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Student (Mis)Use of Generative AI Tools for University-Related Tasks

Author

Listed:
  • Leonhard Reiter

    (Universität Wien = University of Vienna)

  • Moritz Joerling

    (EM - EMLyon Business School)

  • Christoph Fuchs

    (Universität Wien = University of Vienna)

  • Working Group Artificial Intelligence In Higher Education
  • Robert Böhm

    (Universität Wien = University of Vienna)

Abstract

Although Artificial Intelligence (AI) holds immense potential to enhance the educational experience, its use also presents challenges. This research examines the use and misuse of AI tools for university-related tasks. We surveyed 498 students from three faculties at a large European university to, first, identify factors driving their willingness to use AI tools for university-related tasks, and, second, estimate the prevalence of cheating behavior involving the unauthorized use of AI tools in examinations. Specifically, we tested and extended the Technology Acceptance Model 2 (TAM2) by identifying trust and perceived opportunity costs as additional determinants of using AI tools for university-related tasks. To estimate the proportion of students cheating during examinations, we applied a randomized response technique. We discuss the results with respect to the effective and appropriate implementation of AI tools in higher education. Our findings can help educators and policymakers to promote responsible AI use while mitigating its misuse.

Suggested Citation

  • Leonhard Reiter & Moritz Joerling & Christoph Fuchs & Working Group Artificial Intelligence In Higher Education & Robert Böhm, 2025. "Student (Mis)Use of Generative AI Tools for University-Related Tasks," Post-Print hal-05626257, HAL.
    • Handle: RePEc:hal:journl:hal-05626257
    DOI: 10.1080/10447318.2025.2462083
    Note: View the original document on HAL open archive server: https://hal.science/hal-05626257v1
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