Generative AI in Higher Education: Seeing ChatGPT Through Universities' Policies, Resources, and Guidelines
Hui Wang, Anh Dang, Zihao Wu, Son Mac

TL;DR
This study analyzes how top U.S. universities' policies and resources address the integration of Generative AI, like ChatGPT, highlighting their cautious approach and providing practical guidance for educators.
Contribution
It offers a comprehensive analysis of university policies on GenAI and proposes pedagogical and policy recommendations for effective integration in higher education.
Findings
Most universities adopt an open yet cautious stance towards GenAI.
Universities provide diverse resources like workshops and guidelines for educators.
Key concerns include ethics, accuracy, and data privacy.
Abstract
The advancements in Generative Artificial Intelligence (GenAI) provide opportunities to enrich educational experiences, but also raise concerns about academic integrity. Many educators have expressed anxiety and hesitation in integrating GenAI in their teaching practices, and are in needs of recommendations and guidance from their institutions that can support them to incorporate GenAI in their classrooms effectively. In order to respond to higher educators' needs, this study aims to explore how universities and educators respond and adapt to the development of GenAI in their academic contexts by analyzing academic policies and guidelines established by top-ranked U.S. universities regarding the use of GenAI, especially ChatGPT. Data sources include academic policies, statements, guidelines, and relevant resources provided by the top 100 universities in the U.S. Results show that the…
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · COVID-19 diagnosis using AI · Online Learning and Analytics
MethodsALIGN
