmission.
Methods: Based on theories of constructivism, situated learning, and cognitive psychology, this study constructs an AR-assisted design framework for paper-cutting education. By integrating interactive visualization, real-time guidance, and immersive experience, the AR system enables users to actively participate in the learning process. An experimental study was conducted with participants divided into a control group (traditional learning) and an experimental group (AR-assisted learning). Data were collected through questionnaires, behavioral observation, and performance evaluation, focusing on cognitive comprehension, learning motivation, and psychological engagement.
Results: The findings indicate that AR-assisted learning significantly improves users’ cognitive performance and psychological participation compared with traditional methods. Participants in the experimental group demonstrated a higher level of understanding of paper-cutting techniques, stronger learning motivation, and deeper emotional connection to the cultural content. The immersive and interactive features of AR effectively reduce cognitive barriers and enhance knowledge construction, allowing users to transform abstract cultural knowledge into intuitive and meaningful experiences. In addition, users showed increased willingness to continue learning and engaging with intangible cultural heritage.
Conclusion: From a psychological cognitive perspective, AR design provides a powerful approach for enhancing the transmission of intangible cultural heritage. By promoting cognitive processing, emotional engagement, and experiential learning, AR can bridge the gap between traditional cultural forms and modern audiences. This study offers both theoretical insights and practical implications for the integration of digital technology and cultural heritage education, and highlights the importance of psychologically informed design in improving user experience and cultural sustainability.
#126
A Study on Cultural Identity and Psychological Participation in Digital Cultural Heritage in Smart Libraries
Shujie Jiang
Nanyang Development Strategy Research Institute, Nanyang Normal University, Nanyang, China
Objective: With the rapid advancement of digital technologies, smart libraries have become important platforms for the dissemination of digital cultural heritage. This study aims to explore how cultural identity and psychological participation interact within smart library environments, and how they jointly influence users’ engagement and acceptance of digital cultural heritage.
Methods: Drawing on interdisciplinary perspectives from psychology, library science, and cultural studies, this study defines the core concepts of cultural identity and psychological participation, emphasizing their cognitive, emotional, and behavioral dimensions. Through theoretical analysis and literature integration, it examines user behavior patterns in smart libraries, including information acquisition, interactive participation, and social communication, and analyzes how intelligent technologies such as AI and data-driven systems support user engagement and experience.
Results: The findings show that cultural identity significantly enhances users’ psychological participation by stimulating emotional resonance and intrinsic motivation. At the same time, psychological participation—through immersive experiences and cognitive involvement—further strengthens cultural identity. This bidirectional relationship forms a synergistic mechanism, in which user interaction behaviors serve as a key pathway linking psychological engagement and cultural recognition. Smart library technologies, especially personalized recommendation and immersive interaction, effectively amplify this mechanism.
Conclusion: Cultural identity and psychological participation are mutually reinforcing in the dissemination of digital cultural heritage. Smart libraries should emphasize psychologically informed design, emotional interaction, and user-centered services to enhance engagement and cultural belonging. This study provides a theoretical framework and practical insights for optimizing smart library systems and promoting sustainable cultural heritage transmission.
#127
Inflammation, Oxidative Stress, and Psychological Implications in Spinal Cord Injury: Mechanisms and Therapeutic Perspectives
Ming Jin, Wentao Wu, Zheyong Jia, Hu Qin, Yongxin Wang
Department of Neurosurgery, Xinjiang Medical University Affiliated First Hospital, Urumqi, China
Objective: Spinal cord injury (SCI) is a devastating neurological condition characterized by primary mechanical damage followed by complex secondary injury cascades, including inflammation and oxidative stress. Despite advances in clinical management, functional recovery remains limited. This study aims to systematically elucidate the interplay between inflammatory responses and oxidative stress in SCI pathogenesis, and to evaluate their implications for therapeutic strategies, while incorporating the often-overlooked dimension of psychological health in SCI patients.
Methods: A comprehensive review and integrative analysis were conducted on current experimental and clinical studies addressing the molecular and cellular mechanisms underlying inflammation and oxidative stress after SCI. Key aspects examined include immune cell activation (microglia, macrophages, lymphocytes), cytokine and chemokine cascades, reactive oxygen/nitrogen species (ROS/RNS) generation, mitochondrial dysfunction, and major signaling pathways such as Nrf2 and NF-κB. Additionally, evidence on pharmacological interventions (anti-inflammatory and antioxidant agents) and their neuroprotective efficacy was synthesized. The psychological burden associated with SCI, including stress, depression, and anxiety, was also incorporated to provide a multidimensional perspective.
Results: The findings indicate that secondary injury following SCI is driven by a tightly interconnected network of inflammatory and oxidative processes. Early activation of pro-inflammatory mediators (e.g., TNF-α, IL-1β, IL-6) and infiltration of immune cells amplify neuronal damage and disrupt spinal cord homeostasis. Concurrently, excessive ROS/RNS production leads to lipid peroxidation, protein dysfunction, DNA damage, and mitochondrial impairment, further exacerbating neuronal apoptosis and demyelination. Key regulatory pathways, including Nrf2-mediated antioxidant defense and NF-κB-driven inflammatory signaling, play dual roles in neuroprotection and neurodegeneration. Pharmacological agents such as methylprednisolone, minocycline, erythropoietin, and various antioxidants demonstrate partial efficacy in modulating these processes but are limited by side effects or insufficient functional recovery. Importantly, SCI-induced neuroinflammation and oxidative stress are closely associated with psychological disturbances, including depression and chronic stress, which can further influence neuroimmune responses and hinder rehabilitation outcomes.
Conclusion: Inflammation and oxidative stress are central, interdependent drivers of secondary injury in SCI, significantly influencing neurological deterioration and recovery potential. Targeting these pathways through combined anti-inflammatory and antioxidant strategies represents a promising therapeutic direction. Furthermore, integrating psychological health management into SCI treatment paradigms is essential, as mental stress and emotional disorders may exacerbate neurobiological damage and impede functional recovery. Future research should focus on multi-target, personalized, and interdisciplinary approaches to optimize both neurological and psychological outcomes in SCI patients.
#128
Digital Twin–Driven Intelligent Heating System Optimization: Integrating Energy Efficiency Enhancement with Indoor Thermal Comfort and Psychological Well-Being
Chengrui Tong
National Energy Group, Guoneng Shendong Project Management Company, Inner Mongolia, China
Objective: With the rapid advancement of urbanization and increasing complexity in energy management, conventional heating systems are constrained by high energy consumption, delayed responsiveness, and limited optimization capacity. This study aims to develop an intelligent heating system framework based on digital twin technology to enhance operational efficiency, adaptability, and user comfort. Additionally, the research incorporates psychological health considerations by examining how stable indoor thermal environments influence occupants’ mental well-being and cognitive performance.
Methods: A high-fidelity digital twin model of the heating system was constructed by integrating physical mechanism-based models with machine learning algorithms. The model comprehensively represents key components, including the thermal pipeline network, heat source equipment, and end users, enabling real-time synchronization and dynamic simulation. A deep reinforcement learning–based multi-agent optimization strategy was developed to coordinate energy flow across system layers. Furthermore, transfer learning was applied to improve heat load prediction under varying conditions, and a dynamic weight allocation algorithm was introduced for multi-objective optimization, balancing energy efficiency, system stability, and indoor comfort.
Results: The proposed digital twin model demonstrated superior computational efficiency in coupled simulations of pressure and temperature fields compared with conventional computational fluid dynamics (CFD) approaches, while maintaining simulation errors within 3.2%. The multi-agent reinforcement learning strategy enabled three-level cascade energy utilization, leading to an 18.7% improvement in overall system energy efficiency. In addition, the system significantly enhanced the stability of indoor thermal conditions. This stability was associated with improved occupant comfort and potential psychological benefits, including reduced thermal stress, enhanced mood regulation, and better cognitive functioning in indoor environments.
Conclusion: This study presents an integrated digital twin–driven framework for intelligent heating system modeling and optimization, combining advanced simulation, machine learning, and control strategies. The results highlight not only substantial gains in energy efficiency and system performance but also the importance of stable thermal environments for supporting psychological health. The proposed approach provides both methodological innovation and practical value, offering robust technical support for the digital transformation of urban energy systems and the development of human-centered, health-oriented smart infrastructure.
