A Generative AI Prompt Instructional Model for Public Design

This study aims to foster students' creative ideation in public-design education by strategically integrating Generative AI tools.As the prevalence of such tools in design curricula grows, their pedagogical affordances and constraints have become increasingly evident.To leverage them more effectively, the research proposes an instructional model tailored to public-design contexts.Grounded in the Design Council's Double Diamond design thinking process, the model proceeds through four phases-Exploration and Understanding, Analysis and Definition, Idea Expansion, and Visualization-and employs Wrtn and MidJourney as exemplar tools.At each phase, learners craft prompts according to model-driven guidelines that minimise dependency on AI outputs and encourage the generation of self-directed design solutions.This scaffold cultivates higher-order cognitive processes and reinforces learner agency, demonstrating that students can engage with Generative AI critically and autonomously.

Authors

Publication Details

Journal
Journal of Next-generation Convergence Information Services Technology
Published
2025-08-28
DOI
https://doi.org/10.29056/jncist.2025.08.01
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
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article

A Generative AI Prompt Instructional Model for Public Design

Hyun‐Ji Song
Journal of Next-generation Convergence Information Services Technology
BIM and Construction Integration
article

A Generative AI Prompt Instructional Model for Public Design

Hyun‐Ji Song
article en

Abstract

This study aims to foster students' creative ideation in public-design education by strategically integrating Generative AI tools.As the prevalence of such tools in design curricula grows, their pedagogical affordances and constraints have become increasingly evident.To leverage them more effectively, the research proposes an instructional model tailored to public-design contexts.Grounded in the Design Council's Double Diamond design thinking process, the model proceeds through four phases-Exploration and Understanding, Analysis and Definition, Idea Expansion, and Visualization-and employs Wrtn and MidJourney as exemplar tools.At each phase, learners craft prompts according to model-driven guidelines that minimise dependency on AI outputs and encourage the generation of self-directed design solutions.This scaffold cultivates higher-order cognitive processes and reinforces learner agency, demonstrating that students can engage with Generative AI critically and autonomously.

Journal of Next-generation Convergence Information Services TechnologyVol. 14(4)
Openalex Percentile: Top 76%
BIM and Construction Integration
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