Enhancing Soft Skills through Generative AI in Sustainable Fashion Textile Design Education

Citations

WEB OF SCIENCE

20
Citations

SCOPUS

31

초록

This study explores the significance of incorporating soft skill training in fashion design education through the use of artificial intelligence (AI) technology and examines various AI-based approaches for sustainable fashion textile design education employing a multifaceted methodology that encompasses empirical, quantitative, and qualitative methods. We investigate the aspects of Design Sprints, identify key soft skills that help students meet the complex demands of contemporary fashion design workplaces, propose a curriculum guide for AI textile design programs, and evaluate the soft skill training process. Participants included students who had completed basic fashion design courses over three to four semesters and had experience with the fashion design process. The findings confirmed that participants’ soft skills improved across four areas—digital competence, sense of initiative and entrepreneurship, problem-solving and thinking skills, and communication—through the AI-based fashion textile design curriculum. This study validates the importance of integrating AI technology into educational programs to enhance essential soft skills in the digital fashion industry environment. Additionally, it emphasizes the necessity of developing AI technology-specialized design prompts while maintaining a balance between traditional design education and digital design education for sustainable fashion design education. © 2024 by the authors.

키워드

AI-based fashion textile design educationDesign Sprintgenerative AIsoft skill enhancementsustainable fashion textile development
제목
Enhancing Soft Skills through Generative AI in Sustainable Fashion Textile Design Education
저자
Jung, DawoolSuh, Sungeun
DOI
10.3390/su16166973
발행일
2024-08
유형
Article
저널명
Sustainability
16
16