Research on the Design of Multi-Agent Education Architecture for Innovative Thinking

Abstract

This study focuses on the design of a multi-agent educational framework aimed at fostering innovative thinking. With the advancement of educational digital transformation, multi-agent systems, leveraging their role diversity and dynamic interaction capabilities, offer new perspectives for innovative education. The research proposes a multi-agent architecture model that includes a creativity conflict engine, cross-domain knowledge integration module, and innovation path visualization tools, and suggests corresponding multi-agent-driven educational practice pathways. This framework stimulates students' dialectical thinking through role opposition and collaboration, integrates interdisciplinary knowledge to aid in idea optimization, and uses visualization tools to systematically present and evaluate innovative outcomes. The study not only promotes educational model innovation but also provides theoretical and practical guidance for the application of multi-agent technology in the field of education, holding significant theoretical and practical importance.