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On the podcast today, I talk with four University of Virginia faculty who are serving this year as Faculty AI Guides. This provost-funded program has enlisted 51 faculty to explore potential uses of generative AI in their teaching and to share what they learn with colleagues in their departments and schools. Back in January, we invited the Faculty AI Guides to share assignments from their fall courses that thoughtfully integrated AI to support student learning. I put some of these assignments in a collection on the UVA Teaching Hub website (see the link below), and on this episode of the podcast, I talk with four of the Faculty AI Guides who contributed assignments.

Kiera Allison is an assistant professor of management communication, Jamie Jirout is an associate professor of education, Spyros Simotas is an assistant professor of French, and Jun Wang is a lecturer in Chinese. In our conversation, the four Faculty AI Guides talk about their motivations for being in the program, what they have learned about AI and teaching through their experiments, how they respond to concerns about students outsourcing their learning to AI, and what’s next for their use of AI in teaching.

Episode Resources

· Faculty AI Guides website

· “Integrating AI into Assignments to Support Student Learning,” UVA Teaching Hub

· “Red Lights, Green Lights, and AI-Integrated Assignments,” Derek Bruff, March 4, 2025

· AI Needs You: How We Can Change AI’s Future and Save Our Own, Verity Harding, Princeton University Press, 2024

· “How to Encourage Students to Write without AI,” Beth McMurtrie, Chronicle of Higher Education, February 13, 2025

· “AI Podcast 1.0: Rise of the Machines,” Planet Money, May 26, 2023

· “Comparing the Quality of Human and ChatGPT Feedback on Students’ Writing,” Jacob Steiss et al., Learning and Instruction, June 2024

· “Exquisite AI Corpse,” Maria Dikcis, AI Pedagogy Pr

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