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Operating Efficiency and its Effect from Innovative Teaching through Digital Mobile e-Learning for Public and Private High Schools

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  • Hsiang-Hsi Liu
  • Fu-Hsiang Kuo

Abstract

The goal of this research is to evaluate the innovative teaching to affect school efficiency through using digital mobile e-learning of high school in Taiwan. Based on Data Envelopment Analysis (DEA) and Tobit regression model (TRM). The empirical results of this research indicate the following results: (1) Importing digital mobile e-learning can really enhance the efficiency of school management. (2) School size, teacher-student ratio, School High-Vocational attribute, especially the numbers of technical teachers in teaching or consulting about digital mobile e-learning knowledge and numbers of Tablet PC (proxy for digital mobile e-learning) to affect efficiency of school management. Therefore, in order to increase students learning effectiveness in school, it is necessary to first add school size, Tablet PC numbers and technical teachers. However, total equipment expenses associated with tablet PC has a small negative influence on school management efficiency due to the increasing costs for furnishing the related internet and network equipment or device facilitate for teaching and learning among teachers and students by digital mobile e-learning. The results of this research can also be the reference for educational authorities when formulating policies and regulations for promoting digital mobile e-learning.

Suggested Citation

  • Hsiang-Hsi Liu & Fu-Hsiang Kuo, 2017. "Operating Efficiency and its Effect from Innovative Teaching through Digital Mobile e-Learning for Public and Private High Schools," Research in Applied Economics, Macrothink Institute, vol. 9(3), pages 70-90, September.
    • Handle: RePEc:mth:raee88:v:9:y:2017:i:3:p:70-90
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    References listed on IDEAS

    as
    1. Hsiang-Hsi Liu & Fu-Hsiang Kuo & Li-Hua Li, 2016. "The Operating Efficiency of Vocational and Senior High Schools in Xindian District of New Taipei City: Three Envelopment Models in DEA," International Business Research, Canadian Center of Science and Education, vol. 9(11), pages 116-125, November.
    2. 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.
    3. Valdmanis, Vivian, 1992. "Sensitivity analysis for DEA models : An empirical example using public vs. NFP hospitals," Journal of Public Economics, Elsevier, vol. 48(2), pages 185-205, July.
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    Cited by:

    1. Evon M. Abu-Taieh & Issam AlHadid & Rami S. Alkhawaldeh & Sufian Khwaldeh & Ra’ed Masa’deh & Ala’Aldin Alrowwad & Rabah Al-Eidie, 2022. "An Empirical Study of Factors Influencing the Perceived Usefulness and Effectiveness of Integrating E-Learning Systems during the COVID-19 Pandemic Using SEM and ML: A Case Study in Jordan," Sustainability, MDPI, vol. 14(20), pages 1-27, October.
    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.
    3. 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.

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