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

Authors

  • Slavko Rakic University of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovica 6, Novi Sad, Serbia
  • Nemanja Tasic University of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovica 6, Novi Sad, Serbia
  • Ugljesa Marjanovic University of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovica 6, Novi Sad, Serbia
  • Selver Softic CAMPUS 02 University of Applied Sciences, Degree Programme in IT & Business Informatics, Graz, Austria
  • Egon Lüftenegger CAMPUS 02 University of Applied Sciences, Degree Programme in IT & Business Informatics, Graz, Austria
  • Ioan Turcin CAMPUS 02 University of Applied Sciences, Degree Programme in Automation Technology, Graz, Austria

DOI:

https://doi.org/10.3991/ijet.v15i02.11646

Keywords:

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

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.

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Published

2020-01-29

How to Cite

Rakic, S., Tasic, N., Marjanovic, U., Softic, S., Lüftenegger, E., & Turcin, I. (2020). Student Performance on an E-Learning Platform: Mixed Method Approach. International Journal of Emerging Technologies in Learning (iJET), 15(02), pp. 187–203. https://doi.org/10.3991/ijet.v15i02.11646

Issue

Vol. 15 No. 02 (2020)

Section

Papers

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