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第26号 >


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Title: IRデータによる学生層と大学層の形成と評価のシミュレーション
Other Titles: Simulation of grouping and evaluating students and universities by IR data
Authors: 山田, 邦雅1 Browse this author →KAKEN DB
宮本, 淳2 Browse this author →KAKEN DB
細川, 敏幸3 Browse this author →KAKEN DB
Authors(alt): Yamada, Kunimasa1
Miyamoto, Atsushi2
Hosokawa, Toshiyuki3
Issue Date: Apr-2019
Publisher: 北海道大学高等教育推進機構高等教育研究部
Journal Title: 高等教育ジャーナル : 高等教育と生涯学習
Journal Title(alt): Journal of higher education and lifelong learning
Volume: 26
Start Page: 67
End Page: 76
Abstract: Abstract - Institutional Research (IR) in higher education not only gathers information from within the instituiton, but also collects a wide range of data without limitation, connects the with the student ID as a key and adjusts data to a standard among universities. Data gathered via such a policy might be able to reveal new concepts that could not be shown clearly until now. In this paper, we focus on the characteristic patterns of the university students' lifestyles as a concept that has been hard to determine and made an attempt to simulate them using the data. Using IR data of the Universities IR Consortium that includes 40 universities, the universities were divided into 6 types of students. In some combinations of these types, there were large differences in questionnaire results. We ran a simulation to determine unique features of the university using data from Hokkaido University according to a policy in which the characteristics appeared based on reference points of the categories in the university.
Type: bulletin (article)
Appears in Collections:高等教育ジャーナル = Journal of Higher Education and Lifelong Learning > 第26号

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