Determinants of student adoption of artificial intelligence applications in higher education.

ABSTRACT: The integration of artificial intelligence (AI) into educational settings has the potential to transform learning experiences; however, its adoption among students remains impacted by various factors. The current study assesses the determinant factors that shape students' willingness to adopt AI applications. A quantitative approach was applied, and data were collected from 211 undergraduate students at the University of Ha'il. The data were analysed via structural equation modelling (SEM) with the AMOS software. The results revealed that readiness, interactivity, and ethical awareness significantly affect students' adoption of AI applications, while trust and performance did not have a significant effect. These findings suggest that fostering AI adoption among students requires a holistic

SUBMITTER: Alshammari SH 

PROVIDER: S-EPMC12521575 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature