Potential effects of ChatGPT as a learning tool through students’ experiences
Abstract
Dear EditorChatGPT, a generative language model, has had a significant impact on the field of education. In the context of medical education, several researchers have focused on investigating its a...
Integrity signals
Registry
Cites
Statistics
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?
The application of GAI may be particularly effective for learning in disciplines such as clinical medicine, where decisions are based on background knowledge backed by solid evidence.
“Further, the application of GAI may be particularly effective for learning in disciplines such as clinical medicine [35], where decisions are based on background knowledge backed by solid evidence.”
From Developing Medical Education Curriculum Reform Strategies to Address the Impact of Generative AI: Qualitative Study (2023) · cites this paper as [35]
Cites
Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., Madriaga, M., Aggabao, R., Diaz-Candido, G., Maningo, J., et al. (2023) · PLOS Digital Health · doi:10.1371/journal.pdig.0000198 · Cited by 4,115 · see citing works
Aye, AI! ChatGPT passes multiple-choice family medicine exam
Morreel, S., Mathysen, D., & Verhoeven, V. (2023) · Medical Teacher · doi:10.1080/0142159x.2023.2187684 · Cited by 56 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Shimizu, I., Kasai, H., Shikino, K., Araki, N., Takahashi, Z., Onodera, M., Kimura, Y., Tsukamoto, T., Yamauchi, K., Asahina, M., et al. (2023) · JMIR Medical Education · doi:10.2196/53466 · Cited by 81 · see citing works
Chadha, N., Popil, E., Gregory, J., Armstrong-Davies, L., & Justin, G. (2025) · Medical Teacher · doi:10.1080/0142159x.2024.2341806 · Cited by 20 · see citing works
- Authors
- Hwang, J. Y.
- Affiliations
- Dongguk University (KR)
- Corresponding author
- Hwang, Jee Young
- ORCID
- Hwang, Jee Young
- Venue
- Medical Teacher
- Publisher
- Informa UK Limited
- Published
- 2023-09-21
- Volume
- 46
- Issue
- 2
- Pages
- 291-291
- ISSN
- 0142-159X (ISSN-L)
- 1466-187X
- OpenAlex
- W4386914457
- Cited by
- 6
- References
- 2
- Citations by year
- 2025: 1 · 2024: 3 · 2023: 2
- FWCI
- 0.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medical Teacher (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Keywords
- ChatGPT, generative AI, learning tools, student experience, medical education, artificial intelligence in education
- MeSH terms
- Humans, Learning, Students, Students, Nursing
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