2023 Fiscal Year Final Research Report

Development of a dropout prediction model that incorporates academic data with students' on- and off-campus relationship data

Research Project

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Project/Area Number	20K02618
Research Category	Grant-in-Aid for Scientific Research (C)
Allocation Type	Multi-year Fund
Section	一般
Review Section	Basic Section 09020:Sociology of education-related
Research Institution	Kaetsu University
Principal Investigator	Shiratori Naruhiko 嘉悦大学, 経営経済学部, 教授 (70552694)
Co-Investigator(Kenkyū-buntansha)	田尻慎太郎北陸大学, 経済経営学部, 教授 (90410167) 宇田川拓雄嘉悦大学, 経営経済研究所, 客員教授 (30142764)
Project Period (FY)	2020-04-01 – 2024-03-31
Keywords	大学中退 / 学内外の人間関係 / 中退予測 / 学修状態
Outline of Final Research Achievements	This research developed a dropout prediction model that incorporates teaching and learning data with internal and external relationship data, and achieved three major results. The first is the development of a dropout prediction model. The second is the development of a dropout process model. We developed a dropout process model that uses relationship data and other data to understand time transitions related to dropout, and verified its effectiveness. The third is practical application. We presented dropout prevention measures using the dropout prediction model at domestic and international conferences, and proposed a practical method for dropout prediction.
Free Research Field	教育工学, データサイエンス, IR
Academic Significance and Societal Importance of the Research Achievements	親の社会階層が子の中退に影響を与えることはこれまでの研究により明らかだが、入試でコントロールすることは難しい。そのため、親の属性等の影響でリスクが高い学生はどのような在学中の行動プロセスをとるのかが明らかになれば、中退防止施策に新しい示唆を与えることができる。本研究はこれまでの中退予測研究に対して、中退行動に影響を及ぼす保護者や友人等の関係性や状態を予測モデルに導入した研究である。