Factors Affecting Ai Technology Adoption for Higher Education: Evidence from University Students
Year: 2025
Type: conference-paper
Study design: Observational Study
Abstract: This study investigates the variables affecting higher education's acceptance of Artificial Intelligence (AI) and computer based technologies through an extended Technology Acceptance Model (TAM). A five-point Likert scale was employed to collect responses from 201 Vietnamese students, and the data were subsequently analyzed using PLS-SEM implemented through SmartPLS. The most significant predictor of AI adoption behavior in education is attitude, which still has a significant impact on behavioral intention. The model's applicability was confirmed by the high reliability and validity of the scales. Additionally, this study highlights how the integration of AI and computer-driven analytics, such as cloud computing can be integrated to enhance academic performance monitoring and educational adoption. The study contributes theoretically by reaffirming the applicability of TAM in AI based education and practically by demonstrating how computerdriven analytics and intelligent learning platforms can enhance teaching quality, personalize learning experiences, and advance digital transformation in higher education.
Authors: Tuyen Ho Ngoc Kim, Luan Trong Nguyen
Institution: FPT University
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W7161237753