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An Investigation of the Operational Efficiency of School Management through Innovative Teaching via Digital Mobile E-learning: DEA and Data mining Methodology

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  • Fu-Hsiang Kuo

Abstract

The goal of this research is to find out the factors or Determinants Affecting School Efficiency have the school to implement digital mobile e-learning and future tendency. The empirical results of this research indicate the following results: (1) In this study, we find that Importing digital mobile e-learning can really enhance the efficiency of school management. Furthermore, all these schools are located in Taipei City or New Taipei City. (2) Lastly, we also apply the data mining methodology to find that the teacher-student ratio, tablet PC numbers, technical teacher ratio, the total equipment expenses associated with tablet PC, School location and School attribute are important determinants for affecting the efficiency of school management. On the other hand, When the number of students decreases, too many teachers and technical teachers, as well as redundant equipment, etc., will become a burden on the school. Finally, these factors will affect school efficiency. The results of this research can also be the reference for educational authorities when formulating policies and regulations for promoting digital mobile e-learning. JEL classification numbers: C55, I28

Suggested Citation

  • Fu-Hsiang Kuo, 2021. "An Investigation of the Operational Efficiency of School Management through Innovative Teaching via Digital Mobile E-learning: DEA and Data mining Methodology," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(1), pages 1-1.
    • Handle: RePEc:spt:admaec:v:11:y:2021:i:1:f:11_1_1
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    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Fu-Hsiang KUO & Hsiang-Hsi LIU, 2017. "Upgrading school efficiencies and learning interests through innovative teaching of digital mobile e-learning," Journal of Social and Administrative Sciences, KSP Journals, vol. 4(4), pages 382-397, December.
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    5. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    6. Chen, Nengcheng & Xu, Lei & Chen, Zeqiang, 2017. "Environmental efficiency analysis of the Yangtze River Economic Zone using super efficiency data envelopment analysis (SEDEA) and tobit models," Energy, Elsevier, vol. 134(C), pages 659-671.
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    More about this item

    Keywords

    Technical efficiency; Digital mobile e-learning; Data envelopment analysis (DEA); Big data application; Data mining methodology.;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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