From Human–Machine Interaction to Collaborative Co-Creation: A Study on the AIGC-Empowered Teaching Model for Hair Embroidery Art Courses

Hair embroidery art education currently faces practical challenges, including a single mode of skill transmission and insufficient student motivation for innovation. With the development of Artificial Intelligence Generated Content (AIGC) technologies, their advantages in human–machine collaboration and cross-modal generation provide new pathways for teaching traditional craft arts.

This study takes a hair embroidery course at a vocational college in Yancheng, Jiangsu Province, as the research subject. By combining teaching experiments with questionnaire surveys, it conducts a comparative analysis of teaching outcomes before and after the integration of AIGC. The findings indicate that AIGC-assisted design significantly enhances students’ creative expression and increases the diversity of their works. Meanwhile, the human–machine collaborative model improves learning engagement.On this basis, this study constructs a new teaching model for hair embroidery courses and proposes pathways for optimizing curriculum structure and reconstructing evaluation systems, providing practical references for the pedagogical reform of intangible cultural heritage skills in the context of digital technologies.