2021 Fiscal Year Final Research Report
Economics of Education on Poverty and Disaster: How to Raise Children to Overcome Social Disadvantage and Hardship
| Project/Area Number |
16H02022
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Public finance/Public economy
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| Research Institution | Keio University |
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Principal Investigator |
NAKAMURO Makiko 慶應義塾大学, 総合政策学部(藤沢), 教授 (20598403)
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| Co-Investigator(Kenkyū-buntansha) |
藤澤 啓子 慶應義塾大学, 文学部(三田), 准教授 (00453530)
乾 友彦 学習院大学, 国際社会科学部, 教授 (10328669)
澤田 康幸 東京大学, 大学院経済学研究科(経済学部), 教授 (40322078)
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| Project Period (FY) |
2016-04-01 – 2021-03-31
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| Keywords | ランダム化比較試験 / 開発途上国 / 保育の質 / 保育環境評価スケール第3版 |
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| Outline of Final Research Achievements |
In this study, cluster-randomized controlled trials were conducted to examine the causal relationship between computer-based learning and students' academic achievement. In addition, we evaluate the quality of early childhood education. We quantitatively evaluated the childcare environment of small and medium-sized childcares using the Childcare Environment Evaluation Scale, 3rd Edition, and examined the relationship between various factors related to childcare quality (childcare environment, educational background and experience of the childcare professionals in charge of childcare, size of the preschool, and child-to-child ratio) and children's developmental status. This was extended to the local government and a quantitative evaluation of childcare quality was also conducted at licensed childcare centers in the same municipality over a three-year period from 2017 to 2019.
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| Free Research Field |
教育経済学
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| Academic Significance and Societal Importance of the Research Achievements |
現在日本では「GIGAスクール構想」という小中学生い一人一台の端末を無償提供する政策が進んでいるが、本研究課題の成果を踏まえれば、コンピュータというハードウェアだけでなく、「習熟度に合った指導」が実現できるような教育ソフトウェアやアプリに着目し、よりよいサービスの開発やその効果検証、教育現場での活用につなげていくことが重要ではないかと示唆される。また、待機児童が解消されつつある今、今後は保育所の「量」の拡充よりも「質」の担保が重要な課題となる。各施設で通常行われる質向上に向けての自律的な取り組みを尊重しつつ，質の確保についてのモニタリングとアカウンタビリティを実現する上で重要な知見となる。
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