-3bf97310184a13a8c1e-173 20230225073012334 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 03 30 2023 11 6 Department of Management Information Systems, College of Business Administration, Taif University, Saudi Arabia Latifa Alzahrani https://orcid.org/0000-0003-3182-0813 In this study, we aim to contribute to the existing literature on the implementation of artificial intelligence (AI) in education. We explore the factors that impact the behavior and attitude of students toward the use of AI in higher education. We employed a quantitative approach using a wide range of adoption theories and models, including the unified theory of acceptance and use of technology model. We formulated hypotheses and verified the conceptual model. A questionnaire was used to collect data from 350 students. The structural equation model (SEM) was applied to estimate the relationship between dependent and independent variables. Based on SEM results, we found that despite perceived risk negatively impacting students’ attitudes, the factors of performance expectancy and facilitating conditions significantly influenced students’ attitudes and their behavioral intention to use AI in education. The results also show that effort expectancy does not significantly influence attitudes toward AI use in higher education. Research limitations are discussed at the end of this study. 03 30 2023 65 73 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true No, I did not receive. No conflicts of interest to the best of our knowledge. Yes, required ethical approval and consent to participate with evidence. Not relevant. I am only the sole author of the article. 10.35940/ijrte.F7475.0311623 https://www.ijrte.org/portfolio-item/F74750311623/