Data Mining for the Teaching Development in Shadow Education
| Autor: | Zhi-Jie Huang, 黃芷婕 |
|---|---|
| Rok vydání: | 2017 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 105 The last two decades have seen growing importance placed on research in shadow education. The field of the shadow education in Taiwan has undergone many fluctuation and shifts over the years. The high cost of living and the necessity for both parents to work has given rise to notion that children are an unwelcome border. Shadow education in Taiwan is having trouble to get students and that is not the only problem of the situation. Shadow education is getting more and more in current market. However, research which has empirically documented the link between data mining and shadow education is scant. Therefore, the aim of this article attempts to explore how parents feel about “E” institute of education and their preference of subject course are related. This research involved a survey; the sample focuses on parents whose children study English at “E” Learning Institutes across Taiwan. A total of 1,860 questionnaires were distributed and 811 effective questionnaires. The quantitative analysis of the questionnaires was conducted through clustering analysis and association rules of data mining. In order to indicate the customer relationship and preferences of parents between related. To conclude, this study may be of importance in explaining development of CRM and new curriculum create, as well as in providing, manager of the institute with a better understanding of how parents feel about the institute relate to their strategy use. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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