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A three-stage DEA model to evaluate learning-teaching technical efficiency: Key performance indicators and contextual variables

机译:评估学习教学技术效率的三阶段DEA模型:关键绩效指标和上下文变量

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This study evaluates the technical efficiency of the learning-teaching process in higher education using a three-stage procedure that offers advances in comparison to previous studies and improves the quality of the results. First, it utilizes a multiple stage Data Envelopment Analysis (DEA) with contextual variables. Second, the levels of super efficiency are calculated in order to prioritize the efficiency units. And finally, through sensitivity analysis, the contribution of each key performance indicator (KPI) is established with respect to the efficiency levels without omission of variables. The analytical data was collected from a survey completed by 633 tourism students during the 2011/12, 2012/13 and 2013/14 academic course years. The results suggest that level of satisfaction with the course, diversity of materials and satisfaction with the teacher were the most important factors affecting teaching performance. Furthermore, the effect of the contextual variables was found to be significant. (C) 2015 Elsevier Ltd. All rights reserved.
机译:这项研究使用三阶段程序评估了高等教育中学习教学过程的技术效率,该过程与以前的研究相比有进步,并提高了结果的质量。首先,它利用带有上下文变量的多阶段数据包络分析(DEA)。其次,计算超级效率级别,以便对效率单位进行优先排序。最后,通过敏感性分析,可以确定每个关键绩效指标(KPI)对效率水平的贡献,而不会遗漏任何变量。分析数据是从2011 / 12、2012 / 13和2013/14学年期间由633名旅游学生完成的一项调查中收集的。结果表明,对课程的满意度,材料的多样性和对老师的满意度是影响教学绩效的最重要因素。此外,发现上下文变量的影响是显着的。 (C)2015 Elsevier Ltd.保留所有权利。

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