A qualitative survey on perception of medical students on the use of large language models for educational purposes
Open accessAbstract
The study demonstrates the student’s perspective on the role of large language models (LLM)-based chatbots in medical education. Students’ responses generated three major themes of various usage scenarios, how LLMs can enhance learning, and the ethical considerations in the integration of LLMs into medical curricula. By identifying both the benefits and limitations of LLMs in medical education, the study offers insights for educators and policymakers to navigate the complexities of LLM in educational settings.
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Italian physiotherapy students are still in an exploratory phase with AI Chatbots, showing a prevailing sense of uncertainty and skepticism and having yet to adopt a clear stance on the technology's advantages and disadvantages.
“As reported in the literature [21, 43], these results highlight a prevailing sense of uncertainty and skepticism, suggesting that Italian students are still in an exploratory phase with this emerging technology and have yet to adopt a clear stance on its advantages and disadvantages.”
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“…indicated that students’ positive perceptions of AI Chatbots were linked to their use in educational tasks such as synthesizing study material provided by professors [23, 37, 40, 43, 44], revising essays [23, 25, 37, 44], and preparing research grant proposals [21, 24, 34, 36, 37, 44, 62, 70].”
InfluentialImpact of generative AI in medical education in India: a systematic review
Mateen, A., Kumar, V., Singh, A. K., Yadav, B., Mahto, M., Hassan, A., & Nasir, N. (2025) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2025.1704785 · Cited by 8 · see citing works
- Authors
- Mondal, H., Karri, J. K. K., Ramasubramanian, S., Mondal, S., Juhi, A., & Gupta, P.
- Affiliations
- All India Institute of Medical Sciences, Deoghar (IN)
- All India Institute of Medical Sciences (IN)
- Government Medical College Omandurar (IN)
- Raiganj Government Medical College
- Corresponding author
- Mondal, Himel
- Venue
- Advances in Physiology Education
- Publisher
- American Physiological Society
- Published
- 2025-03-01
- Volume
- 49
- Issue
- 1
- Pages
- 27-36
- ISSN
- 1043-4046 (ISSN-L)
- 1522-1229
- OpenAlex
- W4403717095
- Cited by
- 28
- References
- 20
- Citations by year
- 2026: 16 · 2025: 12
- FWCI
- 2.60
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- AJP Advances in Physiology Education (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- 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
- large language models, LLM-based chatbots, medical students, student perceptions, medical education, educational technology, ethical considerations
- MeSH terms
- Artificial Intelligence, Education, Medical, Female, Humans, Language, Male, Natural Language Processing, Perception, Surveys and Questionnaires, Students, Medical, Qualitative Research, Young Adult
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