Cited by 17Artificial Intelligence in EducationAcademic integrity and plagiarismArtificial Intelligence in Healthcare and Education

Balancing innovation and ethics: promote academic integrity through support and effective use of GenAI tools in higher education

Kangwa, Daniel, Msafiri, Mgambi Msambwa, Fute, Antony·2025·AI and Ethics

Integrity signals

Registry

Crossref · 10.1007/s43681-025-00689-6

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Cites

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Authors
Kangwa, D., Msafiri, M. M., & Fute, A.
Affiliations
  • Zhejiang Normal University (CN)
  • Yulin University (CN)
Corresponding author
Kangwa, Daniel
Venue
AI and Ethics
Published
2025-03-11
Volume
5
Issue
4
Pages
3497-3530
ISSN
  • 2730-5953 (ISSN-L)
  • 2730-5961
OpenAlex
W4408283333
Cited by
17
References
18
Citations by year
2026: 9 · 2025: 8
FWCI
17.82
Type
journal article
Language
en
Open access
closed
Locations
AI and Ethics (publishedVersion)
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
generative AI, academic integrity, higher education, institutional guidelines, academic support, self-regulation, ethical use of AI, perceived usefulness and ease of use, data privacy, academic malpractice, critical thinking, learning outcomes

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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