Data Analysis Environment for Fostering Analytical Skills

2018 Fiscal Year Final Research Report

• Project/Area Number: 16K12563
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Learning support system
• Research Institution: Kansai University
• Principal Investigator: Kojiri Tomoko 関西大学, システム理工学部, 准教授 (40362298)
• Co-Investigator(Kenkyū-buntansha): 瀬田 和久 大阪府立大学, 人間社会システム科学研究科, 教授 (50304051)
• Project Period (FY): 2016-04-01 – 2019-03-31
• Keywords: アナリティカルスキル / データ分析 / データ整理 / 学習支援システム

Outline of Final Research Achievements

Analytical skills are the ability to properly analyze data and to extract and exploit useful findings. Such practical skills are acquired for specific data while repeating a series of analysis processes through trial and error.
The objective of this research is to propose the analysis methods that are appropriate for the target data, which is effective for fostering analytical skills, and establish their support environments.
This research focuses on implicit knowledge as target to derive, such as sensitivity, meta-cognition, and usage of English words. Our research 1) proposed environment where data can be analyzed by trial and error, and 2) constructed a system with support functions to promote better trial and error. Through the evaluation experiment using the constructed systems, we clarified the effectiveness of the analysis method and the support method.

Free Research Field

学習支援システム

Academic Significance and Societal Importance of the Research Achievements

従来はProject-Based Learning (PBL)や現場での実践をとおして経験的に獲得されてきたアナリティカルスキルに対し，その習得過程を明らかにしたうえでより良い支援方法を提案しようとする点は，過去にみられない独創的な試みである．本研究課題では，メタ認知や感性などの暗黙知の導出を目的としたデータ分析を提案しており，データマイニングや機械学習だけでは対応できない，より高度な情報処理ができるデータアナリストを効率的に育成することが可能になる．