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Developing Institutional Level AI Policies and Practices: A Framework

WCET Frontiers

Over the last twelve months, institutions have scrambled to not only better understand generative Artificial Intelligence (AI) and its impact on teaching and learning, but also to determine the best ways to provide guardrails and guidance for faculty, staff, and students. And it is often institutional administrators who lead this work.

Policy 59
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7 missteps university leaders must avoid in their AI approach

EAB

Dismissing AI as just another hype Many higher education leaders view AI as a passing trend, like the Massive Open Online Course (MOOCs) hype of the 2010s, rather than a lasting innovation. Anecdotally, student usage is even higher. For instructors, this means devising assignments that incorporate AI but push beyond its limits.