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On-Demand Webinar

Managing Change in the Age of AI

May 12, 2026 | 2:00 PM EST | 1 Hour

Join this webinar to gain practical, people-centered strategies for leading AI implementation in higher education and turning campus-wide uncertainty into intentional progress.

Can’t attend live? Register for the recording.

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Speakers

Dr. Luke Hobson

Assistant Director of Instructional Design for MIT xPRO, an Instructor for the University of Miami’s School of Education and Human Development 

Robyn Hammontree

D2L, VP Academic Partnerships

Erin Robson

D2L, Change Management Consultant

About This Webinar

Artificial intelligence is rapidly reshaping higher education, but managing the human side of that transformation is where the real challenge lies. From enthusiastic early adopters to deeply skeptical faculty, institutional leaders are navigating a wide spectrum of AI engagement across their campuses. 

This session explores practical, people-centered strategies for leading AI implementation in higher education. Participants will learn how to support faculty at different stages of readiness, reduce resistance, build shared understanding, and create a sustainable roadmap for responsible AI integration. Grounded in change management principles and tailored to the realities of higher education culture, this webinar equips leaders with tools to move from reactive conversations to intentional, strategic progress. 

What

Learn how to assess faculty AI readiness, apply change management frameworks that fit academic culture, and build the strategies needed to move your institution from scattered experimentation to coordinated progress.

Why

Each semester is an opportunity to build a clearer AI strategy. Join us to develop the framework that helps your institution move forward with intention.

Who Should Attend?

This session is designed for higher education leaders responsible for academic strategy, faculty development, or institutional innovation, including provosts, deans, department chairs, CIOs, teaching and learning leaders, and AI task force members. It is especially valuable for institutions seeking to move beyond informal AI experimentation toward coordinated, sustainable implementation.