Logical integration of educational big data through common educational metadata and development of its application system

2016 Fiscal Year Final Research Report

• Project/Area Number: 15K12424
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Educational technology
• Research Institution: The Open University of Japan
• Principal Investigator: KATO HIROSHI 放送大学, 教養学部, 教授 (80332146)
• Research Collaborator: OTA Go 放送大学, 文化科学研究科
• Project Period (FY): 2015-04-01 – 2017-03-31
• Keywords: 教育工学 / Learning Analytics / 教育支援システム / パフォーマンス評価 / ビッグデータ / プログラミング教育 / 認知的徒弟制 / 変容的形成的評価

Outline of Final Research Achievements

A prototype of educational support system that integrates and analyzes learning history / behavior big data, and provides teaching materials and guidance information to teachers / students was developed. First, in respect to learning history, we developed a learning activity collection system based on SNS. In order to realize "subjective, interactive and deep learning", transformative evaluation, in which individual learning processes is evaluated arbitrarily in detail and to change the goal flexibly, and cognitive apprentice approach for educational treatment were incorporated in the logical design of the system. Specifically, we have developed an e-portfolio for programming education with Scratch and an educational support system centered on automatic performance evaluation.

Free Research Field

教育工学