Student Misuse of Generative AI
Excellent Educator, Volume: 2, Issue: 24, Page: 4
Summary of Reiter et al (2025)
Academic Insights
- Students widely adopt AI for university learning tasks; trust and usefulness drive adoption.
- AI threatens traditional assessments like take-home essays and MCQs.
- Over-reliance risks reduced engagement, lower critical thinking, and factual errors.
- Cheating using AI is measurable via randomized response methods.
- Technology Acceptance Model (TAM2) successfully predicts why students choose AI.
- Need for policy, redesign of assessments, and student education on responsible use.
Apply This Now
- Build assignments that AI cannot complete alone (oral defences, reflections, annotated steps).
- Provide structured AI-use guidance—where to use AI, where not to.
- Teach students to cross-check AI outputs with primary sources.
Add This in Your Lesson
Require every AI-assisted answer to include a fact-check annotation (“verified from…”).
Avoid This Mistake
Assuming students misuse AI because they are malicious—most misuse arises from unclear rules.
Source/Citation
Reiter, L., Jörling, M., Fuchs, C., Working Group “AI in Higher Education”, & Böhm, R. (2025). Student (mis)use of generative AI tools for university-related tasks. International Journal of Human–Computer Interaction, 41(19), 12390–12403. https://doi.org/10.1080/10447318.2025.2462083
Ross, E., & Malar, D. B. J. (2025). Student Misuse of Generative AI. Excellent Educator, 2(24), 4.
