Articles Vol. 67 No. CĐ3-NCKH 02/04/2026

ATTITUDES AND EXPECTATIONS TOWARD ARTIFICIAL INTELLIGENCE TOOLS IN LEARNING AMONG POSTGRADUATE STUDENTS AT HANOI MEDICAL UNIVERSITY IN 2025 AND ASSOCIATED FACTORS

Dau Van Dung1,2, Nguyen Thi Hai1,2, Tran Van Van1,2, Dang Hoang Nam1,2, Trinh Thi Huong1,2, Bui Quang Cong1,2, Ta Bich Hien1,2, Le Tran Vi Quynh1,2, Nguyen Thi Hai1,2, Tran Thi Kim Dung1,2, Le Xuan Hung1,2
1 Hanoi Medical University
2 Trường Đại học Y Hà Nội
DOI: 10.52163/yhc.v67iCD3.4751
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Keywords
artificial intelligence; ChatGPT; medical education; postgraduate students; attitudes and expectations.
Abstract

Objectives: To describe attitudes and expectations toward the use of artificial intelligence (AI) tools in learning and to analyze related factors among postgraduate students at Hanoi Medical University in 2025.

Methods: A cross-sectional study was conducted among 380 postgraduate students using a self-administered questionnaire. Data were collected online and analyzed using STATA 17.0.

Results: Overall, 73.02% of participants perceived the use of AI in learning as necessary or very necessary, reflecting positive attitudes and high expectations toward AI. ChatGPT was the most commonly used AI tool. A significant association was found between the level of AI knowledge and attitudes and expectations toward AI use in learning (p < 0.05), while no significant associations were observed with gender, year of study, or information technology skills.

Conclusions: Postgraduate students demonstrated positive attitudes and high expectations toward the use of AI for learning purposes. Integrating structured AI training into postgraduate medical education programs is necessary to meet practical needs and improve the quality of medical education.

References
[1]
Sallam M, Elsayed W, et al. ChatGPT usage and attitudes are driven by perceptions of usefulness, ease of use, risks, and psycho-social impact: a study among university students in the UAE. Front. Educ. 2024;9. DOI: 10.3389/feduc.2024.1414758 Google Scholar
[2]
Tao W, Yang J, et al. Utilization of, perceptions on, and intention to use AI chatbots among medical students in China: national cross-sectional study. JMIR Med. Educ. 2024;10:e57132. DOI: 10.2196/57132 Google Scholar
[3]
Bisdas S, Topriceanu C-C, et al. Artificial intelligence in medicine: a multinational multi-center survey on the medical and dental students’ perception. Front. Public Health. 2021;9. DOI: 10.3389/fpubh.2021.795284 Google Scholar
[4]
Mousavi Baigi SF, Sarbaz M, et al. Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: a systematic review. Health Sci. Rep. 2023;6:e1138. DOI: 10.1002/hsr2.1138 Google Scholar
[5]
Doumat G, Daher D, et al. Knowledge and attitudes of medical students in Lebanon toward artificial intelligence: a national survey study. Front. Artif. Intell. 2022;5. DOI: 10.3389/frai.2022.1015418 Google Scholar
[6]
Zhao X, Liu W, et al. Factors influencing medical students’ adoption of AI educational agents: an extended UTAUT model. BMC Med. Educ. 2025;25:1678. DOI: 10.1186/s12909-025-08234-z Google Scholar
[7]
Lee JWY, Tan JY, et al. Technology acceptance model in medical education: systematic review. JMIR Med. Educ. 2025;11:e67873. DOI: 10.2196/67873 Google Scholar
[8]
Abdallat M, AlSamhori JF, et al. Factors influencing the adoption of artificial intelligence among medical and dental students: a cross-sectional study at the university of Jordan. Adv. Med. Educ. Pract. 2025;16:993–1005. DOI: 10.2147/AMEP.S517110 Google Scholar
[9]
Syeda LH, Batool Z, et al. Medical undergraduate students’ awareness and perspectives on artificial intelligence: a developing nation’s context. BMC Med. Educ. 2025;25:1060. DOI: 10.1186/s12909-025-07223-6 Google Scholar
[10]
Katsantonis A, Katsantonis IG. University students’ attitudes toward artificial intelligence: an exploratory study of the cognitive, emotional, and behavioural dimensions of AI attitudes. Educ. Sci. 2024;14:988. DOI: 10.3390/educsci14090988 Google Scholar