Leveraging AI Image Generation in Art and Design Education: Prompt Engineering

Abstract

With an emphasis on prompt engineering in AI-driven picture generation, this study explores the revolutionary potential of AI-powered technologies, especially in the context of art and design education. The study uses a mixed-methods approach, integrating quantitative data analysis from pre- and post-workshop surveys with thematic analysis of participant remarks. The workshop, which aimed to give practical skills and theoretical understanding of AI image generators and prompt engineering principles, involved fifty university students enrolled in art and design degrees. The findings show that participants had a moderate amount of past experience and involvement with AI technology. They also had high expectations for learning useful skills and strong ideas about AI's potential to improve the creative process. Post-workshop data reveals improvements in participants' comprehension of image generator software, satisfaction with the workshop content, and intentions to use AI-driven image generation in future projects. Contextualizing these results within theoretical frameworks like computational creativity and human-AI collaboration, the discussion emphasizes how successful the workshop was in promoting a favorable view of AI technologies in art and design education. Future research directions and ethical issues are also covered. All things considered, the study offers insightful information about how AI technology might be incorporated into creative activity, opening doors for cutting-edge teaching strategies and improved artistic expression.