Factors influencing medical students’ adoption of AI educational agents: an extended UTAUT model
The findings indicate that for medical students, who are highly autonomous professional learners, the intrinsic value of an AI educational tool (i.e., its utility and ease of use) is the dominant factor in their adoption decisions, far outweighing the social influence of peers or authorities. Therefore, the key to successfully promoting such technologies lies in building users' intrinsic trust, reducing their perceived risks, and providing an engaging, immersive learning experience. These findings provide a solid empirical basis for the optimal design of medical AI educational agents and for strategies to effectively integrate them into the curriculum.
Authors
- Dan Xia (ORCID: https://orcid.org/0000-0002-7141-8055)
- Jia Chen (ORCID: https://orcid.org/0000-0002-9896-1656)
- Woon Chia Liu (ORCID: https://orcid.org/0000-0002-6607-9351)
- Ken Wang (ORCID: https://orcid.org/0000-0003-3497-5458)
- Xiaotian Xia (ORCID: https://orcid.org/0000-0002-3917-4361)
- Kaijian Bing (ORCID: https://orcid.org/0000-0003-2179-2986)
- Xiaoxiong Zhao
- Sansi Yue
Institutions
- Union Hospital (HK)
- Central China Normal University (CN)
- Wuhan Union Hospital (CN)
- Union Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- BMC Medical Education
- Published
- 2025-12-05
- DOI
- https://doi.org/10.1186/s12909-025-08234-z
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.96
Funders
- Central China Normal University