Proceedings of the 2026 6th International Conference on Public Management and Intelligent Society (PMIS 2026)

2026 6th International Conference on Public Management and Intelligent Society (PMIS 2026)

📍Xiamen, China🗓️ 24-26 April 2026

AI-Supported Instructional Framework for Creative Fashion Design Education: A Quasi-Experimental Study

Authors
Qinghui Wang1, *, Qian Qiao1, Na Qu1
1Taishan University, Tai’an, Shandong, 271000, China
*Corresponding author. Email: wanghui@tsu.edu.cn
Corresponding Author
Qinghui Wang
Available Online 6 July 2026.
DOI
10.2991/978-94-6239-721-7_10How to use a DOI?
Keywords
AI-supported learning; Design education; Quasi-experimental study; Human–AI Interaction
Abstract

Generative artificial intelligence has introduced new computational tools for creative design, yet systematic workflows for integrating these technologies into design education remain limited. This paper proposes an AI-assisted design framework that combines generative models and digital garment simulation to support creative fashion design through a multimodal pipeline of theme definition, concept exploration, structural modeling, and digital validation. To evaluate the framework, a quasi-experimental study was conducted with 60 undergraduate participants over an eight-week studio course, measuring five indicators: design efficiency, creativity diversity, structural rationality, prototype completion, and learning satisfaction. The results show significant improvements across all indicators compared with conventional instruction (p < 0.001), demonstrating that the proposed framework provides an effective human–AI collaborative design pipeline for creative fashion design education.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 6th International Conference on Public Management and Intelligent Society (PMIS 2026)
Series
Advances in Engineering Research
Publication Date
6 July 2026
ISBN
978-94-6239-721-7
ISSN
2352-5401
DOI
10.2991/978-94-6239-721-7_10How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Qinghui Wang
AU  - Qian Qiao
AU  - Na Qu
PY  - 2026
DA  - 2026/07/06
TI  - AI-Supported Instructional Framework for Creative Fashion Design Education: A Quasi-Experimental Study
BT  - Proceedings of the 2026 6th International Conference on Public Management and Intelligent Society (PMIS 2026)
PB  - Atlantis Press
SP  - 93
EP  - 109
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-721-7_10
DO  - 10.2991/978-94-6239-721-7_10
ID  - Wang2026
ER  -