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

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  • Dawool Jung

    (Department of Fashion Design & Merchandising, College of Social Science, Gachon University, Seongnam-si 13120, Gyeonggi-do, Republic of Korea)

  • Sungeun Suh

    (Department of Fashion Design & Merchandising, College of Social Science, Gachon University, Seongnam-si 13120, Gyeonggi-do, Republic of Korea)

Abstract

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.

Suggested Citation

  • Dawool Jung & Sungeun Suh, 2024. "Enhancing Soft Skills through Generative AI in Sustainable Fashion Textile Design Education," Sustainability, MDPI, vol. 16(16), pages 1-21, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:16:p:6973-:d:1456334
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    References listed on IDEAS

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    1. Aras Bozkurt & Abdulkadir Karadeniz & David Baneres & Ana Elena Guerrero-Roldán & M. Elena Rodríguez, 2021. "Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    2. Jones, D.E. & Greenberg, M. & Crowley, M., 2015. "Early social-emotional functioning and public health: The relationship between kindergarten social competence and future wellness," American Journal of Public Health, American Public Health Association, vol. 105(11), pages 2283-2290.
    3. Lee, Garim & Kim, Hye-Young, 2024. "Human vs. AI: The battle for authenticity in fashion design and consumer response," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
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    Cited by:

    1. Yogesh K. Dwivedi, 2025. "Generative Artificial Intelligence (GenAI) in entrepreneurial education and practice: emerging insights, the GAIN Framework, and research agenda," International Entrepreneurship and Management Journal, Springer, vol. 21(1), pages 1-21, December.

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