Knowing the Rules Is Not Enough: Student Regulatory Awareness and Use of GenAI in Higher Education

2026-06-12 · Source: cs.SE updates on arXiv.org · Field: Education & Learning — Educational Technology (EdTech), Academic Research & Higher Education · Depth: Expert, extended

Summary

A survey involving 151 undergraduate students from Business Information Systems and E-Government programs at the University of Applied Sciences and Arts Hannover, Germany, conducted between November 5, 2024, and December 31, 2024, investigated student awareness of institutional Generative AI (GenAI) regulations and their perceived compliance. The study found that only 25.83% (39 students) were aware of institutional GenAI policies, while 62.25% (94 students) were not. Among the 127 students who reported using GenAI tools, a substantial 72.44% (92 students) were uncertain whether their usage complied with university rules, with only 17.32% (22 students) confident in their compliance. These findings reveal a significant disconnect between the existence of institutional regulations and students' practical understanding and application of these rules in their academic work.

Key takeaway

For higher education institutions and educators developing GenAI policies, relying solely on formal regulations is insufficient. Your current guidelines likely do not ensure student awareness or provide clear, actionable understanding of compliant usage. You should integrate explicit discussions about acceptable GenAI use directly into courses, offer concrete examples of permitted and non-permitted applications, and develop accessible training materials to bridge the gap between policy and student practice.

Key insights

Student awareness of GenAI regulations is low, and even aware students lack clarity on rule-compliant usage.

Principles

• Regulatory existence does not ensure student awareness.
• Awareness alone does not guarantee clarity on rule compliance.
• Uncertainty about GenAI rules is widespread among student users.

Method

A quantitative survey of 151 undergraduate students collected data on GenAI usage, tool types, regulatory awareness, and perceived compliance. Descriptive statistics, cross-tabulations, and correlation analyses were applied.

In practice

• Integrate GenAI discussions directly into courses.
• Provide explicit examples of permitted/non-permitted uses.
• Develop accessible guidelines and workshops for students.

Topics

• Generative AI
• Higher Education Policy
• Student Compliance
• Academic Integrity
• AI Governance
• Survey Research

Best for: Research Scientist, Policy Maker, Domain Expert

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Editorial summary, takeaway, and curation by AIssential. Original article published by cs.SE updates on arXiv.org.