Quality Assurance in Education through the Diploma Policy and President's Message - An Analysis Focused on Local Community

Kahori Ogashiwa, Toru Sugihara, Kumiko Kanekawa, Yuki Kitanaka, Kazuhisa Noguchi, Soichiro Aihara, M. Mori, S. Hirokawa
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引用次数: 1

Abstract

Universities play an important role as centers of local communities. In recent years, new faculties and graduate schools have been established for students to learn about solving problems through local community involvement. In this study, we conduct an inter-university comparison and analyze the common points and differences between eight targeted universities. These include national universities (nine departments) that use the word "community" ("chi-i-ki" in Japanese) in the name of a department. We use the term frequency-inverse document frequency (tf-idf), which is one of the popular indexes in text mining, and apply it to two documents, i.e., the diploma policy (DP) and the president's message (PM). We extracted two groups from the target universities. One group had relatively high tf-idf value in terms of the word "community" across the two documents. The other group had a relatively low tf-idf value in their DP. Furthermore, the word "community" does not appear in the PM. All universities have established faculties in order to connect with local communities, although the strategies of each university demonstrate different priorities from each other.
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文凭政策与校长贺词下的教育质素保证——以社区为中心的分析
大学作为地方社区的中心发挥着重要作用。近年来,学校建立了新的院系和研究生院,让学生学习如何通过参与当地社区来解决问题。在本研究中,我们进行了校际比较,分析了八所目标大学之间的共同点和差异。其中包括国立大学(9个系)在系名中使用“社区”(日语“chi-i-ki”)一词。我们使用了文本挖掘中常用的索引术语“频率逆文档频率”(tf-idf),并将其应用于文凭政策(DP)和总统留言(PM)两个文档。我们从目标大学中抽取了两组。一组在两份文件中“社区”一词的tf-idf值相对较高。另一组的DP的tf-idf值相对较低。此外,“社区”这个词没有出现在PM中。所有大学都建立了学院,以便与当地社区建立联系,尽管每所大学的战略表现出彼此不同的优先事项。
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