The handbook covers use cases spanning teaching and instruction, student support services, assessment, research, accessibility, governance, workforce development, and more. Each entry includes the institution involved, the AI tools used, a description, and a direct link to the primary source. It draws on validated case studies from institutions like ASU, Purdue, Georgia State, Northeastern, the University of Michigan, and dozens of others, as well as findings from my Forbes Higher Education coverage.

As institutions navigate AI adoption, there’s no single place to see what’s actually being tried, what’s working, and where the gaps are. This resource is meant to fill that need — not as a static document, but as a living, growing repository shaped by the community. Consider sharing your own use cases!

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