Investigating the school characteristics/attributes via the relationships between school management efficiency and representative factors of mobile e-learning: DEA and data mining methodology

Liu Hsiang-Hsi; Kuo Fu-Hsiang

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Investigating the school characteristics/attributes via the relationships between school management efficiency and representative factors of mobile e-learning: DEA and data mining methodology

机译：通过学校管理效率与移动电子学习代表性因素之间的关系来调查学校特征/属性：DEA和数据挖掘方法

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The aim of this study is to detect the school characteristics/attributes by examining the efficiency of school management related to innovative teaching through digital mobile e-learning. This will be conducted by evaluating the results of DEA efficiency measure and data mining method (DMM).The results of DMM indicate that the schools with the total number of students in schools about 1400-3000 persons, the teacher-student ratio between 7.4 %-8.0 %, the tablet PC numbers about 1200-3000 units, the technical teacher ratio of digital mobile e-learning is about 8%-16% and the total equipment expenses associated with tablet PC about the range of 1.5-3.0 Million NTD could obtain higher operational efficiency of school management through Innovative Teaching via Digital Mobile e-learning. Based on the analytical results, the ranks of school management efficiency could divide into three groups, in the high-efficiency group (TE=1), there are three public high schools and one private higher vocational school. These all high schools are in northern Taiwan. In the medium-efficiency group (TE 0.85 similar to 0.99), there is only one school in northern Taiwan. The low-efficiency school group (TE 0.85), there are three public schools and one private high vocational school. The three public schools are in northern Taiwan while one private high vocational school is in eastern Taiwan. In practice, we find that the public high schools are more efficient than the private high schools and public high schools are more efficient than private high schools that can achieve digital mobile e-learning. Also, and schools located in northern Taiwan more efficient than elsewhere. These research findings can also become a reference for educational institutions in developing strategies and policies for digital mobile e-learning in high school of Taiwan area.

机译：本研究的目的是通过通过数字移动电子学习检查与创新教学相关的学校管理效率来检测学校特征/属性。这将通过评估DEA效率测量和数据挖掘方法（DMM）的结果进行。DMM的结果表明，学校与学校的学生总数约为1400-3000人，教师学生比率在7.4％之间-8.0％，平板电脑数量约为1200-3000单位，数字移动电子学习的技术教师比率约为8％-16％，与平板电脑相关的总设备费用约为1.5-3.0万NTD的范围通过通过数字移动电子学习创新教学获得学校管理的更高运营效率。基于分析结果，学校管理效率的级别可以分为三组，在高效组（TE = 1）中，有三所公立高中和一所私人高职院校。这些高中都在台湾北部。在中效组（类似于0.99的TE 0.85）中，台湾北部只有一所学校。低效学校组（TE＆ 0.85），有三所公立学校和一所私人高职学校。这三所公立学校位于台湾北部，而一个私立的高职学校位于台湾东部。在实践中，我们发现公众高中比私立高中更有效，公众高中比可以实现数字移动电子学习的私营高中更效率。此外，以及位于台湾北部的学校比其他地方更有效。这些研究结果也可以成为教育机构在台湾高中制定数字移动电子学习的战略和政策方面的参考。

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来源
《Journal of information and optimization sciences》 |2021年第4期|883-907|共25页
作者
Liu Hsiang-Hsi; Kuo Fu-Hsiang;
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Natl Taipei Univ Grad Inst Int Business New Taipei 23701 Taiwan;

Chaoyang Univ Technol Dept Informat Management Taichung 413310 Taiwan;

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正文语种 eng
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关键词
Technical efficiency; Digital mobile e-learning; Data envelopment analysis (DEA); Data mining methodology;

机译：技术效率;数字移动电子学习;数据包络分析（DEA）;数据挖掘方法;

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Investigating the school characteristics/attributes via the relationships between school management efficiency and representative factors of mobile e-learning: DEA and data mining methodology

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