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Utilizing the Quantile Regression to Explore the Determinants on the Application of E-Learning

Author

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  • Quang Linh Huynh

    (Tra Vinh University)

  • Thuy Lan Le Thi

    (Tra Vinh University)

Abstract

In this research, the quantile regression is applied to investigate the affecting factors associated with the application of e-learning. The findings provide a comprehensive picture about the relationships between the application of e-learning and its determinants. It sheds light on these complicated relationships that, at the different quantiles of the conditional distribution of e-learning adopting levels, the influence of the determinants on the application of e-learning is different. Moreover, this research also offers statistical evidence on the moderating role of students’ gender on the relationships between the application of e-learning and its determinants. The findings are useful to educational managers by offering them with a better understanding of the complex links associated with the application of e-learning. As a result, they can deliver better decisions on the choice and adoption of e-learning in their institutions.

Suggested Citation

  • Quang Linh Huynh & Thuy Lan Le Thi, 2014. "Utilizing the Quantile Regression to Explore the Determinants on the Application of E-Learning," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 4(2), pages 1-14, April.
    • Handle: RePEc:spp:jkmeit:1452
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