Tea for Teaching

Prequestions and AI

A growing body of research indicates that asking questions about concepts students have not yet studied increases learning. In this episode, Steven Pan and Judith Schweppe join us to discuss how generative AI can facilitate this technique by generating prequestions. 

Steven is an Assistant Professor of Psychology and the Director of the Learning Sciences Lab at the National University of Singapore whose research focuses on evidence-based teaching approaches. Judith is a Professor of Educational Science with a focus on teaching with digital media at the University of Erfurt. Her research focuses on working memory, long-term memory, and learning.

A transcript of this episode and show notes may be found at http://teaforteaching.com.

Revisiting A Curated AI Framework

Shortly before the start of the spring semester, Tim Curry joined us for an episode discussing his ambitious plan to create structured learning experiences for students using chatbots. In this episode, we check back to see how this experiment developed. Tim is a lecturer in the Department of Health Sciences at Northern Arizona University. He is developing AI applications for autism research and tribal health service while building Northern Arizona University’s Applied Health Analytics program. He’s also working on the completion of his PhD degree in health equity technology.

A transcript of this episode and show notes may be found at http://teaforteaching.com.

All Day TA

 Imagine having a virtual clone of yourself to assist your students whenever they need help and would track where students are struggling. In this episode, Joshua Gans joins us to discuss an attempt at creating an AI platform that accomplishes this.

Joshua is a Professor of Strategic Management and Jeffrey S. Skill Chair of Technical Innovation and Entrepreneurship at the University of Toronto’s Rotman School of Management with a joint appointment in the Department of Economics. His work focuses on the economics of innovation, entrepreneurship, and artificial intelligence. He has authored numerous scholarly articles on the economic impact of generative AI and, with Ajay Agrawal and Avi Goldfarb, of Prediction Machines and Power and Prediction, two books that have helped shape public understanding of the economic implications of AI.  Joshua has been thinking deeply about what generative AI means for higher education: how it can support teaching and learning, how colleges should prepare students for AI-augmented careers, and how AI may reshape labor market opportunities for today’s students. At the University of Toronto, he and Kevin Bryan developed an AI teaching assistant, All Day TA, which has been used to provide students with support outside traditional class hours.

A transcript of this episode and show notes may be found at http://teaforteaching.com.

Collaborative AI Guidance

With the rise of AI, institutions are scrambling to provide guidance and policies for students and faculty. In this episode, Kathleen Landy and Joshua Foster join us to discuss a collaborative approach involving student government, administration, and faculty.

Kathleen is the Provost and Vice President for Academic Affairs at Genesee Community College. Prior to this, Kathleen has served in leadership roles at teaching centers at Cornell University, Queensborough Community College, and Mercy College. She has taught in multiple modalities and also has extensive K-12 teaching experience. Kathleen also served on the Pod Network Core Committee from 2022 through 2025 and currently serves as a co-chair of the SUNY Council on Assessment. Joshua is the Vice President for Academic Affairs for the Student Government Association at Genesee Community College.

A transcript of this episode and show notes may be found at http://teaforteaching.com.

AI-Aware Teaching

While there is substantial debate over the appropriate role of generative AI in higher education, one area of agreement is that AI cannot be ignored. In this episode, Annette Vee, Marc Watkins, and Derek Bruff join us to discuss what faculty need to know to be AI-aware in their teaching.

Annette is an Associate Professor of English at the University of Pittsburgh where she has been actively involved with AI initiatives. She is the author of Coding Literacy: How Computer Programming is Changing Writing and is co-editor of TextGenEd: Teaching with Text Generation Technologies. Marc is a Lecturer in Writing and Rhetoric and an Assistant Director of Academic Innovation at the University of Mississippi, where he directs the AI Institute for Teachers. Derek Bruff is an Associate Director at the University of Virginia’s Center for Teaching Excellence, where he supports faculty in integrating generative AI in their teaching. He is the author of Intentional Tech: Principles to Guide the Use of Educational Technology in College Teaching and Teaching with Classroom Response Systems: Creating Active Learning Environments. He is the host and producer of the Intentional Teaching podcast. Annette, Marc, and Derek frequently serve as keynote speakers at academic conferences and write frequently about AI and higher education on their blogs. Annette, Marc, and Derek are the co-authors of The Norton Guide to AI-Aware Teaching.

A transcript of this episode and show notes may be found at http://teaforteaching.com.

Program-Level AI Responses

When generative AI platforms first appeared on the scene, faculty had to address these challenges alone. In this episode, Kathleen Landy joins us to discuss how program-level collaboration can help educators adapt more rapidly and effectively.

Kathleen is the Provost and Vice President for Academic Affairs at Genesee Community College. Prior to this, Kathleen has served in leadership roles at teaching centers at Cornell University, Queensborough Community College, and Mercy College. She has taught in multiple modalities and also has extensive K-12 teaching experience. Kathleen also served on the POD Network Core Committee from 2022 through 2025, and currently serves as the Co-Chair of the SUNY Council on Assessment.

A transcript of this episode and show notes may be found at http://teaforteaching.com.

AI Pre-Mortem

Many faculty, administrators, and students often become caught up in the potential benefits of new technology, but do not always consider the long-term consequences. In this episode, Rebecca Winthrop joins us to discuss a report summarizing the long-term benefits and risks associated with student use of generative AI.

Rebecca is a Senior Fellow and Director of the Center for Universal Education at the Brookings Institution, where her research focuses on education globally. Rebecca leads the Brookings Global Task Force on AI in Education and co-leads the Family Engagement in Education Network. In addition to her work with many other global education initiatives, Rebecca has served as the U.N. Secretary General’s Global Education First Initiative’s Technical Advisory Group and served as co-lead for the Learning Metrics Task Force with the UNESCO Institute of Statistics. Rebecca is also a lecturer at Georgetown University and, with Jenny Anderson, the co-author of The Disengaged Teen: Helping Kids Learn Better, Feel Better, and Live Better.

A transcript of this episode and show notes may be found at http://teaforteaching.com.

Insights From The Field

This podcast is a recording of a panel session featuring three online learning leaders, that was presented at the SUNY Online Learning Summit on Wednesday, February 25, 2026. The panelists are Yakut Gazi, Marina Amini, and Van Davis. Yakut is the Vice Provost for Learning Innovation and Digital Education at Duke University. Marina is the Executive Director of the California Virtual Campus, and Van is the Executive Director of WCET and the Vice President of Digital Learning at WICHE.

A transcript of this episode and show notes may be found at http://teaforteaching.com.

A Curated AI Framework

Students can use AI tools to support or short-circuit their learning. In this episode, Tim Curry joins us to discuss how he uses AI tools to support students with diverse prior knowledge in a carefully curated framework. 

Tim is a lecturer in the Department of Health Sciences at Northern Arizona University. He is developing AI applications for autism research and tribal health service while building Northern Arizona University’s Applied Health Analytics program. He’s also working on the completion of his PhD degree in health equity technology.

A transcript of this episode and show notes may be found at http://teaforteaching.com.

The Science of Learning Meets AI

The widespread adoption of and the rapid evolution of generative AI platforms have created substantial challenges for faculty in how we assess student learning. In this episode, Lew Ludwig and Todd Zakrajsek join us to discuss a new resource they have created that is designed to help faculty use AI to efficiently support teaching practices based on the science of learning.

Lew is a Professor of Mathematics at Denison University, where he served as Director of the Center for Learning and Teaching from 2020 to 2025. Much of his recent work has focused on innovative methods for utilizing generative AI. Todd is an Adjunct Associate Research Professor at the University of North Carolina at Chapel Hill, from which he just retired a few months ago after 17 years. He is also the Director of the International Teaching Learning Cooperative and the Director of four Lilly conferences on evidence-based teaching and learning. Todd is the author of many superb books, and has published six books (so far) in the past five years.

A transcript of this episode and show notes may be found at http://teaforteaching.com.