2022 Fiscal Year Final Research Report
A Proposal for a Dropout Prevention Model for Universities: An Analysis of Inter-University and Inter-Point Dropout Rate Data
Project/Area Number |
18K13201
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Research Category |
Grant-in-Aid for Early-Career Scientists
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Allocation Type | Multi-year Fund |
Review Section |
Basic Section 09050:Tertiary education-related
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Research Institution | Fukuoka University |
Principal Investigator |
KONDA Hiroaki 福岡大学, 公私立大学の部局等, 准教授 (60734077)
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Project Period (FY) |
2018-04-01 – 2023-03-31
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Keywords | 退学 / 大学教育 |
Outline of Final Research Achievements |
In the first half of the study, through text mining and fieldwork, we confirmed individual and diverse reasons for dropping out, such as university entrance exams, human relationships, and lifestyle aspects. In the middle of the research, the Corona disaster began, and a drastic change in the withdrawal situation was anticipated. Therefore, we attempted to organize support for the self-assessment reports that had descriptions similar to those at the present time. We were able to report that each university is focusing on immediate support such as interviews, while efforts to conduct quantitative analysis of factors related to dropout based on educational data, find countermeasures, and apply them to the field are still in the process of being implemented. On the other hand, we have not been able to quantitatively analyze the rapidly changing corona disaster and the dropout situation since then, and we have not been able to formulate a dropout prevention model.
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Free Research Field |
大学教育、心理学
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Academic Significance and Societal Importance of the Research Achievements |
本研究では、主に大学の自己点検・評価報告書を対象にした大学における退学防止の現状の把握を行った。その結果、面談など即応的な支援が中心であり、大学が所有する教学データから計量的分析をして退学対策を見出して現場に活かす取り組みはまだ途上であることを報告した。教学等のデータを活用した退学防止の一般的な広がりは十分ではなく、今後の対策として可能性がある。コロナ禍やそれ以降の退学状況に関するデータの蓄積及び分析によるが、退学防止策の課題を示した。
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