{"title":"Exploration of Higher Education Indicators and Universities' Characteristics in Japan","authors":"Yuan Sun, Naoya Todo, Shunya Inoue","doi":"10.1109/IIAI-AAI.2014.90","DOIUrl":null,"url":null,"abstract":"In recent years, there have been important and immediate requirements to diagnose and improve the quality of higher education in Japan. In this paper, we applied principal component analysis to explore higher education indicators based on a published basic education database of Japanese national and public universities, including educational and research expenditure, number of faculties, and book circulation per student. The results suggest that the characteristics of the universities can be captured by two dimensions of composite indicators in terms of input resources. The characteristics of the universities have also been analyzed and shown based on the two indicators.","PeriodicalId":432222,"journal":{"name":"2014 IIAI 3rd International Conference on Advanced Applied Informatics","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IIAI 3rd International Conference on Advanced Applied Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAI-AAI.2014.90","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In recent years, there have been important and immediate requirements to diagnose and improve the quality of higher education in Japan. In this paper, we applied principal component analysis to explore higher education indicators based on a published basic education database of Japanese national and public universities, including educational and research expenditure, number of faculties, and book circulation per student. The results suggest that the characteristics of the universities can be captured by two dimensions of composite indicators in terms of input resources. The characteristics of the universities have also been analyzed and shown based on the two indicators.
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