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AI Academy: Building Generative AI Literacy in Higher Ed Instructors

Published: September 15, 2025 | arXiv ID: 2509.11999v2

By: Si Chen , Xiuxiu Tang , Alison Cheng and more

Potential Business Impact:

Teaches teachers how to use AI in class.

Business Areas:
Machine Learning Artificial Intelligence, Data and Analytics, Software

Generative AI is reshaping higher education, yet research has focused largely on students, while instructors remain understudied despite their central role in mediating adoption and modeling responsible use. We present the \textit{AI Academy}, a faculty development program that combined AI exploration with pedagogical reflection and peer learning. Rather than a course evaluated for outcomes, the Academy provided a setting to study how instructors build AI literacies in relation to tools, policies, peer practices, and institutional supports. We studied 25 instructors through pre/post surveys, learning logs, and facilitator interviews. Findings show AI literacy gains alongside new insights. We position instructors as designers of responsible AI practices and contribute a replicable program model, a co-constructed survey instrument, and design insights for professional development that adapts to evolving tools and fosters ethical discussion.

Country of Origin
🇺🇸 United States

Page Count
21 pages

Category
Computer Science:
Human-Computer Interaction