Act-Learning Model using Real-world Sensing Data and Design of Learning Support Environment

2022 Fiscal Year Final Research Report

• Project/Area Number: 19H04222
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Basic Section 62030:Learning support system-related
• Research Institution: Hokkaido University
• Principal Investigator: Sugimoto Masanori 北海道大学, 情報科学研究院, 教授 (90280560)
• Co-Investigator(Kenkyū-buntansha): 稲垣 成哲 立教大学, 文学部, 特任教授 (70176387)
• Project Period (FY): 2019-04-01 – 2022-03-31
• Keywords: 実世界センシング

Outline of Final Research Achievements

A system for capturing users’ real-time activity to construct a novel learning support environment using a large-scale temporal-spatial data. The outcomes of this research are summarized as follows:(1) A visitor tracking system in a museum: To achieve the goal of this research, a real-time tracking using acoustic signals are developed and evaluated. Through experiments, the positioning performance was improved. In addition, a method for alleviating the performance deterioration in NLOS (non-line-of-sight) environments was devised and additional tracking functions using visible lights and PDR (pedestrian dead reckoning) are implemented, (2) Publications: The outcomes of this research are published in domestic/international journals and conferences.

Free Research Field

情報科学

Academic Significance and Societal Importance of the Research Achievements

本研究は、博物館等に代表される学校教育以外での学習活動データを通して、適切な学習文脈において適切な支援を行う学習環境の構築を目標とした点で従来研究と大きく異なる。本研究の特徴の１つは、測位システム技術を核とした情報学と実践を中心とする教育学の知見との融合であり、学術的意義が高いと言える。さらに、人工知能技術（計算機）の急速な進展による学習（人間）の危機が叫ばれている昨今の状況から、体験に基づく真の学習に　接近するための手法の提案として、その社会的意義は非常に高いと考える。