评分与科学出版物:数据包络分析作为教师评估方法

H. Gómez A, S. Arias T., Willyams Castro C, Rocio Nunez-L, Freddy Robalino, J. Mauricio, Vizuete Munoz, Teodoro Alvarado-Barros, J. Mocha-Bonilla
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引用次数: 0

摘要

教师评价是学校发展的基本要素。事实上,有很多因素可以影响它。因此,考虑某些因素提供有关大学教授的表现和效率的信息的方式是很重要的。我们的建议包括使用数据包络分析,目的是展示如何充分估计评估和评分的参数,并将其与科学出版物进行比较。我们使用了来自两所大学的60名教授的数据。结果表明,有可能确定效率的障碍,并且可以单独或集体考虑这些参数,以确定教师评估的公正值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grading vs. scientific publications: Data envelopment analysis as a method of teacher assessment
Teacher' assessment comprises a basic element for the development of academy. In fact, there are many factors that can influence it. Therefore, it is important to consider the way in which certain factors provide information about the performance and efficiency of university professors. Our proposal consists of using data envelopment analysis with the aim of showing how one can adequately estimate the parameters of assessment and grading and see how this compares with scientific publications. We worked with data of 60 professors from two universities. The results show that it is possible to identify barriers to efficiency, and that the parameters can be considered individually or collectively to determine a just value for teacher assessment.
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