Webinar: Rethinking Cognitive Offloading—When AI Helps and When It Hurts
AI is already reshaping how students learn—but most institutions aren’t designed to support it effectively. The result? A growing gap between what AI could do for learning and what’s actually happening in the classroom.
In this webinar, hosted by Kyron Learning, AI leaders and educators share how they’re navigating this shift in real time. Grounded in emerging research, the conversation will unpack why current approaches often fall short—and what it takes to move from ad hoc AI use to intentional, instructionally sound implementation.
We’ll explore the difference between student-led AI use and strategic integration that actually improves learning outcomes, and where institutions need to rethink course design, assessment, and faculty support to make that shift possible.
What you’ll take away:
- Why most current AI use in higher ed isn’t improving learning—and what’s missing
- A clear framework for using AI to support deeper thinking, not replace it
- Practical ways to redesign assignments and assessments for an AI-driven environment
- Real examples from institutions actively implementing AI in their courses
- How to scale AI adoption while maintaining academic integrity, quality, and equity
Panel:
- Michelle Kassorla, Ph.D., Professor, Georgia State University
- Adam Pryor, Senior Advisor, Council of Independent Colleges
- Rae Clemmons, Chief Customer Officer, Kyron Learning
- Tawnya Means, Ph.D., Founder & Principal, Inspire Higher Ed and Co-Founder & Chief Academic Officer, AdvancAI Higher Education