Exploring Two Models of AIGC-Driven Design Education: Dual-Instructor Collaboration and Human-AI Co-Creation

Abstract

The development of AI-Generated Content (AIGC) is transforming design education, shifting from the traditional instructor-student paradigm to a multi-agent, intelligent, collaborative learning model. Based on distributed cognition theory, this study analyzes two AI integration scenarios: (1) an AI-assisted self-directed learning model for teaching processes, and (2) an AI-assisted co-creation model for design practice. Course observations demonstrate that AI strengthens students’ abilities in information processing, creative ideation, and design solution refinement, facilitating a shift from individual to distributed collaborative cognition. This study off ers methodological and practical insights for advancing art and design education in the AIGC era.