Integrating AI-generated art styles into traditional illustration design teaching course

Yan Fei Tang; Wai Yie Leong

doi:10.29333/ejmste/16602

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Yan Fei Tang ¹ ² , Wai Yie Leong ² ^*

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¹ School of the Arts, Guangdong Peizheng University, Guangzhou Huadu, CHINA² Faculty of Engineering and Quantity Surveying, INTI International University, 71800 Negeri Sembilan, MALAYSIA^* Corresponding Author

Abstract

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.

Keywords

AI-generated art
cultural heritage
design education
human-AI collaboration
traditional illustration

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EURASIA J Math Sci Tech Ed, Volume 21, Issue 7, July 2025, Article No: em2668

https://doi.org/10.29333/ejmste/16602

Publication date: 15 Jul 2025

Article Views: 49

Article Downloads: 22

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How to cite this article

APA

Tang, Y. F., & Leong, W. Y. (2025). Integrating AI-generated art styles into traditional illustration design teaching course. Eurasia Journal of Mathematics, Science and Technology Education, 21(7), em2668. https://doi.org/10.29333/ejmste/16602

Vancouver

Tang YF, Leong WY. Integrating AI-generated art styles into traditional illustration design teaching course. EURASIA J Math Sci Tech Ed. 2025;21(7):em2668. https://doi.org/10.29333/ejmste/16602

AMA

Tang YF, Leong WY. Integrating AI-generated art styles into traditional illustration design teaching course. EURASIA J Math Sci Tech Ed. 2025;21(7), em2668. https://doi.org/10.29333/ejmste/16602

Chicago

Tang, Yan Fei, and Wai Yie Leong. "Integrating AI-generated art styles into traditional illustration design teaching course". Eurasia Journal of Mathematics, Science and Technology Education 2025 21 no. 7 (2025): em2668. https://doi.org/10.29333/ejmste/16602

Harvard

Tang, Y. F., and Leong, W. Y. (2025). Integrating AI-generated art styles into traditional illustration design teaching course. Eurasia Journal of Mathematics, Science and Technology Education, 21(7), em2668. https://doi.org/10.29333/ejmste/16602

MLA

Tang, Yan Fei et al. "Integrating AI-generated art styles into traditional illustration design teaching course". Eurasia Journal of Mathematics, Science and Technology Education, vol. 21, no. 7, 2025, em2668. https://doi.org/10.29333/ejmste/16602