Pedagogy and Professional Development

Generative AI in Fashion Forecasting: Enhancing Visualization and Learning

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Abstract

This study presents the implementation of a fashion forecasting project integrating generative artificial intelligence (GenAI) tools for trend visualization. This project utilized Adobe Firefly (GenAI) to enable students to create customized, brand-aligned visuals, replacing reliance on generic or outdated imagery. Through the development of theme, color, fabric, and style boards, students applied forecasting knowledge while gaining hands-on experience with emerging digital tools. The integration of GenAI enhanced students’ ability to communicate trend narratives clearly and creatively, resulting in high-quality, original outcomes. The process also strengthened students’ conceptual understanding, as they revisited industry forecasting reports to craft precise text prompts aligned with forecasting language and logic. This pedagogical approach not only advanced students’ visual storytelling and technical skills but also prepared them for evolving industry demands. The project demonstrates the value of GenAI in fashion education and provides a model for integrating emerging technologies to enhance curriculum relevance and student readiness.

Keywords: Generative AI, education, teaching, fashion, learning, forecasting

How to Cite:

Lee, J., (2025) “Generative AI in Fashion Forecasting: Enhancing Visualization and Learning”, International Textile and Apparel Association Annual Conference Proceedings 82(1). doi: https://doi.org/10.31274/itaa.21877