A Study on the Role of Midjourney, A Generative Artificial Intelligence Tool, in Enhancing Student Creativity in Illustration Design Classes

ABSTRACT Background Generative artificial intelligence text‐to‐image tools are increasingly used in design education, but evidence is limited on whether structured classroom integration improves expert‐rated creativity outcomes while controlling homogenisation. The objective was to test whether a Studio GenAI Creativity Enhancement Model (S GCEM) workflow using Midjourney improves expert‐rated illustration creativity versus a conventional non‐generative workflow and whether process metrics explain observed differences. Methods A parallel‐group, two‐section quasi‐experiment was conducted in an undergraduate illustration design studio. Students in the intervention section used S GCEM with Midjourney for early‐stage ideation only, mandatory prompt and version logs, and identical critique milestones to the control section (manual brainstorming, thumbnail sketching, non‐generative references). The analytic sample was n = 162 (S GCEM n = 82; control n = 80). Baseline and final artefacts were scored on 1–5 rubrics for originality, appropriateness, and elaboration. Ideation breadth and iteration depth were derived from logs. Analyses used analysis of covariance and regression. Results Final Product Creativity was higher under S GCEM than control after baseline adjustment, F(1,159) = 9.000, p = 0.003, partial η 2 = 0.053. Final Originality differed by condition, F(1,159) = 6.000, p = 0.015, partial η 2 = 0.036; Appropriateness, F(1,159) = 4.000, p = 0.047, partial η 2 = 0.024; and Elaboration, F(1,159) = 9.000, p = 0.003, partial η 2 = 0.054. Ideation breadth increased under S GCEM, B = 0.95, t = 4.13, p = 0.001, 95% CI 0.50–1.40, and iteration depth increased, B = 0.70, t = 3.50, p = 0.001, 95% CI 0.30–1.10. Homogenisation was lower under S GCEM, U = 2500, z = −3.05, p = 0.002, r = 0.24. Conclusion A structured Midjourney‐supported ideation workflow improved expert‐rated illustration creativity while increasing documented ideation activity and reducing homogenisation indicators.

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Publication Details

Journal
Journal of Computer Assisted Learning
Published
2026-07-30
DOI
https://doi.org/10.1002/jcal.70305
Primary Topic
Design Education and Practice
Type
article
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article

A Study on the Role of Midjourney, A Generative Artificial Intelligence Tool, in Enhancing Student Creativity in Illustration Design Classes

Shuaisen He
Journal of Computer Assisted Learning
Design Education and Practice
article

A Study on the Role of Midjourney, A Generative Artificial Intelligence Tool, in Enhancing Student Creativity in Illustration Design Classes

Shuaisen He
article en

Abstract

ABSTRACT Background Generative artificial intelligence text‐to‐image tools are increasingly used in design education, but evidence is limited on whether structured classroom integration improves expert‐rated creativity outcomes while controlling homogenisation. The objective was to test whether a Studio GenAI Creativity Enhancement Model (S GCEM) workflow using Midjourney improves expert‐rated illustration creativity versus a conventional non‐generative workflow and whether process metrics explain observed differences. Methods A parallel‐group, two‐section quasi‐experiment was conducted in an undergraduate illustration design studio. Students in the intervention section used S GCEM with Midjourney for early‐stage ideation only, mandatory prompt and version logs, and identical critique milestones to the control section (manual brainstorming, thumbnail sketching, non‐generative references). The analytic sample was n = 162 (S GCEM n = 82; control n = 80). Baseline and final artefacts were scored on 1–5 rubrics for originality, appropriateness, and elaboration. Ideation breadth and iteration depth were derived from logs. Analyses used analysis of covariance and regression. Results Final Product Creativity was higher under S GCEM than control after baseline adjustment, F(1,159) = 9.000, p = 0.003, partial η 2 = 0.053. Final Originality differed by condition, F(1,159) = 6.000, p = 0.015, partial η 2 = 0.036; Appropriateness, F(1,159) = 4.000, p = 0.047, partial η 2 = 0.024; and Elaboration, F(1,159) = 9.000, p = 0.003, partial η 2 = 0.054. Ideation breadth increased under S GCEM, B = 0.95, t = 4.13, p = 0.001, 95% CI 0.50–1.40, and iteration depth increased, B = 0.70, t = 3.50, p = 0.001, 95% CI 0.30–1.10. Homogenisation was lower under S GCEM, U = 2500, z = −3.05, p = 0.002, r = 0.24. Conclusion A structured Midjourney‐supported ideation workflow improved expert‐rated illustration creativity while increasing documented ideation activity and reducing homogenisation indicators.

Journal of Computer Assisted LearningVol. 42(5)
Dongguan University of Technology (CN), City College of Dongguan University of Technology (CN)
Openalex Percentile: Top 17%
Design Education and Practice
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