research results

Promoting Organization for Future Creators, Associate Professor, Shotaro Naganuma

Overview:Using Kyushu University’s doctoral student support program “K-SPRING” as a research field, we developed an AI-assisted interdisciplinary education program. Researchers from informatics, learning sciences, and comparative literature collaborated on this research. Over two years, we conducted and analyzed interdisciplinary communication in two workshops: “Meet the K-SPRING Members 2023” and “Meet the KX-Program Members Summer School 2024”. Results have been continuously presented atprestigious international conferences.

Findings: In the first year, we developed and evaluated automation methods. The results showed that while groups with high research similarity reported higher rates of “enjoyment of interdisciplinary communication,” the difference from low-similarity groups was not as significant as expected. In the second year, moving beyond automation, we provided a learning environment where participants had unlimited use generative AI, analyzing how they could develop interdisciplinary research proposals through interdisciplinary communication. The results revealed that our approach enabled students to create high-quality interdisciplinary research proposals, and they effectively incorporated GenAI’s ideas into the group members’ idea development process. These findings have been accepted at ISLS2024 and ISLS2025, top international conferences in learning sciences field.

Future plan

1. Submit two peer-reviewed English papers to top 10% journals in the field as project outcomes
2. Apply for Grant-in-Aid for Scientific Research (A) to expand this project with additional members