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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2012 Vol.4(2): 234-237 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2012.V4.458

Ranking Different Factors which Affect e-Learning Outcomes

Sepehr Ghazinoory and Masoud Afshari-Mofrad

Abstract—E-Learning as a new platform of training has attracted a lot of attention from researchers and practitioners in recent years. Many researchers tried to assess different factors which influence E-Learning outcomes. This study aims to examine seven most important factors which exist in the literature (including content, support, ease of use, reliability, computer self-efficacy, expert and culture) using an empirical approach. Participants are 247 students who are using technology-based education in Iran. Regression results showed that five variable including supports, ease of use, reliability, computer self-efficacy and culture, have a significant influence on E-Learning outcomes but two other variables including content and expert don’t show a significant effect. Also results of principle component analysis and latent moderated structuring (LMS) method reveal that “technical support” is the most important variable which affects web-based education.

Index Terms—E-Learning, LMS technique, outcomes, ranking.

Authors are with the Department of IT management, Tarbiat Modares University, Tehran, Iran (e-mail: Ghazinoory@ Modares.ac.ir, Masoud.Afshari@modares.ac.ir).


Cite: Sepehr Ghazinoory and Masoud Afshari-Mofrad, "Ranking Different Factors which Affect e-Learning Outcomes," International Journal of Computer Theory and Engineering vol. 4, no. 2, pp. 234-237, 2012.

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