Abstract
In Fall 2024, a three-week Generative AI (GAI) module was introduced in an undergraduate digital media course within a design program at a research-intensive public university in the U.S. This pictorial presents a unique approach to integrating GAI into a design studio through a proposed design education perspective, showcasing student work. Students first learned to use a GAI tool developed by the author, designed with a simplified UI and interactive design provenance, using a Stable Diffusion model. They practiced writing structured prompts to generate novel and appropriate design scenarios. In the second week, students were tasked with designing chairs, creating design scenarios using the AI tool, and translating them into design artifacts using AutoCAD. In the third week, students received feedback and refined their final chair designs. This pictorial explored a GAI design education paradigm, transitioning from scenario space to artifact space.
Keywords
Design Process; Design Education; Generative AI
DOI
https://doi.org/10.21606/iasdr.2025.552
Citation
Zhu, W., Li, L.,and Kim, S.(2025) A Generative AI Design Education Paradigm: From Scenario Space to Artifact Space, in Chang, C.-Y., and Hsu, Y. (eds.), IASDR 2025: Design Next, 02-05 December, Taiwan. https://doi.org/10.21606/iasdr.2025.552
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Track 12 - Design Education
A Generative AI Design Education Paradigm: From Scenario Space to Artifact Space
In Fall 2024, a three-week Generative AI (GAI) module was introduced in an undergraduate digital media course within a design program at a research-intensive public university in the U.S. This pictorial presents a unique approach to integrating GAI into a design studio through a proposed design education perspective, showcasing student work. Students first learned to use a GAI tool developed by the author, designed with a simplified UI and interactive design provenance, using a Stable Diffusion model. They practiced writing structured prompts to generate novel and appropriate design scenarios. In the second week, students were tasked with designing chairs, creating design scenarios using the AI tool, and translating them into design artifacts using AutoCAD. In the third week, students received feedback and refined their final chair designs. This pictorial explored a GAI design education paradigm, transitioning from scenario space to artifact space.