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Examining the Critical Success Factors of E-Learning Using Structural Equation Model: A Case Study on the Mandatory Use

Examining the Critical Success Factors of E-Learning Using Structural Equation Model: A Case Study on the Mandatory Use

Original Research ArticleApr 19, 2023Vol. 23 No. 6 (2023) 10.55003/cast.2023.06.23.001

Abstract

Several researchers have studied e-learning success factors. However, there is rare research linking the success factors from the student perceptions to their data stored in the e-learning system, i.e., the student usage behavior and learning achievement.  In addition, there is little research in the literature on mandatory use contexts. Thus, this study aimed to systematically examine and investigate the critical success factors (CSFs) of e-learning used for e-learning evaluation, using an e-learning system in mandatory use as a case study. The study is based on the D&M IS success model, the user satisfaction model, and success factors of e-learning systems. A structural equation model was used to analyze the data collected from 221 undergraduate students who used the system. The results indicated that e-learning success factors were information quality, system quality, instructor characteristics, diversity of assessment, system use, user satisfaction, benefits, and learning performance. In addition, system use has a highly positive and significant effect on learning performance, whereas the perceived benefits are determined by system use, instructor characteristics, information quality, and user satisfaction. Besides, instructor characteristics, system quality, and diversity of assessment had positive impact on user satisfaction. The findings provide insights to practitioners, academics, and policymakers to help them focus on factors that can be used to improve and evaluate the e-learning system. Our study contributes to the body of knowledge on e-learning system success and evaluation in mandatory use contexts.

Keywords: critical success factors (CSF); e-learning success factors; information systems success; e-learning evaluation; structural equation modeling (SEM)

*Corresponding author: Tel.: (+66) 0899005668

                                              E-mail: srinual@it.kmitl.ac.th

References

1
Xaymoungkhoun, O., Bhuasiri, W., Rho, J.J., Zo, H. and Kim, M., 2012. The critical success factors of e-learning in developing countries. Kasetsart Journal of Social Sciences, 33(2), 321-332.
2
Kerzˇič, D., Tomazˇevič, N., Aristovnik, A. and Umek, L., 2019. Exploring critical factors of the perceived usefulness of blended learning for higher education students. PLOS One, 14(11), DOI: 10.1371/journal.pone.0223767.
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Nalintippayawong, S., Atchariyachanvanich, K. and Julavanich, T., 2017. DBLearn: Adaptive e-learning for practical database course: An integrated architecture approach. 2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), Kanazawa, Japan, June 26-28, 2017, pp. 109-114.
4
Bani-Salameh, B. and Fakher, S.A., 2015. E-learning critical success factors model: Empirical investigation. Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication, Batna, Algeria, November 23-25, 2015, pp. 1-6.
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DeLone, H.W. and McLean, R.E., 2003. The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30, DOI: 10.1080/07421222.2003.11045748.

Author Information

Srinual Nalintippayawong*

Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

Nattamol Kladyoo

Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

Juthamart Phengkhlai

Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

About this Article

Current Journal

Vol. 23 No. 6 (2023)

Type of Manuscript

Original Research Article

Keywords

critical success factors (CSF);
e-learning success factors;
information systems success;
e-learning evaluation;
structural equation modeling (SEM)

Published

19 April 2023

DOI

10.55003/cast.2023.06.23.001

Current Journal

Journal Cover
Vol. 23 No. 6 (2023)

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