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

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

doi:10.1109/ICETA.2018.8572236

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

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

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

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.

Originalsprache	englisch
Titel	ICETA 2018 - 16th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers
Seiten	463-468
Seitenumfang	6
ISBN (elektronisch)	9781538679142
DOIs	https://doi.org/10.1109/ICETA.2018.8572236
Publikationsstatus	Veröffentlicht - 10 Dez. 2018
Veranstaltung	16th IEEE International Conference on Emerging eLearning Technologies and Applications, ICETA 2018 - Stary Smokovec, The High Tatras, Slowakei Dauer: 15 Nov. 2018 → 16 Nov. 2018

Konferenz

Konferenz	16th IEEE International Conference on Emerging eLearning Technologies and Applications, ICETA 2018
Land/Gebiet	Slowakei
Ort	Stary Smokovec, The High Tatras
Zeitraum	15/11/18 → 16/11/18

ASJC Scopus subject areas

Computernetzwerke und -kommunikation
Angewandte Informatik
Hardware und Architektur
Ausbildung bzw. Denomination

Zugriff auf Dokument

10.1109/ICETA.2018.8572236

Andere Dateien und Links

http://www.scopus.com/inward/record.url?scp=85060274080&partnerID=8YFLogxK

Dieses zitieren

Rakic, S., Softic, S., Vilkas, M., Lalic, B., & Marjanovic, U. (2018). Key Indicators for Student Performance at the E-Learning Platform: An Sna Approach. in ICETA 2018 - 16th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings (S. 463-468). Artikel 8572236 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICETA.2018.8572236

Key Indicators for Student Performance at the E-Learning Platform: An Sna Approach. / Rakic, Slavko; Softic, Selver; Vilkas, Mantas et al.
ICETA 2018 - 16th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings. Institute of Electrical and Electronics Engineers, 2018. S. 463-468 8572236.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Rakic, S, Softic, S, Vilkas, M, Lalic, B & Marjanovic, U 2018, Key Indicators for Student Performance at the E-Learning Platform: An Sna Approach. in ICETA 2018 - 16th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings., 8572236, Institute of Electrical and Electronics Engineers, S. 463-468, 16th IEEE International Conference on Emerging eLearning Technologies and Applications, ICETA 2018, Stary Smokovec, The High Tatras, Slowakei, 15/11/18. https://doi.org/10.1109/ICETA.2018.8572236

@inproceedings{b7650c5094c84c6dab63c31068a1498f,

title = "Key Indicators for Student Performance at the E-Learning Platform: An Sna Approach",

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.",

author = "Slavko Rakic and Selver Softic and Mantas Vilkas and Bojan Lalic and Ugljesa Marjanovic",

year = "2018",

month = dec,

day = "10",

doi = "10.1109/ICETA.2018.8572236",

language = "English",

pages = "463--468",

booktitle = "ICETA 2018 - 16th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "16th IEEE International Conference on Emerging eLearning Technologies and Applications, ICETA 2018 ; Conference date: 15-11-2018 Through 16-11-2018",

}

TY - GEN

T1 - Key Indicators for Student Performance at the E-Learning Platform

T2 - 16th IEEE International Conference on Emerging eLearning Technologies and Applications, ICETA 2018

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 paper

AN - SCOPUS:85060274080

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

Y2 - 15 November 2018 through 16 November 2018

ER -

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

Abstract

Konferenz

ASJC Scopus subject areas

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

Dieses zitieren