Adoption of Artificial Intelligence in Education Using UTAUT3 Theory: Experimental Study

Abstract

This study explores the adoption of AI educational tools among higher education students, using the UTAUT3 framework to examine factors that influence user acceptance, engagement, and academic outcomes. The study was conducted as an experimental study, in which participants were divided into treatment and control groups. The treatment group was granted access to an integrated AI educational system comprising intelligent tutoring, personalized learning, and AI-driven writing support. Performance expectancy, effort expectancy, social influence, and facilitating conditions are all influential factors that significantly impact the students' intent to use AI tools. Students belonging to the treatment group showed a significant change in engagement and performance. The results of this study bring to the fore promise of AI in personalizing learning with a strong technological support infrastructure and positive social contexts.