General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • APC: 800 USD
    • E-mail: editor@ijcte.org
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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).

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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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