Design of Collaborative Knowledge Building Environment Based on AIGC Technology

Abstract

This study designs and validates a novel collaborative knowledge-building environment based on generative artificial intelligence (AIGC) technology. The research first analyzes the technical characteristics of AIGC and its potential in collaborative knowledge construction, constructing a theoretical model that includes visual representation space, self-organizing community space, and embedded activity space. Through practical application, the study verifies the environment's effectiveness in supporting idea generation, resource utilization, idea convergence, and knowledge artifact creation. The results indicate that the environment demonstrates high user satisfaction in tool usability, resource support, AI interaction, and scaffolding effectiveness, significantly improving the efficiency and quality of collaborative knowledge construction. This research provides theoretical and practical support for the application of generative AI in education and offers insights for the design and optimization of future intelligent collaborative learning environments.