Webinar | AI in the Classroom: What Enhances Student Learning and What Doesn’t

This discussion seeks to cut through noise on artificial intelligence and higher education, to examine what’s known about how today’s students are engaging with AI, and which kinds of tools and uses genuinely enhance learning—versus those that may undermine educational objectives.

Drawing on emerging research, case studies and other data, and anchored by an expert panel, this webcast will map the landscape of AI usage among students and explore critical distinctions between AI uses that promote deeper cognitive processing and those that potentially short-circuit essential learning processes.

The goal is to arrive at evidence-based insights that can help inform institutional AI policies and classroom practices that align technological innovation with substantive educational goals in this rapidly evolving digital landscape.

Speakers:

Bryan N. Alexander, Senior Scholar and Adjunct Professor, Georgetown University

Tricia Bertram Gallant, Director of the Center for Integrity in Education, University of California, San Diego

Lee Rainie, Director of the Imagining the Digital Future Center, Elon University

Michael Gerlich, Professor and Head of the Center for Strategic Corporate Foresight and Sustainability, SBS Swiss Business School