Assessing the Adoption of Artificial Intelligence in Higher Education
A Case Study of Hanoi Metropolitan University
DOI:
https://doi.org/10.3991/ijet.v21i01.59557Keywords:
Artificial Intelligence, Higher Education, Technology Adoption, Faculty Development, Educational Technology, Vietnam, Technology Acceptance ModelAbstract
This study is set out to examine the current situation of artificial intelligence (AI) application for Hanoi Metropolitan University’s faculty members; review challenges and opportunities; and propose a strategic framework of AI integration for teaching and learning. A mixed approach was employed, involving a survey with 156 lecturers across disciplines and sources of qualitative data—institutional documents and in-depth interviews with 20 lecturers. Theoretical background the study is based on the theoretical foundation of the technology acceptance model (TAM). The results suggest that a majority of faculty (67.9%) have tried out AI tools due to the hype of surface-level AI such as generative AI (e.g., ChatGPT) but are not integrating it into their educational practices, with 12.8% using it daily. There were major barriers such as absence of formal training (only 15.4% had any institutional training), lack of infrastructure, and perceived risks to academic integrity and data quality. There was substantial interest in professional development, with a request from 89.1% of faculty members for the AI-related courses. The study, in turn, reveals a real difference between what AI can do and what is used at the Hanoi Metropolitan University (HNMU) for teaching purposes. It argues that a strategic, top-down approach is required to transition from ad hoc use of digital technologies through to meaningful integration. A phased deployment model is recommended, with an emphasis on faculty development, infrastructure support, and well-defined institutional policy. These findings have implications for HNMU and other Vietnamese HEIs that are struggling with the complexities of digital transformation.
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Copyright (c) 2025 Nguyen Nang Hung, Ngoc Son Pham, Nguyen Tra My, Nguyen Thi Mai Anh, Tran Van Anh, Nguyen Thai Minh
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