Construction and Actual Usage of Support Environment for Programming Practice with Big Data in Education

2022 Fiscal Year Final Research Report

• Project/Area Number: 20K03098
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 09070:Educational technology-related
• Research Institution: Future University-Hakodate
• Principal Investigator: Ito Kei 公立はこだて未来大学, システム情報科学部, 教授 (30303324)
• Co-Investigator(Kenkyū-buntansha): 竹川 佳成 公立はこだて未来大学, システム情報科学部, 教授 (60467678) ; 平田 圭二 公立はこだて未来大学, システム情報科学部, 教授 (30396121) ; 冨永 敦子 公立はこだて未来大学, システム情報科学部, 教授 (60571958) ; 寺井 あすか 公立はこだて未来大学, システム情報科学部, 教授 (70422540)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: プログラミング教育 / 教育支援 / 教育ビッグデータ / 学習尺度

Outline of Final Research Achievements

Many educational institutions have introduced LMSs, etc. and are accumulating a variety of educational data. It is useful to provide high-quality education by utilizing such educational BIGDATA and feeding back the analysis results to the educational field. In this research project, we mainly target programming education, analyze and model the data accumulated so far, construct a support system based on this data, and attempt to use the system in actual classes. In addition, based on the increase in programming opportunities outside of class and the provision of system development experience prior to PBL courses, we have conducted an annual on-campus hackathon and other events, and interviews with participating students have revealed that they have improved their non-cognitive abilities that cannot be obtained in regular classes.

Free Research Field

ソフトウェア工学

Academic Significance and Societal Importance of the Research Achievements

蓄積された教育BIGDATAから教育現場へのフィードバックを行うため，BIGDATAの分析とモデル化，それに基づく学習支援システムの構築の一例を示した．これは，さまざまな教育機関等において過去データからや教育現場へのフィードバックを行う一例となり，さまざまな教育の実践化や質の向上に役立つ一要素となり得る．