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Evaluating higher education teaching performance using combined analytic hierarchy process and data envelopment analysis

机译:结合层次分析法和数据包络分析法评估高等教育教学绩效

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摘要

Evaluating higher education teaching performance is complex as it involves consideration of both objective and subjective criteria. The student evaluation of teaching (SET) is used to improve higher education quality. However, the traditional approaches to considering students’ responses to SET questionnaires for improving teaching quality have several shortcomings. This study proposes an integrated approach to higher education teaching evaluation that combines the analytical hierarchy process (AHP) and data envelopment analysis (DEA). The AHP allows consideration of the varying importance of each criterion of teaching performance, while DEA enables the comparison of tutors on teaching as perceived by students with a view to identifying the scope for improvement by each tutor. The proposed teaching evaluation method is illustrated using data from a higher education institution in Greece.
机译:评估高等教育的教学表现很复杂,因为它既要考虑客观标准,也要考虑主观标准。学生对教学的评估(SET)用于提高高等教育质量。但是,传统的考虑学生对SET问卷的回答以提高教学质量的方法存在一些不足。这项研究提出了一种综合的方法来进行高等教育教学评估,该方法结合了层次分析法(AHP)和数据包络分析(DEA)。 AHP允许考虑每个教学绩效标准的重要性,而DEA可以比较学生认为的教师教学情况,从而确定每个教师需要改进的范围。所提出的教学评估方法使用了来自希腊高等教育机构的数据进行了说明。

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