A Methodological Research on Learning Analytics based on Sociophysical Approach

2015 Fiscal Year Final Research Report

• Project/Area Number: 26560120
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Educational technology
• Research Institution: Hiroshima University
• Principal Investigator: Koichi Yasutake 広島大学, 社会(科)学研究科, 准教授 (80263664)
• Co-Investigator(Kenkyū-buntansha): TAGAWA TAKAHIRO 九州大学, 情報基盤研究開発センター, 助教 (70304764) ; YAMAKAWA OSAMU 福井県立大学, 学術教養センター, 教授 (90230325)
• Co-Investigator(Renkei-kenkyūsha): NAKAMURA YASUYUKI 名古屋大学, 大学院情報科学研究科, 准教授 (70273208)
• Project Period (FY): 2014-04-01 – 2016-03-31
• Keywords: ラーニング・アナリティクス / 数理モデル / 教育工学 / データ分析 / 学習科学

Outline of Final Research Achievements

The purpose of this research is to shed the light into the fields of educational enginerring and learning sciences on "Learning Analytics", which is one of the recent new research topics in those disciplines. We propose a new approach based on "Sociophysical Approach", especially on Complex Networks Approach.

Free Research Field

経済物理学 教育工学