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

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.

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