AI in Higher Education: Academic Integrity, Harmony of Insights, and Recommendations
Open accessAbstract
This scholarly inquiry examines the interplay between artificial intelligence (AI) and academic integrity within higher education. Through a comprehensive synthesis of academic literature, the study delves into the multifaceted implications of AI tools on academic practices, pedagogical approaches, and the evolving landscape of academic integrity within higher education. The findings, derived from an extensive analysis of scholarly works, offer profound insights into the challenges posed by the integration of AI in higher education. The impact on academic dishonesty, the nuances of pedagogical shifts, and the dynamic relationship between students and AI are scrutinized, contributing to a nuanced comprehension of the intricate dynamics within the academy.
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Uncritical reliance can undermine originality, authorship norms, and institutional trust.
“Responsible use may promote ethical reflection and conscientious academic behavior (Memarian & Doleck, 2023), yet uncritical reliance can undermine originality, authorship norms, and institutional trust (Chan, 2023;Eaton, 2022;Fowler, 2023;Grassini, 2023;Katsamakas et al., 2024;Malinka et al., 2023;Nazaretsky et al., 2025).”
From Academic Integrity and Students’ Ethical Use of ChatGPT in Higher Education (2026) · cites this paper as Fowler, 2023
The “AI and Academic Dishonesty” section (page not provided) describes AI-generated content and plagiarism as challenges to academic honesty, supporting the concern about originality and authorship norms. The “Academic Integrity Policies and Ethical Considerations” section discusses risks to institutional standards, but the copy does not address whether uncritical reliance undermines institutional trust. (LLM, conf=0.85)
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Cites
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Leading teachers' perspective on teacher-AI collaboration in education
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Flagged first, then by citations
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- He received his Ph.D. in Human Resource Development: Organizational Development and Change from the University of Texas at Tyler, M.B.A. in Management from Mississippi State University, M.S. in Hospitality Management from New Mexico State University, B.B.A. in Management from the University of Louisiana at Monroe. His doctoral research and dissertation focused on transitional and transformational leadership within organizational change. Email: david.fowler@lsus.edu
Cited by
Sorted by citations
Academic Integrity and Students’ Ethical Use of ChatGPT in Higher Education
Shishakly, R., & Nachouki, M. (2026) · Journal of Information Technology Education: Research · doi:10.28945/5730 · Cited by 4 · see citing works
- Authors
- Fowler, D. S.
- Affiliations
- Louisiana State University (US)
- Corresponding author
- Fowler, David S.
- ORCID
- Fowler, David S.
- Venue
- Journal of Ethics in Higher Education
- Published
- 2023-12-22
- Issue
- 3
- Pages
- 127-143
- ISSN
- 2813-4370 (ISSN-L)
- 2813-4389
- OpenAlex
- W4390097723
- Cited by
- 58
- References
- 4
- Citations by year
- 2026: 29 · 2025: 24 · 2024: 5
- FWCI
- 13.61
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Journal of Ethics in Higher Education (publishedVersion, cc-by-nc-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- artificial intelligence in higher education, academic integrity, academic dishonesty, AI-assisted learning, teaching methods, AI tools in education
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