open access

https://doi.org/10.14943/J.HighEdu.26.67

https://hdl.handle.net/2115/73556

Simulation of grouping and evaluating students and universities by IR data

日本語

2019-04

Institute for the Advancement of Higher Education, Research Division for Higher Education

Journal of higher education and lifelong learning

26

67-76

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.

紀要論文

Version of Record

1341-9374

AN10527626