A Global Analysis of Universities Performance in the World Higher Education Institution Rankings

IF 2.3 Q1 EDUCATION & EDUCATIONAL RESEARCH
Diana Escandon-Barbosa, Jairo Salas-Paramo
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引用次数: 0

Abstract

This study aims to examine the factors that influence the performance of universities on a global scale. A learning curve method assesses the relationship between research, teaching, faculty, and student recognition and its impact on academic performance in all countries. The information used in the study comes from the three most essential rankings of universities worldwide, such as Times Higher Education, QS World University Rankings, and Academic Ranking of World Universities, from 2011 to 2022. As a central aspect of the study, it is essential to highlight that it is through the comparative analysis that the learning curves allow it to identify associations between the study variables on a global scale. In this way, it is possible to analyze the most significant effects on academic performance compared to other factors. On the other hand, it was also found that the results related to student acknowledgment are established as a distinctive factor, particularly among universities in the highest ranks. However, the general results tend to be more homogeneous as the ranking descends. Finally, academic performance is vital for any university institution that can serve as a platform for its strategic initiatives.
世界高等教育机构排名中大学表现的全球分析
本研究旨在探讨影响全球范围内大学绩效的因素。学习曲线法评估研究、教学、教师和学生认可之间的关系及其对所有国家学习成绩的影响。研究中使用的信息来自全球三个最重要的大学排名,如泰晤士高等教育,QS世界大学排名和世界大学学术排名,从2011年到2022年。作为本研究的一个中心方面,必须强调的是,通过比较分析,学习曲线使其能够在全球范围内确定研究变量之间的关联。这样,就有可能分析出与其他因素相比,对学习成绩影响最大的因素。另一方面,研究还发现,与学生认可相关的结果被确立为一个独特的因素,特别是在排名最高的大学中。然而,随着排名的下降,总体结果往往更加均匀。最后,学术表现对任何大学机构来说都是至关重要的,因为它可以作为其战略举措的平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.00
自引率
21.10%
发文量
33
审稿时长
12 weeks
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