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.

Scroll to Top