aceArtificial Intelligence, Ethics, Academic and Research Integrity in Higher Education: A Bibliometric Analysis
Artificial intelligence (AI) offers considerable benefits to higher education, yet its adoption raises persistent concerns about ethics and academic and research integrity. Few studies have mapped this intersection bibliometrically. This study, therefore, analysed 213 journal articles published between 2015 and 2025 and indexed in Scopus and Web of Science, with record selection reported in accordance with PRISMA 2020. VOSviewer was used to examine publication trends, leading sources, highly cited studies, produ…
Scholarship on AI in higher education shows research integrity is under-examined relative to academic integrity, and African contributions remain limited, leaving gaps in governance evidence.
The study maps publication patterns rather than measuring real-world outcomes of AI use, and it finds that research integrity is under-examined and that empirical work is still needed.
Evidence
- Peer-reviewedJournal of Information Systems and Informatics2026-10-24
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Truvace Impact Record TRV-2026-2241, v1: “Artificial Intelligence, Ethics, Academic and Research Integrity in Higher Education: A Bibliometric Analysis.” Truvace, 2026-10-24. /record/TRV-2026-2241 (accessed at citation time). sha256 93c9723d977d3f03…
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