Üniversite Araştırmaları Dergisi

Yazarlar: Abdulkerim ÇALIŞKAN, Deniz KOÇAK, Yasin ERTÜRK

Konular:Sosyal

DOI:10.32329/uad.898187

Anahtar Kelimeler:Higher education; clustering algorithm; fuzzy c-means.

Özet: Higher education has a very important place in the education system in terms of preparing an environment for individuals to specialize and start operating in certain areas. Each country aims to design its higher education structure in a way that can meet the needs of the age by adding its own social and cultural values. In this context, it would be appropriate to express that showed a significant improvement in existing processes, despite the current problems of Turkey’s higher education system. This study is aimed to group 32 selected countries according to their higher education performances using the fuzzy c-means clustering algorithm. The higher education performances of the countries were analyzed in the clustering algorithm through the variables selected in education, employment, and economy categories. As a result of the study, the EU member and candidate countries (Turkey, Northern Macedonia, Serbia), together with Norway and Switzerland, were grouped into four clusters. Through these clusters, countries have been evaluated together with countries that have similar qualifications in terms of higher education performance, and the higher education competitiveness of the relevant countries has been compared. Thanks to the comparisons, some inferences were made regarding the higher education systems of the countries, and along with the current situation of Turkey, various suggestions have been presented to improve this situation.

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