Compendium of AI Applications in Higher Education
New case studies added: Check out our eight new examples of campus AI applications and two new in-depth profiles on innovations from York University and the University of Birmingham.
As AI’s emergence has redefined what is possible in higher education, institutions worldwide are exploring how they can deploy generative AI applications on their campus today.
This compendium serves as a reference book of generative AI applications designed to help higher education leaders begin experimenting with and make informed decisions about AI investments. By showcasing a broad spectrum of case studies, from low-cost and easily deployable solutions to those requiring substantial investment, institutions can make informed decisions to pursue AI applications that suit their unique contexts.
EAB sourced case studies through literature review, industry conferences, and research interviews with higher education leaders (e.g., chief business officers, chief information officers, provosts). This compendium will solely focus on generative AI applications.
Preview 45+ AI applications of AI below or download the full resource.
The compendium is structured into three primary sections, categorized by the type of AI application profiled and the depth of each case study:
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A quick start guide for free and low-cost tools
Discover how institutions are using free or low-cost AI tools or to drive team and department-level gains.
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Case studies of AI applications
Explore AI applications across the spectrum that institutions have either developed internally or licensed from a vendor partner.
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In-depth explorations of select AI applications
Dive into detailed examinations of how institutions developed their own AI applications, covering all phase from development to deployment.
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