Sự hài lòng của sinh viên với AI hỗ trợ học tập: Các yếu tố ảnh hưởng và vai trò trung gian của cảm nhận tính hữu ích
Tóm tắt
This study aimed to identify factors influencing student satisfaction with artificial intelligence (AI) learning support and to test the mediating role of perceived usefulness based on the integration of the TAM and UTAUT models. Data were collected from 310 students at the University of Economics Ho Chi Minh City - Vinh Long Campus (UEH Mekong) and analyzed using partial least squares structural model (PLS-SEM) combined with multi-group analysis (MGA) by course, gender, and academic performance. The model results indicated that performance expectations, social influence, and facilitation positively impacted perceived usefulness, thereby promoting satisfaction. Although effort expectations did not have a significant impact on the overall sample, the MGA analysis found that effort expectations had a positive impact on female students and graduating students. This research contributes an integrated theoretical framework within the context of educational technology at local university branches in Vietnam. Furthermore, in practical terms, it proposes managerial implications to help education administrators shape policies that support and effectively utilize AI tools in academic environments to enhance student satisfaction.
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