DEVELOPMENT OF STUDENT PERFORMANCE AND INSTITUTIONAL EFFECTIVENESS IN UAE HIGHER EDUCATION THROUGH DATA ANALYTICS METHODS

This study aims to investigate how data analytics approaches affect the academic performance of students and the Effectiveness of the United Arab Emirates higher education institutions. It will examine how data-driven decision-making could help institutional outcomes, student learning results, and retention rates to be raised. The study also discusses the function of institutional Effectiveness as a mediator in the link between student academic performance and data analytics methodologies. A structured survey was used from a sample of 384 academics, managers, and decision-makers from UAE institutions to collect information for a quantitative investigation utilizing a correlational design. Using a Likert scale question of the survey, the data analytics approach, the data-driven decision-making capacity, institutional Effectiveness, and student academic performance were all assessed. SEM and AMOS were used to examine direct, indirect, and mediating effects and measure the correlations between the variables. The findings imply that data analytics approaches and data-driven decision-making assist pupils in raising their academic achievement via the institution's Effectiveness. The study clarifies the potential applications of data analytics to enhance student outcomes and institutional performance, therefore arming higher education institutions eager to maximize their data-driven operations with educated information.