D2L: AI in Higher Ed - Where Are We Now?

AI use in higher education has reached a tipping point. Join leaders from University of North Texas, D2L and Tyton Partners as they unpack findings from the 2026 Time for Class report and discuss what the data means in practice for AI integration, student engagement, faculty, and workforce readiness.

What to Expect

Explore new data on AI adoption, the gap between policy and practice, student engagement and workforce readiness, paired with perspectives from higher education leaders on how these trends are playing out on campus.

Who Should Attend?

Higher education leaders, academic affairs teams, faculty leaders, teaching and learning professionals and others navigating AI strategy, student engagement, institutional policy and workforce readiness.

Why Attend?

The data tells one part of the story. Through perspectives from leaders like Dr. Michelle Singh at the University of North Texas, we’ll explore how AI is showing up on campus today and what institutions can learn from the data as they shape their approach to engagement, learning and student success.

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