Integrative Design Thinking and AI-based Knowledge Support: Bridging Theory-Practice Gaps for Transdisciplinary Sustainable Innovation

抄録

This study introduces the concept of Integrative Design Thinking, expanding traditional design thinking by integrating expertise across diverse domains. We explore how AI-based knowledge support tools can foster transdisciplinary collaboration, bridging gaps between engineering and design. A case study at a Japanese university demonstrates that AI-supported knowledge exchange promotes deeper collaboration and problem-solving, contributing to sustainable innovation. The paper also outlines an educational program applying these principles to develop professionals capable of addressing real-world challenges through cross-disciplinary approaches. This new framework underscores the importance of adaptive learning, resource optimization, and interdisciplinary coordination and offers a scalable model for academic and industrial applications.