Author
Abstract
In recent years, the development of AI-powered applications has sparked a wave of innovation across multiple disciplines, including education. In addition, Vietnam's education has been oriented to promote the development and study of AI applications towards specific targets for the year 2030, as set out in Decision No. 127/QD-TTg dated January 26, 2021, and Resolution 57-NQ/TW. However, this integration progress has stumbled over multiple challenges in the past few years due to many external and internal elements. In particular, Vo and Nguyen (2024) noted that although the reliability of answers from AI models like ChatGPT remains questionable, most surveyed Vietnamese university students found them approachable and easy to use. Another study by Maheshwari (2023) asserted that assessment methods, test instructions, and educators’ approaches also need appropriate adjustments to align with these technological advancements. Therefore, this paper aims to investigate the factors influencing the introduction of AI technologies into universities in Vietnam using an integrated model proposed by Sharma and Singh (2024). Built on renowned theories such as the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and Perceived Organizational Support (POS), this model provided more comprehensive insights into the adoption of AI technologies in Vietnam. The results support the suggested hypotheses and recommend appropriate strategies for university students, academic staff, and policy makers for future use.
Suggested Citation
Minh Nguyen-Dong, 2026.
"An Empirical Study of UTAUT Model on the Adoption of AI Technologies in Vietnamese Higher Education,"
Studies in Educational Management, EUROKD, vol. 19, pages 56-77.
Handle:
RePEc:bco:semaaa::v:19:y:2026:p:56-77
DOI: 10.32038/sem.2026.19.04
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