12. AI and Dialogic Feedback: Reframing Student Agency Through AI Partnerships скачать в хорошем качестве

12. AI and Dialogic Feedback: Reframing Student Agency Through AI Partnerships

What happens when AI becomes a dialogic partner in feedback rather than a replacement for human judgment? Dr Viktoria Magne (  / viktoriamagne  ) , Dr Rebecca Mace (  / rebecca-mace-85865a7a  ) , Sarah Hooper, and Dr Sharon Vince (  / sharon-vince-3222061a8  ) from the University of West London and University of Worcester reveal how structured AI conversations are helping students engage more deeply with feedback whilst keeping academic judgment clearly human-led. This conversation explores how AI creates low-stakes, judgment-free spaces where students can question, challenge, and co-construct understanding without fear of looking silly or upsetting relationships with staff. The team shares how they've designed reflective cycles using structured prompts that position students as active agents rather than passive recipients, and why this matters for equity, emotional safety, and critical AI literacy. We discuss the difference between transactional and dialogic AI use, why feedback shouldn't feel like static judgment, how AI helps students engage in "conversation with themselves", and what happens when first-generation students gain access to a network they've never had before. The team explains why digital literacy means learning to question AI outputs, not just operate tools, and how transparency around staff AI use builds trust. This episode continues our new short series featuring conversations from the ⁠⁠Building Bridges: A Symposium on Human-AI Interaction⁠⁠ (https://warwick.ac.uk/fac/cross_fac/i...) held at the University of Warwick on 21 November 2025. The symposium was organised by ⁠⁠Dr Yanyan Li⁠⁠ (  / dr-yanyan-li-fhea-38a097220  ) , Xianzhi Chen, and Kaiqi Yu, and jointly funded by the Institute of Advanced Study Conversations Scheme and the Doctoral College Networking Fund, with sponsorship from Warwick Students' Union. AI Ethics Now Exploring the ethical dilemmas of AI in Higher Education and beyond. A University of Warwick IATL Podcast This podcast series was developed by Dr Tom Ritchie and Dr Jennie Mills, the module leads of the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠IATL module ⁠"The AI Revolution: Ethics, Technology, and Society"⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (https://warwick.ac.uk/fac/cross_fac/i...) ⁠ at the University of Warwick. The AI Revolution module explores the history, current state, and potential futures of artificial intelligence, examining its profound impact on society, individuals, and the very definition of 'humanness.' This podcast was initially designed to provide a deeper dive into the key themes explored each week in class. We want to share the discussions we have had to help offer a broader, interdisciplinary perspective on the ethical and societal implications of artificial intelligence to a wider audience. Join each fortnight for new critical conversations on AI Ethics with local, national, and international experts. We will discuss: • Ethical Dimensions of AI: Fairness, bias, transparency, and accountability. • Societal Implications: How AI is transforming industries, economies, and our understanding of humanity. • The Future of AI: Potential benefits, risks, and shaping a future where AI serves humanity. If you want to join the podcast as a guest, contact Tom.Ritchie@warwick.ac.uk.