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