Towards responsible generative AI in academia: a synthesis of AI policies on academic writing in the field of educational research
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cited works that were retracted
Works this paper cites that were later retracted, from the retraction notices publishers deposit. Major when the notice came out before this paper was published.
Cites a retracted work: 10.1057/s41599-025-04787-y
InfoThe cited work was retracted on 2026-04-22 (notice 10.1057/s41599-026-07310-z), not before this paper was published (2025-07-22).
Cited work 10.1057/s41599-025-04787-y · retracted 2026-04-22 · notice 10.1057/s41599-026-07310-z · this paper published 2025-07-22
“Wang, J., Fan, W.: The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: Insights from a meta-analysis. Humanit. Soc. Sci. Commun. 12(1), 621 (2025). 2025/05/06”
Cites
1 retracted
Wang, J., & Fan, W. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-04787-y · Cited by 322 · see citing works
Retracted(2001) · Cited by 25,534 · see citing works
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-019-0171-0 · Cited by 7,242 · cited 1× · see citing works
“First, edu - cational researchers have been relatively slower in responding to the implications of generative AI compared to their STEM counterparts [26].”
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., et al. (2023) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2023.102642 · Cited by 4,584 · see citing works
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
Artificial hallucinations in ChatGPT: implications in scientific writing
Alkaissi, H., & McFarlane, S. I. (2023) · Cureus · doi:10.7759/cureus.35179 · Cited by 1,540 · see citing works
A Review of Artificial Intelligence (AI) in Education from 2010 to 2020
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J.-B., Yuan, J., & Li, Y. (2021) · Complexity · doi:10.1155/2021/8812542 · Cited by 1,364 · cited 1× · see citing works
“Generative AI functions differently from traditional AI, act - ing less as a data-processing tool and more as a sophisticated writing assistant capable of generating coherent text [18, 19].”
Lund, B. D., Wang, T., Mannuru, N. R., Nie, B., Shimray, S., & Wang, Z. (2023) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24750 · Cited by 919 · see citing works
Gibbs, G. R. (2018) · SAGE Publications Ltd eBooks · doi:10.4135/9781526441867 · Cited by 682 · see citing works
Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies
Deng, R., Jiang, M., Yu, X., Lu, Y., & Liu, S. (2025) · Computers & Education · doi:10.1016/j.compedu.2024.105224 · Cited by 531 · see citing works
Schiff, D. (2022) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-021-00270-2 · Cited by 489 · see citing works
Imran, M., & Almusharraf, N. (2023) · Contemporary Educational Technology · doi:10.30935/cedtech/13605 · Cited by 421 · see citing works
Ganjavi, C., Eppler, M. B., Pekcan, A., Biedermann, B., Abreu, A., Collins, G. S., Gill, I. S., & Cacciamani, G. E. (2024) · BMJ · doi:10.1136/bmj-2023-077192 · Cited by 266 · see citing works
Kurtz, G., Amzalag, M., Shaked, N., Zaguri, Y., Kohen-Vacs, D., Gal, E., Zailer, G., & Barak-Medina, E. (2024) · Education Sciences · doi:10.3390/educsci14050503 · Cited by 181 · see citing works
Qualitative Research: The Essential Guide to Theory and Practice
Savin-Baden, M., & Howell Major, C. (2023) · doi:10.4324/9781003377986 · Cited by 162 · see citing works
Lund, B. D., & Naheem, K. T. (2023) · Learned Publishing · doi:10.1002/leap.1582 · Cited by 122 · see citing works
Ding, L., & Zou, D. (2024) · Education and Information Technologies · doi:10.1007/s10639-023-12402-3 · Cited by 122 · see citing works
Academic publisher guidelines on AI usage: A ChatGPT supported thematic analysis
Perkins, M., & Roe, J. (2023) · F1000Research · doi:10.12688/f1000research.142411.2 · Cited by 111 · see citing works
Is ChatGPT a “fire of Prometheus” for non-native English-speaking researchers in academic writing?
Hwang, S. I., Lim, J. S., Lee, R. W., Matsui, Y., Iguchi, T., Hiraki, T., & Ahn, H. (2023) · Korean Journal of Radiology · doi:10.3348/kjr.2023.0773 · Cited by 107 · see citing works
Amani, S., White, L., Balart, T., Arora, L., Shryock, K. J., Brumbelow, K., & Watson, K. L. (2023) · arXiv · doi:10.48550/arxiv.2304.14415 · Cited by 76 · see citing works
ChatGPT usage in everyday life: A motivation-theoretic mixed-methods study
Wolf, V., & Maier, C. (2024) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2024.102821 · Cited by 73 · see citing works
Perceptions and detection of AI use in manuscript preparation for academic journals
Chemaya, N., & Martin, D. (2024) · PLoS ONE · doi:10.1371/journal.pone.0304807 · Cited by 67 · see citing works
Mapping Ethical Artificial Intelligence Policy Landscape: A Mixed Method Analysis
Saheb, T., & Saheb, T. (2024) · Science and Engineering Ethics · doi:10.1007/s11948-024-00472-6 · Cited by 58 · see citing works
Applications of Artificial Intelligence Methodologies to Behavioral and Social Sciences
Robila, M., & Robila, S. A. (2019) · Journal of Child and Family Studies · doi:10.1007/s10826-019-01689-x · Cited by 54 · see citing works
Instructor Perceptions of AI Code Generation Tools - A Multi-Institutional Interview Study
Sheard, J., Denny, P., Hellas, A., Leinonen, J., Malmi, L., & Simon (2024) · Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1 · doi:10.1145/3626252.3630880 · Cited by 54 · see citing works
Balancing AI and academic integrity: what are the positions of academic publishers and universities?
Gulumbe, B. H., Audu, S. M., & Hashim, A. M. (2025) · AI & SOCIETY · doi:10.1007/s00146-024-01946-8 · Cited by 53 · see citing works
Hryciw, B. N., SEELY, A. J. E., & Kyeremanteng, K. (2023) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2023.1283353 · Cited by 48 · see citing works
ChatGPT giving advice on how to cheat in university assignments: how workable are its suggestions?
Spennemann, D. H. R., Biles, J. M., Brown, L., Ireland, M. F., Longmore, L., Singh, C., Wallis, A., & Ward, C. (2024) · Interactive Technology and Smart Education · doi:10.1108/itse-10-2023-0195 · Cited by 29 · see citing works
Keyword Analysis of Artificial Intelligence Education Policy in South Korea
Lee, J., & Jeong, H. (2023) · IEEE Access · doi:10.1109/access.2023.3317261 · Cited by 19 · see citing works
Guan, Q., & Yang-xi, H. (2025) · Innovations in Education and Teaching International · doi:10.1080/14703297.2025.2511062 · Cited by 8 · see citing works
Flagged first, then by citations
Cited by
Still being checked.
- Authors
- Hsu, H.-Y., Hakouz, A., & Fotouhi, G.
- Affiliations
- University of Massachusetts Lowell (US)
- Corresponding author
- Hsu, Hsien-Yuan
- Venue
- AI and Ethics
- Published
- 2025-07-22
- Volume
- 5
- Issue
- 5
- Pages
- 5467-5484
- ISSN
- 2730-5953 (ISSN-L)
- 2730-5961
- OpenAlex
- W4412558512
- Cited by
- 5
- References
- 30
- Citations by year
- 2026: 4 · 2025: 1
- FWCI
- 5.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- AI and Ethics (publishedVersion)
- Funders
- Donahue Humanities Ethics Fellowship
- Topics
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- generative AI, AI policy, academic writing, educational research, responsible AI use, disclosure, authorship, peer review, intellectual property, bias, fact-checking, confidentiality agreements, research ethics
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 ›
Are you an author, or do you see a problem with this page? Request a review