Chen Yang

In the context of educational digital transformation, AIGC (generative AI) tools have gradually integrated into the teaching of Art and Design courses in vocational undergraduate education, providing new conditions for the creativity teaching for Digital Painting. Vocational undergraduate education aims to cultivate application-oriented and technical talents. However, conventional Digital Painting teaching still suffers from challenges such as limited space for creative training, relatively rigid teaching models, and insufficient articulation with industry practice. This study, based on the teaching characteristics of vocational undergraduate education, analyzes the functions, application methods and potential problems of AIGC tools in assisting Digital Painting creative teaching, and, integrating specific case studies, proposes improvement strategies for integrating technology with teaching.

AIGC, Vocational Undergraduate Education, Digital Painting, Creative Teaching

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