The AI Questions Higher Education Should Be Asking

WEBINAR
Date: Thursday, September 17
Time: 2pm ET

Every institution is evaluating AI. Most are asking the same questions: Can it integrate with our LMS? Is it secure? How quickly can faculty adopt it?

Those questions matter. But they're not the questions that will determine whether AI improves student learning.

The real question is this: Was it designed around how people actually learn?

In this session, we'll challenge the current conversation around AI in higher education and introduce a new framework for evaluating AI through the lens of learning science—not product features. We'll explore why giving students faster answers isn't the same as building understanding, how AI can either accelerate cognitive offloading or deepen critical thinking, and the four questions every institution should ask before bringing AI into the classroom.

If we're serious about improving outcomes—not just adopting technology—we need to raise the standard for AI in education.

Attendees will learn:

• Why most AI evaluations miss the question that matters most.
• The four questions every institution should ask before adopting AI.
• How learning science separates AI that teaches from AI that simply answers.
• What educators should look for to improve engagement, understanding, and long-term student success.