IJIET 2025 Vol.15(12): 2755-2769
doi: 10.18178/ijiet.2025.15.12.2470
doi: 10.18178/ijiet.2025.15.12.2470
AI Acceptance among Vietnamese University Students: Key Influencers and Perspectives
Nhon Dang1, Tien-Dung Cao1, Trung Vu Hieu Nguyen2,*, Thanh-Long Nguyen3,
Thanh-Dien Nguyen1, and
Mai-Lam Nguyen1
1. Tan Tao University, Tay Ninh, Vietnam
2. University of Management and Technology, Ho Chi Minh City, Vietnam
3. Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
Email: nhon.dang@ttu.edu.vn (N.D.); dung.cao@ttu.edu.vn (T.-D.C.); trung.nguyenvuhieu@umt.edu.vn (T.V.H.N.); ntlong@ntt.edu.vn (T.-L.N.); dien.nguyenthanh@ttu.edu.vn (T.-D.N.); lam.nguyen@ttu.edu.vn (M.-L.N.)
*Corresponding author
2. University of Management and Technology, Ho Chi Minh City, Vietnam
3. Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
Email: nhon.dang@ttu.edu.vn (N.D.); dung.cao@ttu.edu.vn (T.-D.C.); trung.nguyenvuhieu@umt.edu.vn (T.V.H.N.); ntlong@ntt.edu.vn (T.-L.N.); dien.nguyenthanh@ttu.edu.vn (T.-D.N.); lam.nguyen@ttu.edu.vn (M.-L.N.)
*Corresponding author
Manuscript received June 9, 2025; revised July 28, 2025; accepted August 5, 2025; published December 16, 2025
Abstract—This study investigates Vietnamese university students’ perceptions and acceptance of Artificial Intelligence (AI) in higher education, identifying key factors influencing their adoption. A multifaceted survey of 757 students across diverse academic disciplines in Southern Vietnam focused on seven variables: perceived usefulness, understanding, familiarity, accessibility, concerns, barriers, and the overall AI acceptance. Data were analyzed using Pearson correlation and explainable AI techniques, including Decision Tree Regressor and SHAP values with XGBoost Regressor. Findings revealed that 75% of respondents recognized AI’s potential benefits, but only 31% reported high familiarity with AI tools, and 40% indicated strong comprehension; 48% found AI tools easily accessible. Concerns about data security, AI errors, technical difficulties, and lack of training were significant barriers. Notably, the most important factor affecting AI acceptance was perceived usefulness. The study highlights the need to close the gap between theoretical knowledge and real-world AI application in Vietnamese higher education. It provides recommendations for students, institutions, policymakers, and AI developers to effectively leverage AI, aligning Vietnam’s AI education with global trends and enabling AI to play a transformative role in higher education.
Keywords—student acceptance, higher education, Vietnamese universities, explainable AI techniques, technology adoption
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Keywords—student acceptance, higher education, Vietnamese universities, explainable AI techniques, technology adoption
Cite: Nhon Dang, Tien-Dung Cao, Trung Vu Hieu Nguyen, Thanh-Long Nguyen, Thanh-Dien Nguyen, and Mai-Lam Nguyen, "AI Acceptance among Vietnamese University Students: Key Influencers and Perspectives," International Journal of Information and Education Technology, vol. 15, no. 12, pp. 2755-2769, 2025.
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).