The DOI matches its Crossref record.
ENAI Recommendations on the ethical use of Artificial Intelligence in Education
Open accessOverview
Integrity signals
Registry
Cites
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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?
In the citing paper
“The introduction of unauthorised content generation-'the production of academic work, in whole or part, for academic credit, progression or award, whether or not a payment or other favour is involved, using unapproved or undeclared human or technological assistance' (Foltýnek et al. 2023)-into higher education contexts poses potential threats to academic integrity.”
From Testing of detection tools for AI-generated text (2023) · cites this paper as Foltýnek et al. 2023
In the citing paper
“The office in a university that deals with complaints stated that most complaints were about the university failing to warn the students about plagiarism and its consequences [142].”
From Survey on Plagiarism Detection in Large Language Models: The Impact of ChatGPT and Gemini on Academic Integrity (2024) · cites this paper as [142]
Citations
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Testing of detection tools for AI-generated text
Weber-Wulff, D., Anohina-Naumeca, A., Bjelobaba, S., Foltýnek, T., Guerrero-Dib, J., Popoola, O., Šigut, P., & Waddington, L. (2023) · International Journal for Educational Integrity · doi:10.1007/s40979-023-00146-z · Cited by 582
“…academic work, in whole or part, for academic credit, progression or award, whether or not a payment or other favour is involved, using unapproved or undeclared human or technological assistance” (Foltýnek et al., 2023)—into higher education contexts poses potential threats to academic integrity.”
BackgroundMethodInfluentialSelf-citationTPACK in the age of ChatGPT and Generative AI
Mishra, P., Warr, M., & Islam, R. (2023) · Journal of Digital Learning in Teacher Education · doi:10.1080/21532974.2023.2247480 · Cited by 484
The Influence of ChatGPT on Student Engagement: A Systematic Review and Future Research Agenda
Lo, C. K., Hew, K. F., & Jong, M. S.-Y. (2024) · Computers & Education · doi:10.1016/j.compedu.2024.105100 · Cited by 392
Perkins, M., Roe, J., Postma, D., McGaughran, J., & Hickerson, D. (2024) · Journal of Academic Ethics · doi:10.1007/s10805-023-09492-6 · Cited by 234
Multimodality of AI for Education: Toward Artificial General Intelligence
Lee, G., Shi, L., Latif, E., Gao, Y., Bewersdorff, A., Nyaaba, M., Guo, S., Liu, Z., Mai, G., Liu, T., et al. (2025) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2025.3574466 · Cited by 199
Metadata
- Authors
- Foltynek, T., Bjelobaba, S., Glendinning, I., Khan, Z. R., Santos, R., Pavletic, P., & Kravjar, J.
- Affiliations
- Uppsala University (SE)
- Coventry University (GB)
- University of Wollongong in Dubai (AE)
- Corresponding author
- Bjelobaba, Sonja
- ORCID
- Venue
- International Journal for Educational Integrity
- Published
- 2023-05-01
- Volume
- 19
- Issue
- 1
- ISSN
- 1833-2595 (ISSN-L)
- OpenAlex
- W4367626063
- Cited by
- 180
- References
- 0
- Citations by year
- 2026: 54 · 2025: 69 · 2024: 34 · 2023: 23
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- International Journal for Educational Integrity (publishedVersion, cc-by)
- Uppsala University Publications (Uppsala University) (submittedVersion, public-domain)
- Research Online (University of Wollongong) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Pure (Coventry University) (submittedVersion, cc-by)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Education › Academic integrity and plagiarism
- Keywords
- artificial intelligence in education, ethical use of AI, ethics in education, responsible AI
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.
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