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Exploring AI’s Role in Modern Language Education with Dr. Zoe Handley

In this episode of the TELSIG podcast, Phil Martin talks to Dr. Zoe Handley about her research on English tutors' knowledge and beliefs about the use of AI in language teaching. Zoe shares her background, starting as a language learner using technology, and details the evolution of speech and language technologies over the past 20 years. We elaborate on the potential of AI technologies in language learning apps like Duolingo and the ethical and practical challenges these technologies bring to assessment and pedagogy. The conversation also explores the gap between research and classroom practice and the exciting opportunities AI can offer in education, particularly in literacy and personalized learning. Guest bio Dr Zoe Handley is an applied linguist specialising in Computer-Assisted Language Learning (CALL) with experience in the speech AI industry. Her research explores how the affordances of digital technologies might be harnessed to create the conditions and engage learners in the processes we know promote language learning. Her most highly cited publications include a systematic review of the evidence for the use of technology to support (English) language learning and a tool for measuring teachers' knowledge of technology to support (English) language learning. She has also carried out a number of evaluations of specific technologies including collaborative writing platforms and chat applications. Further reading Handley, Z. (2024). Has artificial intelligence rendered language teaching obsolete?. The Modern Language Journal. Theme music: "Smoke" by SoulProdMusic The TELSIG Podcast is hosted by Phil Martin from the University of York, and explores issues in learning technology through conversations with experts in teaching, research and learning design. Timecodes: 00:00 Introduction and speaker background 01:54 Advancements in AI for Language Learning 03:56 Impact of AI on Language Teaching 05:08 Role of AI in Language Learning Apps 10:16 Automated Writing and Speech Evaluation 17:16 Challenges and Future Directions in AI for Language Learning 22:57 Teachers' Beliefs and Practices Regarding AI 30:45 Academic Misconduct and Policy Challenges 31:12 Alternative Assessment Methods 31:57 AI in Education: Opportunities and Challenges 32:29 The Role of Writing in Learning 33:31 Machine Translation in Academia 35:33 Pedagogical Knowledge and Technology Integration 37:23 Teacher Training and Technology 40:36 Pandemic-Induced Shifts in Education 41:33 Bridging the Gap Between Research and Practice 43:29 AI Tools in Education: Practical Applications 56:01 Ethics and Future Opportunities in AI 59:16 Conclusion and Final Thoughts