Mohadis, Hazwani Mohd and Ismail, Irnani and Ibrahim, Ismail and Ahmed Maher, Zulfikar and Yaacob, Suraya and Che Azmi, Abdul Muizz (2025) Integrating AI Chatbot in medical education: a technology acceptance study of ChatGPT using UTAUT2. Journal of Advanced Research in Applied Sciences and Engineering Technology, 56 (1). pp. 215-239. ISSN 2462-1943
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Abstract
The integration of Artificial Intelligence (AI) chatbots into medical education represents a transformative shift, offering new opportunities for personalized learning while also presenting unique challenges related to user acceptance and institutional readiness. Adapted based on the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2), this study examines the factors influencing the adoption of ChatGPT among undergraduate medical students. Using a convenience sampling method, data were collected from 70 undergraduate medical students via an online questionnaire. The responses were analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM) to test the hypothesized relationships within the UTAUT2 framework. Findings reveal that Habit and Facilitating Conditions are significant predictors of students’ behavioural intention to use ChatGPT, emphasizing the role of prior behavioural usage patterns and institutional support in influencing ChatGPT adoption. In contrast, Performance Expectancy, Effort Expectancy, Hedonic Motivation, and Price Value did not exhibit significant influence on behavioural intention, suggesting that perceived usefulness, ease of use, enjoyment, and cost considerations are less influential in this context. These results contribute to the growing discourse on AI integration in medical education, The study highlights the need for acceptance and adoption strategies that go beyond enhancing functionality or user experience, and instead focus on cultivating habitual use and ensuring institutional support
| Item Type: | Article (Journal) |
|---|---|
| Uncontrolled Keywords: | Artificial Intelligence in education, AI Chatbot, ChatGPT, medical education, technology acceptance, UTAUT2, PLS-SEM |
| Subjects: | T Technology > T Technology (General) > T173.2 Technological change T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering. > T58.5 Information technology |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Medicine > Department of Internal Medicine |
| Depositing User: | Dr Hazwani Mohd Mohadis |
| Date Deposited: | 27 Aug 2025 14:42 |
| Last Modified: | 27 Aug 2025 14:42 |
| URI: | http://irep.iium.edu.my/id/eprint/122970 |
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