Assessing ChatGPT adoption in Jordanian medical education: a UTAUT model approach
The adoption of ChatGPT in Jordanian medical education is driven by perceived utility and ease of use, with attitudes playing a pivotal role. Addressing misinformation risks and improving trust through tailored strategies can foster broader integration of AI tools, such as ChatGPT, in medical training.
Authors
- Mohammad Alkhatib (ORCID: https://orcid.org/0000-0003-0085-8990)
- Hamdah Hanifa (ORCID: https://orcid.org/0000-0003-2970-7379)
- Nihad A. Almasri (ORCID: https://orcid.org/0000-0002-3079-7327)
- Sakhr Alshwayyat (ORCID: https://orcid.org/0000-0002-2295-1945)
- Saif Aldeen AlRyalat (ORCID: https://orcid.org/0000-0001-5588-9458)
- Noura Alqaisi
- Saif Aburumman
- Nour Qassim
- Fatima Algroosh
Institutions
- University of Jordan (JO)
- Applied Science Private University (JO)
- King Hussein Cancer Center (JO)
- University of Kalamoon (SY)
- Methodist Hospital (US)
- Médecins Sans Frontières (JO)
Publication Details
- Journal
- BMC Medical Education
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1186/s12909-025-07336-y
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.27