Development of Inquiry-based Statistics Learning Environment to Assist in Data Analysis and Argumentation

2018 Fiscal Year Final Research Report

• Project/Area Number: 16K16312
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Educational technology
• Research Institution: Tokyo Institute of Technology (2017-2018); Waseda University (2016)
• Principal Investigator: Oura Hiroki 東京工業大学, 教育革新センター, 准教授 (90466871)
• Research Collaborator: Yoshikawa Ryo
• Project Period (FY): 2016-04-01 – 2019-03-31
• Keywords: 統計教育 / 反転授業 / シリアスゲーム

Outline of Final Research Achievements

The research goal was to develop an inquiry-based statistics learning environment that assists in data analysis and argumentation. As the outcome, developed was a game-based system that enables students to sample, analyze, and compare results in graph and table of statistical data. Also, a learning cycle model was proposed that engages students in preparation (with the game-based system), explanation (lecture), and exercise (discussion), by adding the preparation phase to the flipped classroom model with the sequence of explanation and exercise phases. Experiment and practical evaluation results show that students were able to engage in statistical problem solving with the game system in the preparation phase and could develop their statistical knowledge and skills along with the learning goals.

Free Research Field

教育工学・学習科学・科学教育

Academic Significance and Societal Importance of the Research Achievements

近年重要視されている統計的思考育成への高いニーズがある中，本研究の成果は特に初学者や数学や統計に苦手意識のために学習への動機や自己効力感をもてない学生に対して実際の授業でも活用できるシステムと授業設計を提案した点で社会的意義がある。また近年注目されている反転授業における説明（講義）動画→演習（討議）の学習サイクルに「形式的な説明を理解する準備としての問題解決活動」を加えた新たな学習サイクルを提案している点でも学術的意義を有すると考えられる。