Exploring the Effectiveness of Institutional Policies and Regulations for Generative <scp>AI</scp> Usage in Higher Education

ABSTRACT As generative artificial intelligence (Gen AI) becomes more integrated into higher education, institutions struggle to communicate clear and effective policies. This multiple‐methods study examines survey and interview data collected with 124 undergraduates and seven faculty members from two U.S. R1 universities regarding their perceptions of institutional AI policies, supportive resources and challenges. Students reported that while classroom‐level policies are recognised, institutional guidelines remain unclear. Similarly, faculty highlighted the implementation challenges they face due to practical constraints and insufficient training. Additional findings show that students aware of AI policies are less likely to use AI for writing and research; disciplinary and gender differences in institutional resources and policy awareness. Faculty interviews revealed themes such as AI use in research and varied colleague attitudes. Although this study is limited by the number of institutions and sample size, it highlights the need for ongoing research to support policy refinement.

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Institutions

Publication Details

Journal
Higher Education Quarterly
Published
2025-08-15
DOI
https://doi.org/10.1111/hequ.70054
Citations
5
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
11.83

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article

Exploring the Effectiveness of Institutional Policies and Regulations for Generative AI Usage in Higher Education

Lindai Xie, Yingying Jiang, Xiaoyu Cao
5 citations
Higher Education Quarterly
Ethics and Social Impacts of AI
11.83
article

Exploring the Effectiveness of Institutional Policies and Regulations for Generative AI Usage in Higher Education

Lindai Xie, Yingying Jiang, Xiaoyu Cao
article en
5 citations

Abstract

ABSTRACT As generative artificial intelligence (Gen AI) becomes more integrated into higher education, institutions struggle to communicate clear and effective policies. This multiple‐methods study examines survey and interview data collected with 124 undergraduates and seven faculty members from two U.S. R1 universities regarding their perceptions of institutional AI policies, supportive resources and challenges. Students reported that while classroom‐level policies are recognised, institutional guidelines remain unclear. Similarly, faculty highlighted the implementation challenges they face due to practical constraints and insufficient training. Additional findings show that students aware of AI policies are less likely to use AI for writing and research; disciplinary and gender differences in institutional resources and policy awareness. Faculty interviews revealed themes such as AI use in research and varied colleague attitudes. Although this study is limited by the number of institutions and sample size, it highlights the need for ongoing research to support policy refinement.

Higher Education QuarterlyVol. 79(4)
Texas Tech University (US), Purdue University West Lafayette (US)
Purdue University
Openalex Percentile: Top 2%
Ethics and Social Impacts of AI
11.83
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