Integration of Generative AI Techniques and Applications in Student Behavior and Cognitive Achievement in Arab Higher Education

Abstract

The integration of Artificial Intelligence (AI) in higher education has the power to revolutionize the learning experience by fostering engagement, personalization, efficiency, and innovation. AI offers a wide range of exciting possibilities where AI-powered tools enable students to receive tailored feedback and guidance, enabling them to learn at their own pace and excel academically. This research aims to investigate the effects of generative AI techniques and applications on students’ cognitive achievement through student behavior. Data was collected through surveys in three Arab countries including Oman, Jordan and Yemen. 768 students from these Arab country’s universities were participated in completing surveys randomly. Structure Equation Modeling SEM-PLS was adopted to analysis data. Results reveal that generative AI techniques and applications have positive and significant effects on students’ cognitive achievement in Arab higher education institutions. Results also reveal that student behavior enhances the relationship among AI techniques, applications and cognitive achievement. These results highlight the crucial role of AI applications among students in higher education while the integration of this emerging technology is still at the first stage, students’ interaction with and utility of these applications show high satisfactory level of their impact on students’ behavior and cognitive achievement. This research contributes to literature of generative AI applications giving evidence from Arab region and filling the gap regarding usage of these applications in higher education.