Key Indicators for Student Performance at the E-Learning Platform: An Sna Approach

Slavko Rakic, Selver Softic, Mantas Vilkas, Bojan Lalic, Ugljesa Marjanovic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The trend to adopt more online technologies continues in the higher education sector. E-Iearning represents application of new technologies and methods in education. This paper explores the employment of digital technologies to facilitate and support virtual spaces for bringing learners together. We used Social Network Analysis (SNA) method to analyze the data collected from the e-learning platform. SNA provides a powerful mathematical approach to study the process of computer supported collaborative learning from a theoretical point of view. In this study, we empirically evaluated data from the e-learning platform to find key indicators for student performance. The research was conducted at the University of Novi Sad, Serbia. Results indicate significant relationships among performance of students and the use of educational resources from the e-learning platform.

Original languageEnglish
Title of host publicationICETA 2018 - 16th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings
PublisherInstitute of Electrical and Electronics Engineers
Pages463-468
Number of pages6
ISBN (Electronic)9781538679142
DOIs
Publication statusPublished - 10 Dec 2018
Event16th IEEE International Conference on Emerging eLearning Technologies and Applications, ICETA 2018 - Stary Smokovec, The High Tatras, Slovakia
Duration: 15 Nov 201816 Nov 2018

Conference

Conference16th IEEE International Conference on Emerging eLearning Technologies and Applications, ICETA 2018
CountrySlovakia
CityStary Smokovec, The High Tatras
Period15/11/1816/11/18

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Education

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