Using customized GPT to develop prompting proficiency in architectural AI-generated images

Understand

This research investigates the use of customized GPT models to enhance prompting proficiency among architecture students when generating AI-driven images.

• Prompt engineering is increasingly essential in architectural education due to the widespread adoption of generative AI tools.
• This study utilized a mixed-methods experimental design involving architecture students divided into three distinct groups: a control group receiving no structured support, a second group provided with structured prompting guides, and a third group supported by both structured guides and interactive AI personas.
• Students engaged in reverse engineering tasks, first guessing provided image prompts and then generating their own prompts, aiming to boost critical thinking and prompting skills.