Integrating AI-generated art styles into traditional illustration design teaching course
Yan Fei Tang, Wai Yie Leong
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Source: Crossref
Published: Jul 15, 2025
DOI: 10.29333/ejmste/16602
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This study explores the integration of AI image-generation technology into traditional illustration education, focusing on projects centered on Chinese cultural elements (e.g., Dream of the Red Chamber, Dunhuang art). Through mixed-method analysis of 32 design students’ work and survey data, we evaluated AI’s impact on creative efficiency, cultural reinterpretation, and pedagogical challenges. Results indicate AI significantly accelerates design iteration and inspires conceptual exploration yet struggles with cultural accuracy–requiring human intervention to correct symbolic misrepresentations, emotional mismatches, and stereotyping. We propose a collaborative human-AI workflow that balances technological advantages with cultural integrity, offering a sustainable framework for design education.
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