Document Type

Article

Publication Date

5-8-2026

Abstract

Generative artificial intelligence (Gen AI) has rapidly disrupted higher education, creating an urgent need for institutional guidance that is both clear and adaptable. This article examines a small private University’s five-semester journey in developing and implementing a university-wide Gen AI syllabi policy. This evolving approach balanced institutional consistency with faculty autonomy by requiring assignment-level guidance across three categories: prohibited, permitted, and required Gen AI use. A unique, longitudinal dataset was compiled from coding over 3,300 course syllabi to track real-time faculty adoption patterns across the campus. Results reveal a significant cultural shift: while the proportion of courses with blanket prohibition dropped sharply from 57% in the fall of 2023 to 23% in the fall of 2025, the number of courses integrating Gen AI as a required component saw a more than five-fold increase during the same period. This data demonstrates a critical institutional move away from blanket restriction toward nuanced, pedagogical integration of Gen AI into courses. The findings underscore the importance of structured flexibility and continuous policy refinement as essential elements for cultivating ethical and effective Gen AI adoption in the academy.

DOI

https://doi.org/10.65201/JEBP1194

Comments

Publisher's website: https://joidat.scholasticahq.com/article/160147-from-caution-to-adoption-tracking-implementation-of-a-university-wide-ai-syllabi-policy

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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