评估 2023 年土耳其大学的学术表现:MEREC-WEDBA 混合方法论

Karahan Kara, G. C. Yalçın, E. G. Kaygısız, Sercan Edinsel
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引用次数: 0

摘要

有关大学排名的研究和报告是学生评估大学和了解其当前表现状况的重要工具。在学术文献中,大学排名是根据不同领域的不同标准确定的,每个标准的重要性各不相同。本研究采用多标准决策(MCDM)视角,分析 2023 年土耳其大学的学术表现排名。数据来源于《泰晤士高等教育》(THE)发布的六十一所大学的 2023 年报告,作为本研究的基础,THE 指标--教学、研究、论文引用、行业收入和国际视野--被视为主要研究标准。在确定标准权重时,采用了基于标准去除效应的方法(MEREC),而在大学排名时则采用了基于加权欧氏距离的方法(WEDBA)。研究发现,"引用率 "是最重要的标准。值得注意的是,排名靠前的大学包括恰尔卡亚大学、费拉特大学和巴切谢希尔大学。此外,通过将本研究的排名与 THE 大学排名进行比较,本研究还为大学提供了有针对性的建议。本研究强调了从大学绩效数据集中得出标准权重而不是依赖于固定权重的重要性,这有利于采用更加细致的方法进行大学排名。此外,本研究还介绍了土耳其六十一所大学的绩效排名,为大学部门的战略规划提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the Academic Performance of Turkish Universities in 2023: A MEREC-WEDBA Hybrid Methodology Approach
Research and reporting on university rankings serve as valuable tools for students in evaluating universities and understanding their current performance status. Within academic literature, university rankings are established using diverse criteria across various domains, each carrying varying degrees of importance. This study adopts a multi-criteria decision-making (MCDM) perspective to analyze the academic performance ranking of Turkish Universities in 2023. Data sourced from the 2023 reports of sixty-one universities from Times Higher Education (THE) serve as the basis for this research, with THE indicators—teaching, research, citations, industry income, and international outlook—considered as primary research criteria. The Method based on the Removal Effects of Criteria (MEREC) method is employed to ascertain criterion weights, while the Weighted Euclidean Distance-Based Approach (WEDBA) method is utilized for university ranking. The study identifies "citations" as the criterion of highest significance. Notably, the top-performing universities in the ranking include Çankaya University, Fırat University, and Bahçeşehir University. Furthermore, by comparing the rankings from this study with THE university rankings, the research offers tailored suggestions for universities. This study underscores the importance of deriving criterion weights from university performance datasets rather than relying on fixed weights, facilitating a more nuanced approach to university rankings. Moreover, it presents THE performance rankings for sixty-one Turkish universities, offering valuable insights for strategic planning within the university sector.
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