INTEGRATING AI-DRIVEN TOOLS INTO FASHION DESIGN EDUCATION: PEDAGOGICAL CHALLENGES AND OPPORTUNITIES
DOI:
https://doi.org/10.32832/educate.v11i2.23969Keywords:
AI tools, Design Fashion Pedagogy, Challenges and OpportunitiesAbstract
Despite the growing integration of AI-driven platforms across educational disciplines, limited present studies specifically examines the pedagogical challenges and opportunities these technologies present within creative fashion design education. Understanding this intersection is critically important as fashion institutions increasingly demand technologically proficient educators capable of navigating AI-driven learning environments. This study aimed to investigate the pedagogical challenges and opportunities of integrating AI-driven tools among pre-service fashion design teachers in university. Employing a sequential mixed-methods design, data were collected through a validated Likert-scale questionnaire administered to 30 pre-service teachers, supplemented by in-depth interviews with 15 participants, analyzed through Braun and Clarke's (2021) thematic framework. Results revealed an overall mean of 4.20 (High), with challenges yielding a collective mean of 4.15 (Very High), dominated by difficulty mastering tools within course timeframes (M=4.65), platform costs (M=4.47), and academic integrity concerns (M=4.29). Opportunity dimensions marginally surpassed challenges with a collective mean of 4.26 (Very High), led by AI as creative support (M=4.47) and enhanced industry readiness (M=4.29). These findings indicate that while there are some barriers significantly impede AI integration in the classroom. However, pre-service teachers maintain strongly positive orientations toward AI transformative pedagogical potential in fashion design pedagogy.
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Copyright (c) 2026 Ria Maisalinia, Movi Riana Rahmawanti, Enni Erawati Saragih, Amany Fauzie Ridwan
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