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September 28, 2025

Empowering students through generative AI and cultural diversity in interdisciplinary fashion design education

Key Points

Integrating generative AI and cultural diversity enhanced students’ creativity and critical thinking.
52 students participated in the pilot course, indicating positive effects on teamwork and cultural awareness.
Grounded in Stanford’s design thinking framework, the course utilized various AI tools for design tasks.
The approach suggests potential applications in STEM fields, improving learning and fostering global relevance.

Abstract

Purpose This study aims to examine how integrating cultural diversity and generative AI into coursework can enhance students’ creativity, critical thinking and innovation, enabling them to design culturally aware products for the global market. Design/methodology/approach Grounded in Stanford’s design thinking framework, the proposed course designs were developed to incorporate a range of cutting-edge artificial intelligence (AI) tools. A portion of the curriculum was pilot-tested in actual college courses with 52 students to assess its effectiveness in achieving the intended learning outcomes. Findings Integrating generative AI and cultural diversity in a fashion design course enhanced students’ creativity, critical thinking, cultural awareness and teamwork. AI tools simplified research and design tasks for those with fewer technical skills, allowing them to focus on innovation, whereas cultural diversity fostered collaboration and the exchange of ideas for global markets. This approach could also apply to Science, Technology, Engineering, and Mathematics (STEM) fields like engineering, where AI supports coding and design to improve learning and develop globally relevant solutions. This study had some limits. It used a small group of students from one school, so the results may not fit all. Some AI tools produced errors or were difficult to use, highlighting the need for clarity about AI’s limitations and careful attention to cultural appropriateness in generated results. Future studies should have more students, better AI tools and focus on fair use. Originality/value This research integrates generative AI with cultural diversity in a fashion design course to develop product design and development skills for the global market – a combination rarely examined in existing studies. It demonstrates how AI can empower students from diverse backgrounds to collaborate creatively while honoring cultural authenticity.

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