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August 15, 2025Higher Education Quarterly20 citationsOpen Access

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

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YJYing-Ying JiangLXLindai XieXCXiaoyu Cao

Key Points

  • Students with knowledge of AI policies are less likely to use AI for writing and research, underscoring a potential barrier to adoption.
  • The study involved survey and interview responses from 124 students and 7 faculty at two U.S. R1 universities, revealing significant insights into policy effectiveness.
  • Many faculty cited implementation challenges due to practical constraints, pointing to a need for better training and resources on institutional AI policies.
  • Findings highlight disparities in understanding and resources related to AI usage across disciplines and genders, signaling areas for further policy development.

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.

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Cite This Study

Jiang et al. (2025) studied this question.

synapsesocial.com/papers/68af4cdfad7bf08b1ead6485https://doi.org/10.1111/hequ.70054
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