Traversing New Horizons: An Exploration of Educational Policies on Generative AI

Understanding how tertiary academic institutions approach the integration of generative AI (GAI) into their course policies is crucial since AI technologies are rapidly transforming society. AI is being used and applied across sectors and industries, and it is important to do so with regard to ethics. This exploratory study sought to examine how GAI policies were discussed across academic institutions. The policies were analyzed using NLP techniques and utilized existing publicly available datasets, which consisted of a collection of over 100 university policies and syllabi policies. Unsupervised clustering techniques were applied to analyze patterns in how different institutions may express their policies and best practices. These findings illuminate how universities and colleges may approach topics and challenges around AI, and specifically GAI.

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Publication Details

Published
2025-02-18
DOI
https://doi.org/10.1145/3641555.3705272
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Traversing New Horizons: An Exploration of Educational Policies on Generative AI

Stephanie Lunn, Kerrie Hooper
Artificial Intelligence in Healthcare and Education
article

Traversing New Horizons: An Exploration of Educational Policies on Generative AI

Stephanie Lunn, Kerrie Hooper
article en

Abstract

Understanding how tertiary academic institutions approach the integration of generative AI (GAI) into their course policies is crucial since AI technologies are rapidly transforming society. AI is being used and applied across sectors and industries, and it is important to do so with regard to ethics. This exploratory study sought to examine how GAI policies were discussed across academic institutions. The policies were analyzed using NLP techniques and utilized existing publicly available datasets, which consisted of a collection of over 100 university policies and syllabi policies. Unsupervised clustering techniques were applied to analyze patterns in how different institutions may express their policies and best practices. These findings illuminate how universities and colleges may approach topics and challenges around AI, and specifically GAI.

Florida International University (US)
Openalex Percentile: Top 98%
Artificial Intelligence in Healthcare and Education
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