Fieldwork Learning Support Platform for Observation-based Discovery Learning

2023 Fiscal Year Final Research Report

• Project/Area Number: 19H01725
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Basic Section 09070:Educational technology-related
• Research Institution: Kansai University
• Principal Investigator: Kojiri Tomoko 関西大学, システム理工学部, 教授 (40362298)
• Co-Investigator(Kenkyū-buntansha): 林 佑樹 大阪公立大学, 大学院情報学研究科, 准教授 (40633524) ; 瀬田 和久 大阪公立大学, 大学院情報学研究科, 教授 (50304051)
• Project Period (FY): 2019-04-01 – 2023-03-31
• Keywords: 発見学習 / 観察学習 / 学習支援プラットフォーム / VR空間

Outline of Final Research Achievements

We proposed a framework for supporting knowledge acquisition from the observation in discovery learning, and demonstrated its effectiveness through experiments using the system.
To support the generation of hypotheses from observed contents, we clarified the process leading up to hypothesis generation, and developed the system that encourages students to externalize each step and provides feedback if a contradictory hypothesis is generated. To enable more diverse observations, we constructed a VR space in which the observed target can be designed. In the VR space, a system grasps objects that the student observed and generates questions that encourage the observation from different viewpoint. To support the knowledge acquisition, we also modeled the contradictions that arise when integrating knowledge gained from observation with existing knowledge. Then we constructed a system that leads to the observations that can resolve these contradictions.

Free Research Field

教育・学習支援システム

Academic Significance and Societal Importance of the Research Achievements

本研究課題はフィールドワーク型の発見学習において，観察から仮説をたて，活用できる知識として体系化するまでの活動を支援している．観察から仮説生成までの過程を明らかにしたり，観察結果と既存知識を統合する際に起こる矛盾を明示的に定義するというアプローチは，他の研究では見られず，新規性がある．また，構築したシステムより，学習者自身で発見学習で得られた知見を知識化でき，主体的に取り組めるようになることは，より創造的で自発的な人材の育成に寄与すると考えられる．