Faculty Information - Watanabe Kodai |

Watanabe Kodai

Department / Course

Hiroshima City University Graduate School Graduate School of Information Sciences Major in Intelligent Systems

Hiroshima City University Faculty of Information Sciences Department of Intelligent Systems

Job Research Associate

Winning science prize
2026/03	HU SPRING Office, Department of Research and Academia-Government-Community Collaboration Support, Hiroshima University HU SPRING Award 2025 (From Understanding Others to Meaning Construction in the AI Era: Expanding the Applications of the Recomposition Concept Map)
2026/02	Japanese Society for Information and Systems in Education Award of Excellence (Introduction and Experimental Evaluation of Self-Other Reconstruction for Supporting Collaborative Building of Shared Understanding Maps in Reconstruction-based Concept Mapping)
2025/03	HU SPRING Office, Department of Research and Academia-Government-Community Collaboration Support, Hiroshima University HU SPRING Award 2024 (What it Means to “Understand the Other Person’s Opinion” and “Comprehend a Text” - White-Boxing Learning with Recomposition Concept Map -)
2025/02	Japanese Society for Information and Systems in Education Award of Excellence (Verification of Structural Learning Effectiveness in Kit-Build Concept Mapping Compared to the SAFI Method)
2025/02	Japanese Society for Information and Systems in Education Award of Excellence (Analysis and Support for the Collaborative Building Process of Shared Understanding Concept Maps in Recomposition Concept Maps)
2025/02	Japanese Society for Information and Systems in Education Award of Excellence (Facilitating and Evaluating Predictive Recomposition Using a Generative Kit in Recomposition Concept Mapping)
2024/12	Hiroshima University Hiroshima University Excellent Student Scholarship
2024/10	HU SPRING Office, Department of Research and Academia-Government-Community Collaboration Support, Hiroshima University Excellent Poster Selection (What it Means to "Understand the Other Person's Opinion" and "Comprehend a Text" - White-Boxing Learning with Recomposition Concept Map -)
2023/02	Japanese Society for Information and Systems in Education Award of Excellence (Development and Evaluation of a Kanji Decomposition Exercise Environment Oriented Toward Active Recognition of Kanji Characters)
2021/09	Micro Learning Consortium Excellence in Learning Innovation Award (A Study on Re-Watch Recommendation Based on Proposition Explanation Order in Video Lecture Learning Using Kit-Build Concept Map)