Student Performance on an E-Learning Platform: Mixed Method Approach

Slavko Rakic, Nemanja Tasic, Ugljesa Marjanovic, Selver Softic, Egon Lüftenegger, Ioan Turcin

Abstract


E-learning is considered a leading application of digital technologies in educational systems. The aim of the paper is to explore the utilization and impact of digital technologies on an e-learning platform. For this purpose, research was conducted at the Moodle learning management system. Data from the e-learning platform were empirically evaluated in order to find key indicators of student performance in different courses. Student success with the e-learning system was evaluated using a mixed-method: Social Network Analysis, K-Means Clustering, and Multiple Linear Regression. The research was conducted at the University of Novi Sad, Faculty of Technical Sciences, Serbia. The results indicate a significant relationship between the performance of students and the use of digital educational resources from the e-learning platform.

Keywords


Moodle Learning Management System, E-learning, Social Network Analysis, student performance.

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Copyright (c) 2020 Slavko Rakic, Selver Softic, Nemanja Tasic, Ioan Turcin, Egon Lüftenegger, Ugljesa Marjanovic


International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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