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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. Developing and maintaining infrastructure for AI. Assessment practices.

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. Since students must learn how to use AI to prepare for the workforce, educators must adapt their teaching and evaluation methods to accommodate AI.