Investigating Student Satisfaction with Moodle E-Learning System: A PLS-SEM Analysis

Authors

  • Dr. Chen Li School of Computer Science and Educational Technology, Beijing Normal University, China
  • Dr. Sara Al-Fadhli Department of Information Technology, Kuwait University, Kuwait

Keywords:

Student Satisfaction, Moodle, E-Learning System, Learning Management System (LMS)

Abstract

The widespread adoption of e-learning systems has fundamentally reshaped modern education, with Moodle emerging as a particularly prominent and globally utilized platform. The success and sustainability of such systems are critically dependent on the satisfaction of their student users. This hypothetical study aims to investigate the multifaceted factors influencing student satisfaction with the Moodle e-learning system, employing the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach to unravel these complex relationships. The research conceptualizes student satisfaction as influenced by various dimensions, including content quality, accuracy, format quality, ease of use, timeliness, instructor engagement, online support services, and perceived usefulness. A hypothetical research design involving a survey questionnaire, primarily adapting the End User Computing Satisfaction (EUCS) instrument, is proposed for data collection. The application of PLS-SEM is chosen for its suitability in developing theoretical models, identifying key dependencies among latent variables, and evaluating predictive capabilities. Anticipated findings suggest that factors such as perceived usefulness, ease of use, instructor engagement, and the quality of support services will significantly and positively influence overall student satisfaction. These results are expected to provide valuable theoretical contributions by refining existing models of e-learning satisfaction and offer practical recommendations for educators, system developers, and administrators to enhance the effectiveness and user experience of Moodle-based learning environments.

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Published

2024-06-14

How to Cite

Dr. Chen Li, & Dr. Sara Al-Fadhli. (2024). Investigating Student Satisfaction with Moodle E-Learning System: A PLS-SEM Analysis. Journal of Computer Science Implications, 3(1), 45–54. Retrieved from https://csimplications.com/index.php/jcsi/article/view/54