Abstract

Since the twenty-first century, globalization and rapid digitalization have significantly elevated the role of audio-visual media in language education. The integration of artificial intelligence (AI), particularly generative AI (GenAI), has not only driven technological innovation but also prompted a rethinking of pedagogical philosophies and learning modes (Xiliang, 2024; Chunping et al., 2024). While this transformation expands the theoretical scope of language teaching, it also raises a key challenge: how to effectively integrate GenAI-driven podcast and video resources into diverse learning contexts. Traditional teaching and assessment systems increasingly struggle to accommodate these emerging practices. Against this backdrop, Technology and Language Learning: Effective Podcasting and Video-Based Language Teaching Practices in the Age of Generative AI offers a timely and systematic exploration of innovative audio-visual pedagogies, providing both theoretical insights and practical guidance for the digital transformation of language education.
The book focuses on the pedagogical applications of audio-visual materials and is organized into three sections, comprising eleven chapters: audio/video-based learning; podcasting; and video-based instruction. The opening chapters establish the theoretical and technological foundations, highlighting the transformative role of audio-visual media and positioning AI as a supportive tool for human-centred instruction. Through historical review and illustrative cases, the authors demonstrate the feasibility of personalized and autonomous learning. Chapters on podcasting (3–7) examine its democratizing potential in authentic language contexts. The authors present design principles, integration with Task-Based Language Teaching and practical classroom strategies. The final section (Chapters 8–11) explores video-based pedagogy, particularly within social media environments. These chapters outline four major integration paradigms and provide step-by-step guidance on video production, including AI-assisted scripting and editing. A multidimensional assessment framework is also proposed, emphasizing personalized evaluation through AI tools. Overall, the book constructs a coherent framework linking theory, technology and practice, thereby bridging the gap between research and classroom implementation.
This book explores innovative paths in language teaching through a forward-looking perspective, demonstrating significant academic value and practical significance. First, the authors actively introduce research methodologies of multimedia and AI technology into the discourse of educational innovation, constructing an interdisciplinary dialogue model encompassing linguistics, pedagogy and technology studies. On this basis, with podcasting and video teaching as its core, the book reveals the diverse possibilities of AI technology in empowering language learning, providing a theoretical basis and practical insights for educators to cope with complex teaching scenarios and personalized learning needs.
Secondly, the structure and content design of this book reflect a clear research integration. Through a systematic review of podcasting and video teaching, the authors form a logical chain throughout the book. The ‘Think about it’ sections in the book strengthen the interaction between the reader and the text, making the reading process both critical and generative, reflecting the openness and reflexivity of academic research.
Thirdly, this book is an inspiring and far-reaching reference book, especially in dealing with current complex language teaching scenarios. The authors explore in depth how to balance the relationship between AI-generated content and authentic language practice, emphasize the ethical awareness and pedagogical subjectivity of educators in technology application and propose a teaching philosophy centred on ‘human−AI collaboration.’ This writing stance makes this book not only an important document for understanding the transformation of language teaching in the AI era but also provides a direction for continuous exploration in future research.
Although the book as a whole demonstrates clear academic innovation and practical guidance value, several limitations remain due to space constraints and the book's broad scope. For example, in chapters discussing GenAI applications such as voice cloning and automated script generation, the treatment of pedagogical feasibility and ethical governance remains relatively broad. Although the authors point out that these technologies have the potential to optimize language input and achieve personalized teaching, the discussion on the specific path of how to reasonably use AI-generated podcasts and videos under the premise of ensuring teaching authenticity, maintaining academic integrity and protecting privacy rights is still relatively general.
Secondly, although the book proposes rich teaching strategies and curriculum design suggestions, student agency is comparatively underexplored. In chapters focusing on the roles of learners, they are positioned as users of new tools, while less attention is paid to how students may actively employ AI tools for pre-class preparation, language generation, content analysis, or learning feedback.
In addition, although the book focuses on presenting the reconstruction of the teaching paradigm by AI technology, the attention to the leading role of teachers in technology integration is relatively limited. As the core organizers and designers of teaching activities, teachers’ technical attitudes, media literacy and empirical reflection on AI tools play a key role in the effectiveness of language teaching (Mostafa, 2025). However, the book seldom involves the cognitive load, professional ethics and teaching autonomy challenges faced by teachers in the process of using AI technology, which to a certain extent weakens its discussion depth on teacher professional growth and teaching innovation.
Despite these limitations, the book provides references and insights for scholars, teachers, students and practitioners engaged in educational research worldwide, especially those interested in language teaching, language technology and training. Its pedagogically oriented discussions and GenAI-informed practices are especially relevant to higher education and teacher training contexts in digitally evolving language education settings.
Footnotes
Funding
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Chinese University Foreign Language Teaching and Research Project of the Shanghai Foreign Language Education Press: Research on the Innovation of the Plan, Do, Check, Act (AIPE) Practice Model for Master of Translation and Interpreting Translation in Teaching in Forestry Universities in the GenAI Era, 2025" should be revised as follow: Chinese University Foreign Language Teaching and Research Project of the Shanghai Foreign Language Education Press: Innovation Research on MTI Translation Teaching in Forestry Universities in the GenAI Era, Project Number: 202513655YN.
