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

Quang Linh Huynh () and Thuy Lan Le Thi ()
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Quang Linh Huynh: Tra Vinh University
Thuy Lan Le Thi: Tra Vinh University

Journal of Knowledge Management, Economics and Information Technology, 2014, vol. 4, issue 2, 14

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.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spp:jkmeit:1452

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