创造力
服装设计
构思
设计教育
可持续设计
生成语法
计算机科学
工程管理
过程(计算)
知识管理
工程类
数学教育
人工智能
心理学
持续性
业务
广告
操作系统
历史
生物
社会心理学
考古
生态学
认知科学
服装
作者
Joo Young Lee,Sungeun Suh
出处
期刊:Sustainability
[Multidisciplinary Digital Publishing Institute]
日期:2024-08-23
卷期号:16 (17): 7262-7262
被引量:9
摘要
The rapidly increasing importance of technology integration and generative AI in the fashion industry is prompting changes in fashion design education. This study explored a new design methodology utilizing AI for sustainable and future-oriented fashion design education. The methodology involved consulting practitioners to select ChatGPT and Midjourney as AI tools and technology, pedagogy, and content knowledge (TPACK) as the theoretical framework. An AI prompt guide was developed based on specialized books, from which an educational program was created. An experiment with 30 third- and fourth-year fashion design students showed that their overall satisfaction with AI through TPACK was 4 out of 5, suggesting that TPACK enhances students’ creativity and efficiency through generative AI. Prompt guides received a satisfaction score of 4.7, indicating their usefulness for creative and efficient design outputs. AI-powered educational programs, like ChatGPT and Midjourney, also improved student creativity and learning efficiency, with ChatGPT scoring 4.5. However, concerns about technology dependency were noted. This study offers insights into integrating the latest technology into fashion design to improve process efficiency and creative output. This study not only provides a foundation for future research on AI design methodology but also explores practical directions for sustainable design in the fashion industry.
科研通智能强力驱动
Strongly Powered by AbleSci AI