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 language | English |
|---|---|
| Title of host publication | ICETA 2018 - 16th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 463-468 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538679142 |
| DOIs | |
| Publication status | Published - 10 Dec 2018 |
| Event | 16th IEEE International Conference on Emerging eLearning Technologies and Applications, ICETA 2018 - Stary Smokovec, The High Tatras, Slovakia Duration: 15 Nov 2018 → 16 Nov 2018 |
Conference
| Conference | 16th IEEE International Conference on Emerging eLearning Technologies and Applications, ICETA 2018 |
|---|---|
| Country | Slovakia |
| City | Stary Smokovec, The High Tatras |
| Period | 15/11/18 → 16/11/18 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
- Education
Cite this
Key Indicators for Student Performance at the E-Learning Platform : An Sna Approach. / Rakic, Slavko; Softic, Selver; Vilkas, Mantas; Lalic, Bojan; Marjanovic, Ugljesa.
ICETA 2018 - 16th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings. Institute of Electrical and Electronics Engineers, 2018. p. 463-468 8572236.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Key Indicators for Student Performance at the E-Learning Platform
T2 - An Sna Approach
AU - Rakic, Slavko
AU - Softic, Selver
AU - Vilkas, Mantas
AU - Lalic, Bojan
AU - Marjanovic, Ugljesa
PY - 2018/12/10
Y1 - 2018/12/10
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85060274080&partnerID=8YFLogxK
U2 - 10.1109/ICETA.2018.8572236
DO - 10.1109/ICETA.2018.8572236
M3 - Conference contribution
SP - 463
EP - 468
BT - ICETA 2018 - 16th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings
PB - Institute of Electrical and Electronics Engineers
ER -