Skip to main content
Design and Product Development

Integrating AI Image Generation in an Introductory Design Course

Authors
  • Colleen G Pokorny orcid logo (Oregon State University)
  • Bolanle Dahunsi orcid logo (Oregon State University)
  • Adam Vester (Oregon State University)
  • Marianne Dickson (Oregon State University)

Abstract

This paper describes our process of integrating an AI image generation tool (Copilot) for design ideation and an evaluation of students’ perceptions of and willingness to adopt AI for creativity. Students created mood boards through iterative prompt engineering and evaluated AI’s impact on their perceived creativity, originality, and adoption. Fifty students completed the assignment and post-survey. 92% felt their final mood board matched their desired aesthetic, 80% agreed AI enhanced their creativity, and 76% were likely to use AI in the future. Students noted that prompt quality strongly influenced outcomes, and they often combined AI-generated images with personal imagery, producing unique hybrid boards. While AI accelerated brainstorming and visualization, concerns included originality and sustainability. Ultimately, integrating AI tools into our design curriculum not only enhances students' perceived creative processes but also prepares them for the evolving demands of the industry.

 

Keywords: Generative artificial intelligence, prompt engineering, design education, computer-aided design, mood board

How to Cite:

Pokorny, C. G., Dahunsi, B., Vester, A. & Dickson, M., (2025) “Integrating AI Image Generation in an Introductory Design Course”, International Textile and Apparel Association Annual Conference Proceedings 82(1). doi: https://doi.org/10.31274/itaa.21409

Downloads:
Download PDF
View PDF

92 Views

30 Downloads

Published on
2025-12-17

Peer Reviewed