版式设计作为设计专业的重要基础课，其色彩搭配教学环节长期存在学生感性经验不足、配色效率低下、与商业场 景脱节等问题。本研究通过文献分析与教学实践相结合的方法，探讨在版式设计课程中AIGC 技术赋能色彩搭配教学的路径。 研究发现，AIGC 能在灵感激发、方案生成、智能评价、动态适配四个环节有效提升学生的色彩创意与商业理解力。教学实 践表明，AIGC 不仅提高了学生配色的效率与科学性，也促进了设计思维从感性经验向数据驱动转变。研究最后提出人机协 同的教学模式优化建议，为设计类课程的智能化改革提供可行路径。

As an important basic course for design majors, the color matching teaching link in layout design has long been plagued by problems such as students' insufficient perceptual experience, low color matching efficiency, and disconnection from commercial scenarios. This study combines literature analysis and teaching practice to explore the application path of AIGC (Artificial Intelligence Generated Content) technology in color matching teaching within layout design courses. The findings indicate that AIGC can effectively enhance students’ creativity and commercial understanding of color through four stages: inspiration stimulation, scheme generation, intelligent evaluation, and dynamic adaptation. Empirical results show that AIGC improves efficiency and scientificity in color matching and promotes the transformation of design thinking from perceptual experience to data-driven logic. Finally, the study proposes an optimized Human–AI Collaboration teaching model to provide references for the intelligent reform of design education.