Evaluating a Custom Chatbot in Undergraduate Medical Education: Randomised Crossover Mixed-Methods Evaluation of Performance, Utility, and Perceptions
The custom chatbot improved usability; effects on deeper learning were not detected within the tasks studied. Future designs should support adaptive scaffolding, transparent sourcing, and critical engagement to improve educational value.
Authors
- Mandeep Gill Sagoo (ORCID: https://orcid.org/0000-0002-0906-1905)
- Jianwen Sun (ORCID: https://orcid.org/0000-0002-0951-1072)
- Stuart Knight
- Isaac Sung Him Ng (ORCID: https://orcid.org/0000-0002-0323-5740)
- Anthony Siu (ORCID: https://orcid.org/0000-0002-1647-4396)
- Anatoliy Markiv
- Chul Hwan Han
- Oscar Sing Him Ho
Institutions
- King's College London (GB)
Publication Details
- Journal
- Behavioral Sciences
- Published
- 2025-09-19
- DOI
- https://doi.org/10.3390/bs15091284
- Citations
- 2
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 4.96