Integrating ChatGPT into knowledge-retrieval tutorials in undergraduate medical education
A prospective evaluation of higher-order learning and feasibility
Bibliographic Data
| ID | 15328001 |
|---|---|
| Authors | Roy Arokiam Daniel (0000-0001-8124-8160, Department of Community Medicine, ESIC Medical College and Hospital, KK Nagar), V Nivethitha (Vellore Institute of Technology University), Nivethitha V (0000-0002-5349-605X, School of Computer Science Engineering (SCOPE), Vellore Institute of Technology (VIT)), Surya BN (Chettinad Academy of Research and Education, corresponding author), Antoinette Daniel (Department of French, School of Social Sciences and Language, Vellore Institute of Technology (VIT)), Visalakshi R (Department of French, School of Social Sciences and Language, Vellore Institute of Technology (VIT)) |
| Year | 2026 |
| Volume | 31 |
| Issue | 1 |
| Pages | 2639203-2639203 |
| Publication date | 2026-03-02 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Medical Education Online (JOURNAL) |
| Journal identifiers | ISSN: 1087-2981 • E-ISSN: 1087-2981 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/10872981.2026.2639203 |
| PMID | 41769797 |
| OpenAlex | W7133186328 |
| Language | EN |
| References cited | 19 |
Supervised ChatGPT-assisted retrieval practice produced sustained improvements in higher-order cognitive performance, with particularly strong benefits for Lower-achieving students. This scalable, standards-aligned model holds promise for advancing CBME globally and warrants further validation through multi-institutional trials incorporating performance-based and clinical outcomes
Clinical Practice · Clinical trial · Cognition · Data collection · MEDLINE · AI in Service Interactions · Artificial Intelligence in Healthcare and Education · Clinical Reasoning and Diagnostic Skills
| Highly cited | No |
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