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All Journal ASIAN JOURNAL FOR POVERTY STUDIES (AJPS) Health Dynamics
Nguyen Thi Mai, Nguyen Thi
Unknown Affiliation
Dentistry Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health Social Sciences

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POOR HOUSEHOLDS’ CREDIT ACCESSIBILITY: THE CASE OF RURAL VIETNAM Dao, Ha Thi Thieu; Kim, Nguyen Thien; Mai, Nguyen Thi
ASIAN JOURNAL FOR POVERTY STUDIES (AJPS) Vol 1, No 2 (2015)
Publisher : Regional Network on Poverty Eradication

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Abstract

This paper examines determinants of accessibility to rural poor households in Vietnam from the viewpoint of policy makers, credit institutions and poor households. From supply side annual report of provider will be cited, from demand side, VHLSS primary data provided by GSO will be used. Beside that semi-structured questionnaire survey will be conducted to collect qualitative information. Logit model is employed to investigate the determinants of their outstanding loan. The quantitative model’s results express that age, education, regional differentiation, industrial differentiation, land, asset affect to credit access of poor households. The qualitative analysis finds out some recommendations for adjustment the poverty reducing credit policy
ChatGPT Usage for Academic Purposes and Influencing Factors Among Students at Hanoi Medical University, Vietnam Kieu, Luu Thi Thu; Vinh, Phan Huu; Mai, Nguyen Thi; Linh, Trinh Khanh; Dai, Tran Xuan; Hanh, Tran Ngan; Linh, Nguyen Ngoc; Hang, Le Thanh; Giang, Hy Minh; Anh, Vu Thi Phuong; Thanh, Pham Cong; Son, Dang Cong; Dat, Le Minh
Health Dynamics Vol 2, No 5 (2025): May 2025
Publisher : Knowledge Dynamics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hd20502

Abstract

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.
Co-Authors Anh, Vu Thi Phuong Dai, Tran Xuan Dat, Le Minh Giang, Hy Minh Ha Thi Thieu Dao, Ha Thi Thieu Hang, Le Thanh Hanh, Tran Ngan Kieu, Luu Thi Thu Linh, Nguyen Ngoc Linh, Trinh Khanh Nguyen Thien Kim, Nguyen Thien Pham Cong Thanh Son, Dang Cong Vinh, Phan Huu