Tea for Teaching

Higher ed has become an increasingly complex and challenging environment to work in. In this episode, Susan Hrach and Kitty Maynard join us to discuss the role trained coaches can play in supporting agency, resilience, and career growth for college employees.

Susan is the author of Minding Bodies: How Physical Space, Sensation, and Movement Affect Learning. She’s served as a Fulbright Canada Distinguished Research Chair, and recently appeared on the TEDx stage in Columbus, Georgia. Kitty is the Director of the Teaching and Scholarship Hub at the University of Richmond. Her higher ed career began as a Professor of French Studies, and she has taken on leadership roles in faculty development at Washington College and Virginia Commonwealth University before moving to the University of Richmond. She is the author of Reveries of Community: Epic in the Age of Henri IV and co-editor of Polemic and Literature Surrounding the French Wars of Religion. Susan and Kitty have both received training from, and are members of, the International Coaching Federation. They are also two of the editors of Transformative Coaching for Faculty and Staff in Higher Education.

Kristin Croyle, a psychologist and the Dean of the College of Liberal Arts, Sciences, and Engineering, fills in for Rebecca in this episode.

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

Student motivation is enhanced when the framework of self-determination theory is used to design courses that support student autonomy. In this episode, Daniel Guberman and Chantal Levesque-Bristol join us to discuss a new resource designed to assist in the development of such courses.

Daniel and Chantal have leadership roles at the Center for Instructional Excellence at Purdue University. Chantal is the Executive Director and Daniel is the Assistant Director for Student-Centered Pedagogy.  They are the authors, with Emily Bonem, of Designing Impactful College Courses: Applying Self-Determination Theory to Unleash the Potential of Autonomy Supportive Learning Environments, which was recently released by Routledge.

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

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.

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.

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.