Emerging Research and Policy Themes on Academic Integrity in the Age of Chat GPT and Generative AI
Open accessAbstract
Universities are increasingly concerned with the impact of Generative AI, such as Chat GPT, on cheating and other violations of students' academic integrity.However, research is scarce regarding the responses of universities on this issue.In addition, the increase in studies on GenAI invites a systematic review of themes and trends to update researchers who wish to embark on this emerging research area.This paper reviews 37 articles on academic integrity in the Age of Gen AI and presents the approaches of the top 20 global universities to mitigate the impact of artificial intelligence tools on students' intellectual integrity and learning.The results showed three themes both in the systematic review of the literature and the content analysis of the policies of the top 20 global universities: enforcement of academic integrity, education of faculty and students on ways to avoid academic misconduct, and encouragement of using Gen AI tools in the academe and the workplace, for productivity.This paper proposes a 3E Model for higher education institutions to start a discussion on creating a roadmap to ensure academic integrity, explore ways to improve classroom assessment practices, and encourage exploration of evolving Gen AI tools.In addition, the categories found in this study may be used by universities in updating their research agenda on Generative AI.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Banning or blocking GenAI tools has proven ineffective.
“Banning or blocking GenAI tools has proven ineffective, and punitive approaches ignore the potential benefits of these technologies.”
From The AI Assessment Scale (AIAS) in action: A pilot implementation of GenAI supported assessment (2024) · cites this paper as Plata et al., 2023
Cites
Chatting and cheating: Ensuring academic integrity in the era of ChatGPT
Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024) · Innovations in Education and Teaching International · doi:10.1080/14703297.2023.2190148 · Cited by 3,087 · see citing works
Chatting and Cheating. Ensuring academic integrity in the era of ChatGPT
Cotton, D., Cotton, P., & Shipway, J. R. (2023) · doi:10.35542/osf.io/mrz8h · Cited by 3,079 · see citing works
What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature
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A comprehensive AI policy education framework for university teaching and learning
Chan, C. K. Y. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00408-3 · Cited by 1,577 · see citing works
ChatGPT for Education and Research: Opportunities, Threats, and Strategies
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Practical and ethical challenges of large language models in education: A systematic scoping review
Yan, L., Sha, L., Zhao, L., Li, Y., Martinez‐Maldonado, R., Chen, G., Li, X., Jin, Y., & Gašević, D. (2024) · British Journal of Educational Technology · doi:10.1111/bjet.13370 · Cited by 935 · see citing works
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ChatGPT in higher education: considerations for academic integrity and student learning
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Exploring Students’ Perceptions of ChatGPT: Thematic Analysis and Follow-Up Survey
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Will ChatGPT get you caught? Rethinking of Plagiarism Detection
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Criteria for Good Qualitative Research: A Comprehensive Review
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Flagged first, then by citations
Cited by
Sorted by citations
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The AI Assessment Scale (AIAS) in action: A pilot implementation of GenAI supported assessment
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“Current approaches to GenAI in higher education often focus narrowly on academic misconduct, limiting opportunities for students to engage with the technology in meaningful ways and ignoring broader ethical considerations (Cotton et al., 2023; Perkins, 2023; Plata et al., 2023; Uzun, 2023).”
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Kangwa, D., Msafiri, M. M., & Fute, A. (2025) · Journal of Computer Assisted Learning · doi:10.1111/jcal.70109 · Cited by 22 · see citing works
Milinković, A., Vuleta, D., & Babić, I. T. (2024) · 2024 47th MIPRO ICT and Electronics Convention (MIPRO) · doi:10.1109/mipro60963.2024.10569274 · Cited by 4 · see citing works
Generative AI-Enhanced Oral Exams in Economics Education
Onodipe, G., Ayadi, M. F., & Burke, K. (2026) · Journal of Economics Teaching · doi:10.58311/jeconteach/1857ce5b8076c7d7c2e6adb75f531cbd5c7ac473
- Authors
- Plata, S., De Guzman, M. A., & Quesada, A.
- Affiliations
- University of Santo Tomas (PH)
- ORCID
- Plata, Sterling
- Venue
- Asian Journal of University Education
- Published
- 2023-10-31
- Volume
- 19
- Issue
- 4
- Pages
- 743-758
- ISSN
- 1823-7797 (ISSN-L)
- 2600-9749
- OpenAlex
- W4389385057
- Cited by
- 65
- References
- 19
- Citations by year
- 2026: 26 · 2025: 22 · 2024: 16 · 2023: 1
- FWCI
- 16.26
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Asian Journal of University Education (publishedVersion)
- UiTM Institutional Repositories (Universiti Teknologi MARA) (acceptedVersion)
- Funders
- Harvard University
- Topics
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Law › Legal Issues in Education
- Keywords
- academic integrity, generative AI, ChatGPT, academic misconduct, university policy, classroom assessment practices, higher education institutions
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