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The Opposite of Cheating Podcast
The premise of The Opposite of Cheating is that the work of teaching and learning experts can and should be applied to the goal of making cheating the exception and integrity the norm.
This podcast brings to life the voices of those experts, along with academic integrity practitioners and just genuinely nice and smart people who have something to say about teaching for integrity in the age of AI.
Scroll through the episodes by Season or click on a topic to the right to narrow in on your area of interest.
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Episode 35: Aviva Legatt
“AI is helping a lot of students to find a voice and at the same time though AI can also completely overtake the student voice.” “Critical thinking, communication, and relationship building… those are pieces of the AI puzzle that AI cannot solve on its own.” In this 35th episode of The Opposite of Cheating Podcast, David speaks with Aviva Legatt about the growing role of GenAI in higher education—from its use in admissions processes to course design, and institutional governa
Nov 3, 2025
Episode 37: Jessamyn Neuhaus & Kate Marzen
"Nobody’s brain wants to work overtime on something that seems pointless.” “Transparency full stop… you really you you cannot be too clear and transparent.” In this 37th episode of The Opposite of Cheating Podcast, David speaks with Syracuse University's Jessamyn Neuhaus (Director of the Center for Teaching & Learning Excellence) and Kate Marzen (Director of Academic Integrity) about using joy, trust, and proactive communication to reshape how academic integrity is approached
Oct 27, 2025
Episode 34: Torrey Trust
"AI can do this. Why am I asking them to do this?” "We've lost these opportunities where students fail and then learn through failure" In this 34th episode of The Opposite of Cheating Podcast, Tricia sits down with Torrey Trust, professor of learning technology at UMass Amherst, to explore how Generative AI is reshaping how students learn and how educators teach. Torrey shares insights from her popular courses on edtech and digital tools, her pioneering seminar “AI for Colleg
Oct 27, 2025
Episode 33: Phil Newton
"Students are human and humans cheat.” "If you make it easy for people to do, then it's more likely to happen." In this thought-provoking 33rd episode of The Opposite of Cheating, David speaks with Phil Newton, neuroscientist and academic integrity researcher at Swansea University in Wales. Phil brings a rare blend of scientific rigor and pedagogical insight to the conversation, reflecting on how memory, motivation, and fairness intersect with cheating, assessment, and the ri
Oct 20, 2025
Episode 31: Lance Eaton
“Abstinence doesn’t work. Not for drugs, not for alcohol, and not for AI.” “There’s something deeply dehumanizing about massive lecture...
Oct 6, 2025
Episode 30: Eric Anderman
“Students cheat for different reasons. It’s not one-size-fits-all—and our responses shouldn’t be either.” “We have to teach students what...
Sep 29, 2025
Episode 29: Shane Shukis
“Integrity isn’t about catching cheaters—it’s about creating a culture where shortcuts don’t make sense.” “First-year writing isn’t just...
Sep 22, 2025
Episode 28: Danny Liu
“Faculty development isn’t about tools; it’s about changing how we teach.” “Academic integrity is more than catching misconduct—it’s...
Sep 15, 2025
Episode 27: Lew Ludwig
"You can’t ask AI to do what you don’t understand." "I once thought an epsilon-delta proof was just busy work… until years later I saw...
Sep 8, 2025
Episode 26: Christopher Ostro
“The most horrifying student question I see in ChatGPT is: What should I think about this?” "Students don’t care about privacy like we...
Sep 2, 2025
Episode 24: Laura Dumin
"Some of the best learning happens when you fail upwards." "I have probably never saved any time from using AI." In The Opposite of...
Aug 18, 2025
Episode 22: Joshua Eyler
“Kids are born curious. The structure of schooling—standardized tests, boxed curricula—often kills that curiosity.” “There are no...
Aug 4, 2025
Episode 21: Tina Austin
“Before you drive a car, you need to know where the brakes are. That’s how I see AI literacy—AI safety comes first.” “AI speaks with...
Jul 28, 2025
Episode 20: Ann Rogerson
Ann Rogerson is Professor of Business at the University of Wollongong, as well as their Academic Lead on Australia's Assessment...
Jun 17, 2025
Episode 19: Jason Gulya
Tricia talks to Jason about how he has integrated GenAI into his teaching of English and Applied Media at Berkeley College and his tips...
Jun 13, 2025
Episode 17: Mike Perkins
Tricia and Dr. Mike Perkins talk about the AI Assessment Scale and the future of academic integrity in an AI-intensive learning...
May 30, 2025
Episode 15: Jennie Miron
Tricia talks to Humber Polytechnic's (Toronto, Ontario) Nursing Professor and Academic Integrity Lead Jennie Miron. Jennie has been...
May 19, 2025
Episode 11: HuiHui Qi
Tricia talks to UC San Diego Associate Teaching Professor HuiHui Qi about her amazing implementation of all of the strategies we talk...
May 5, 2025
Episode 9: Joseph Thibault
Joe and David talk about (among other things) ways to improve assessment security without increasing friction in the student experience....
Apr 28, 2025
Episode 7: Leon Furze
David and Leon Furze talk about writing with and without generative AI. To learn more about the topics we discussed:...
Apr 21, 2025
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