Webinar

The AI Educational Double Bind: When to Lean In—and When to Refuse

Kevin Yee

Kevin Yee

In this webinar, Kevin Yee will explore why every curriculum must sometimes lean into AI, but other times, practice informed refusal. We will focus on practical strategies such as how to craft AI-resilient assessments or methods of convincing students that AI shortcuts will endanger their future careers. 
Apr 15, 2026
Global
Online
15 April 2026 13:10–13:40 PT, 14:10–14:40 MT, 15:10–15:40 CT, 16:10–16:40 ET, 21:10–21:40 BST / 16 April 2026 at 06:10–06:40 AEST

Event Details

AI is here to stay, and employers increasingly are seeking students who know how and when to use AI. But higher education is not here only to focus on job skills. While we train brains to think, students find AI shortcuts extremely difficult to resist meaning we must find ways to prevent cognitive offloading in large chunks of the curriculum, while also finding space for AI fluency. In this webinar, facilitated by Kevin Yee (University of Central Florida, USA), we will focus on practical strategies such as how to craft AI-resilient assessments or methods of convincing students that AI shortcuts will endanger their future careers.

About the facilitator

Kevin Yee is Special Assistant to the Provost for Artificial Intelligence and Director of the Faculty Center for Teaching and Learning at the University of Central Florida (UCF), USA. Kevin has worked in educational development since 2004, serving as director of various teaching centers since 2012. He joined UCF’s Faculty Center in 2022. Kevin has written books on AI fluency and how to use generative AI (such as ChatGPT) in the college classroom, as well as ways faculty can use AI in their day job.

A third book in the series aims will illustrate small changes faculty can make to convince students not to take AI shortcuts. In 2025, he added the role of university AI coordinator , helping to track, connect, and publicise “AI for All” efforts across all UCF stakeholders (faculty, staff, students).

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The AI Educational Double Bind: When to Lean In—and When to Refuse

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