Factors Contributing to Higher Education Students' Acceptance of Artificial Intelligence: A Systematic Review

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Systematic review identifies key factors impacting AI acceptance in higher education students, suggesting implications for academic development.

The study highlights that technological factors are the most significant determinants of AI acceptance among students, and other aspects also influence this acceptance.
Results indicate the Technology Acceptance Model is frequently utilized to explain how students adopt artificial intelligence technologies in education.
The research employed systematic review methodology across multiple academic databases, ensuring comprehensive evidence from 112 selected studies.
Understanding these factors may guide future research addressing students' psychological well-being and their personal and academic growth in an AI-driven educational landscape.

Mukhamedkarimova et al. (2025) studied this question.

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Systematic review identifies key factors impacting AI acceptance in higher education students, suggesting implications for academic development.