Challenges and Considerations in Integrating Generative AI Models into Teaching

Discussions about the impact of generative artificial intelligence in teaching and learning are steadily moving beyond questions about whether and how students will cheat.

Today’s episode of The Key is drawn from a workshop expertly led by Inside Higher Ed’s Colleen Flaherty at the Digital Universities U.S. conference at Washington University in St. Louis.

The conversation on “Teaching with Generative AI: Benefits and Risks” featured four thoughtful experts on teaching and learning: Asim Ali, executive director of the Biggio Center for the Enhancement of Teaching and Learning at Auburn University; Trey Conatser, director of the Center for the Enhancement of Learning and Teaching at the University of Kentucky; Emily Thompson, director of online programs at Washington University’s School of Medicine, and Michael Reese, associate dean at Johns Hopkins University’s Center for Teaching Excellence and Innovation.

You’ll hear precious little discussion about cheating, but a lot of talk about the need for faculty training and support and the importance of bridging potential gaps in access and overcoming bias in the technology, among other things.

The Key is hosted by Inside Higher Ed Co-founder and Editor Doug Lederman. This episode is sponsored by Mongoose.