An Empirical Study of Education Divide Diminishment through Online Learning Courses
Ming-Yuan Hsieh 1 *
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1 Department of International Business, National Taichung University of Education
* Corresponding Author

Abstract

According to the swift development of education system, Taiwanese government is always devoting diminishing the educational divide between rural and urban regions. This research focuses on this educational divide by cross-employing the Grey Relational Analysis (GRA) of quantitative analysis and the Fuzzy Set Qualitative Comparative Analysis (fsQCA) of qualitative analysis in order to reinforce research reliability, validity and representativeness. These analysis method are used to assess the results of questionnaires given to professors’, senior industrialists’ and senior professionals’ experts. Two valuable conclusions are comprehensively induced from the evaluated results: (1) the autocorrelationships between the digital characteristics of Online Learning Courses (OLCs) and the level of rural-urban Education Divide (ED) are completely testified through the correlationships evaluations of the educational features Mediators that directly and powerfully resupply the educational research myth and gap and (2) Connectionization of Course Operation (C-CO) of the digital characteristics of Online Learning Courses (OLCs) is positive to effectively enhance the educational features of the students’ basic learning abilities (SBLA) and the education-institution learning capabilities (EILC) that empirically provide the most beneficial niche strategy to minimize the rural-urban Education Divide (ED).

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.12973/eurasia.2017.00712a

EURASIA J Math Sci Tech Ed, 2017 - Volume 13 Issue 7, pp. 3189-3208

Publication date: 15 Jun 2017

Article Views: 651

Article Downloads: 386

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