Determinants of student adoption of artificial intelligence applications in higher education
This article investigates the key factors that determine student adoption of artificial intelligence applications in higher education. It highlights how these determinants influence students' willingness to use AI tools, providing crucial insights for the successful integration and wider acceptance of AI in academic settings.
Our Take
Understanding the determinants of student AI adoption is paramount for higher education institutions, as the successful integration of these tools hinges critically on user acceptance and engagement. This research directly addresses the broader trend of designing human-centric AI strategies within an evolving digital learning landscape, moving beyond mere technological capability. Therefore, educators and administrators must prioritize identifying and addressing the specific factors influencing student uptake, fostering truly effective, equitable, and widely adopted AI-enhanced learning environments.
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