ChatGPT Usage for Academic Purposes and Influencing Factors Among Students at Hanoi Medical University, Vietnam
Background: The advancement of artificial intelligence (AI) has unveiled numerous opportunities in medical education, with ChatGPT emerging as a prevalent learning support tool. However, the adoption rate and the determinants associated with the integration of ChatGPT among medical students remain under-researched. Methods: A cross-sectional study was conducted on 335 medical students at Hanoi Medical University. Data was collected using an online questionnaire in KoboToolbox, employing a convenience sampling method. The data was analyzed using Stata 17.0, employing descriptive statistics and multivariate logistic regression to examine the relationship between demographics, knowledge, and attitudes toward ChatGPT. Results: The results showed that 73.4% of students had used ChatGPT, with 68.7% using it to complete assignments and 61% believing that the tool helped save time and effort. However, only 17.9% were aware of ChatGPT's limitations. Positive knowledge and attitudes towards ChatGPT increased the likelihood of using the tool. Students with a good academic performance level were 3.25 times more likely to use ChatGPT than excellent students (OR=3.25; p=0.013), and the Dentistry department had the highest usage rate, 4.53 times higher than the General Medicine department. Conclusion: Medical students use GPT chat at a comparatively high rate. Integrating this tool into medical education requires specific guidelines to maximize benefits while ensuring accuracy and ethics.
Authors
- Lê Minh Đạt (ORCID: https://orcid.org/0000-0002-3240-2376)
- Vo Anh (ORCID: https://orcid.org/0000-0003-2463-2099)
- Phan Huu Vinh
- Thanh Pham (ORCID: https://orcid.org/0000-0001-7001-5011)
- Nguyen Thi (ORCID: https://orcid.org/0009-0007-2109-5992)
- Nguyễn Ngọc Linh
- Luu Thi Thu Kieu
- Dang Cong Son
- Trinh Khanh Linh
- Tran Xuan Dai
- Tran Ngan Hanh
- Le Thanh Hang
- Hy Minh Giang
Publication Details
- Journal
- Health Dynamics
- Published
- 2025-05-20
- DOI
- https://doi.org/10.33846/hd20502
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00