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Today on the podcast, I'm excited to try out a new format. I'm calling it "Study Hall" since we're gathered together to discuss some interesting teaching and learning studies, with this edition's studies exploring the intersection of generative AI and education.

The panelists for this edition of study hall are Lance Eaton, senior associate director of AI in teaching and learning at Northeastern University; Michelle D. Miller, professor of psychological sciences at Northern Arizona University; and David Nelson, associate director at the Center for Instructional Excellence at Purdue University.

Episode Resources

Grinschgl, S., & Neubauer, A. C. (2022). Supporting cognition with modern technology: Distributed cognition today and in an AI-enhanced future. Frontiers in Artificial Intelligence, 5(July), 1–6. https://doi.org/10.3389/frai.2022.908261

Sun, Y., & Wang, T. (2025). Be friendly, not friends: How llm sycophancy shapes user trust. arXiv preprint https://arxiv.org/abs/2502.10844 

Darvishi, A., Khosravi, H., Sadiq, S., Gašević, D., & Siemens, G. (2024). Impact of AI assistance on student agency. Computers & Education, 210, 104967. https://doi.org/10.1016/j.compedu.2023.104967

Lance Eaton’s blog, AI + Education = Simplified, https://aiedusimplified.substack.com/ 

Michelle Miller’s newsletter, R3, https://michellemillerphd.substack.com/

Dave Nelson’s LinkedIn page, https://www.linkedin.com/in/dave-nelson-8698b94a/

 

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