Factors Influencing Student Individual Performance of University XYZ Through the Use of Mobile Learning Management System

Abstract

This study investigates the impact of unsupervised learning within mobile Learning Management Systems (LMS) on student individual performance at university XYZ, Indonesia. We conducted data collection through online questionnaires distributed to university XYZ students and employed Partial Least Squares Structural Equation Modeling (PLS-SEM) for analysis. Our research extends the information system success model by integrating pedagogical and technological dimensions, specifically examining their influence on student individual performance while considering student satisfaction as a mediating factor. Our findings support six of the seven hypotheses, demonstrating the positive influence of ease of use, course quality, instructional quality, learning quality, and technology quality on user satisfaction and, subsequently, student individual performance. Notably, one hypothesis contradicts prior research, revealing that interaction quality does not significantly impact user satisfaction and, consequently, has no influence on student individual performance. These insights provide guidance for University XYZ in enhancing the quality of its mobile LMS and improving student satisfaction, ultimately leading to better graduate outcomes. Future research can further explore various dimensions of student performance within the mobile LMS context.