A Systematic Review of Factors Influencing the Acceptance of Generative Artificial Intelligence Applications in Yemeni Higher Education
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Abstract
Generative AI Applications have become revolutionary technologies that can help with academic evaluation, educational decision-making, and individualized learning. However, despite their technological potential, many higher education institutions especially those in poor nations continue to struggle with faculty and student acceptance of these applications. This study offers in order to determine crucial success variables impacting the acceptance, use and difficulties of generative AI applications, a thorough analysis of the literature. Research from databases including Google Scholar, Scopus, and IEEE Explore that were published between 2021 and 2025 was chosen. A conceptual model based on organizational, individual/psychological, legal/cultural/social, and technical variables is proposed in this study. It also generates hypotheses and evaluates the importance of crucial success variables. Additionally, it outlines the main obstacles to the acceptance of generative AI applications, as well as their limitations and potential future developments, which present a plethora of chances for the creation of various solutions.
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