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Academic Misconduct and Generative Artificial Intelligence University Students’ Intentions, Usage, and Perceptions216.74 kB
Preprint VersionCC BY V4.0, Open Access
Preprint
Academic Misconduct and Generative Artificial Intelligence: University Students’ Intentions, Usage, and Perceptions
PsyArXiv Preprints, Vol.13 September 2023
Cornell University
2023
Abstract
This study aimed to investigate the relationship between academic misconduct and the use of Generative Artificial Intelligence (Gen-AI) among university students. In the current study, we tested the hypotheses that students with pre-existing misconduct intentions and behaviors were: (1) more inclined to use Gen-AI for assessments; (2) more likely to have already used Gen-AI for assessments; and (3) less likely to view Gen-AI as cheating. Accordingly, we surveyed 442 undergraduates using two subscales of the academic misconduct scale to assess intentions and behaviors related to academic misconduct. Questions also addressed their intent and current use of Gen-AI for university assessments and perceptions of Gen-AI as cheating. Findings showed that students with past misconduct intentions or behaviors were 270% and 138% more likely, respectively, to consider using Gen-AI. However, past misconduct behaviors showed a non-significant 66% increase in current Gen-AI usage. Moreover, students with misconduct intentions were 50% less likely to view Gen-AI as cheating, while prior misconduct showed a non-significant 38% increase in this perception. The results emphasize the need for universities to guide students towards ethical Gen-AI use, especially considering it is being used by those predisposed to academic dishonesty.
Details
- Title
- Academic Misconduct and Generative Artificial Intelligence: University Students’ Intentions, Usage, and Perceptions
- Authors
- Richard Tindle (Author) - University of the Sunshine Coast, Queensland, School of Health - PsychologyKay Pozzebon (Author) - University of the Sunshine Coast, Queensland, School of Health - PsychologyRoyce Willis (Author) - Southern Cross UniversityAhmed A Moustafa (Author) - Bond University
- Publication details
- PsyArXiv Preprints, Vol.13 September 2023
- Publisher
- Cornell University
- Date published
- 2023
- DOI
- 10.31234/osf.io/hwkgu
- Copyright note
- CC-By Attribution 4.0 International
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Health - Psychology
- Language
- English
- Record Identifier
- 99966894102621
- Output Type
- Preprint
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