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

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

doi:10.3991/ijet.v15i02.11646

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.

Highlights

The application of new technologies (i.e. e-learning) has recorded growth in recent years [1]
This research examined the application of the Social Network Analysis (SNA) method, K-Means Clustering and Multiple Linear Regression to e-learning
The research was conducted at the University of Novi Sad, Serbia, with groups of students from Engineering Management and Engineering of Information Systems

Summary

Introduction

The application of new technologies (i.e. e-learning) has recorded growth in recent years [1]. Electronic learning environment provides meaningful contexts that combine skills and knowledge which are available to students [2]. Researchers have stated that students consistently scored higher grades and higher knowledge level with online tools than with the face-to-face teaching [1]-[3]. McKnight et al [4] argue that higher education institutions need to develop a strategy if willing to move from traditional towards e-learning. For this process, two aspects need to be considered – the observation of student performance on an e-learning platform, and the satisfaction of students [4]. Social Network Analysis (SNA) is one of the emerging fields of research for extracting useful information from social network data (i.e. e-learning platforms)

Objectives

Methods

Discussion

Conclusion