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Pedagogy and Professional Development

AI Technology in the College Classroom: Detriment or Enhancement? 

Authors
  • Joohye Hwang (Thomas Jefferson University)
  • Chae Mi Lim (Thomas Jefferson University)
  • Shubha Bennur (Thomas Jefferson University)

Abstract

This study aims to assist educators in designing projects that integrate generative AI technology to enhance students’ adaptability, problem-solving skills, and ability to navigate AI-related challenges. Three undergraduate Marketing and Fashion projects were developed based on the Enhanced Learning Model, which emphasizes the educator's role in intellectually challenging students to acquire skills for applying novel technologies in practical settings. Tasks included conducting competitive analyses, creating 4Ps strategies, and designing infographics in Consumers in the Marketplace; generating 3D store layouts using AI tools in Visual Merchandising; and identifying brand extension opportunities in Fashion Licensing. Rubrics were created to evaluate the integration of course content into final outcomes while maintaining the originality of students' ideas. This study provides practical guidelines and assessment tools for incorporating generative AI into classrooms. Future research could explore student surveys and interviews to better understand the benefits and challenges of AI-driven projects from a student perspective. 

Keywords: generative AI, enhanced learning, college classroom, AI-integrated projects

How to Cite:

Hwang, J., Lim, C. & Bennur, S., (2025) “AI Technology in the College Classroom: Detriment or Enhancement? ”, International Textile and Apparel Association Annual Conference Proceedings 81(1). doi: https://doi.org/10.31274/itaa.18694

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Published on
2025-01-17

Peer Reviewed