An Instructional Model for Makeup Design Education Based on Generative Artificial Intelligence

This study proposes an AI-Integrated Makeup Design Education Model (AI-MDEM) to address the changing demands of the beauty industry in the era of virtual beauty technologies and generative artificial intelligence. The model integrates Text-AI and Image-AI into a design thinking framework to enhance creative ideation, visual experimentation, and digital literacy in makeup design education. The research was conducted through literature analysis, model construction, and expert validation. As a result, a five-stage structure—Exploration, Conceptualization, Simulation, Production, and Communication—was developed, enabling learners to engage in user-centered analysis, concept development, visual testing, practical execution, and presentation. Expert evaluation confirmed the model’s educational feasibility and potential to reinforce industry-relevant competencies. While this conceptual model highlights AI’s role as a co-creative partner that supports innovation and iterative design processes, further empirical studies are required to measure learning effectiveness and address issues related to AI literacy, ethics, and copyright.

Authors

Publication Details

Journal
Journal of the Korean Society of Cosmetology
Published
2026-02-25
DOI
https://doi.org/10.52660/jksc.2026.32.1.48
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
0.00
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article

An Instructional Model for Makeup Design Education Based on Generative Artificial Intelligence

Eui-Hyoung Kim
Journal of the Korean Society of Cosmetology
Digital Media and Visual Art
article

An Instructional Model for Makeup Design Education Based on Generative Artificial Intelligence

Eui-Hyoung Kim
article en

Abstract

This study proposes an AI-Integrated Makeup Design Education Model (AI-MDEM) to address the changing demands of the beauty industry in the era of virtual beauty technologies and generative artificial intelligence. The model integrates Text-AI and Image-AI into a design thinking framework to enhance creative ideation, visual experimentation, and digital literacy in makeup design education. The research was conducted through literature analysis, model construction, and expert validation. As a result, a five-stage structure—Exploration, Conceptualization, Simulation, Production, and Communication—was developed, enabling learners to engage in user-centered analysis, concept development, visual testing, practical execution, and presentation. Expert evaluation confirmed the model’s educational feasibility and potential to reinforce industry-relevant competencies. While this conceptual model highlights AI’s role as a co-creative partner that supports innovation and iterative design processes, further empirical studies are required to measure learning effectiveness and address issues related to AI literacy, ethics, and copyright.

Journal of the Korean Society of CosmetologyVol. 32(1)
Quality Education
Openalex Percentile: Top 46%
Digital Media and Visual Art
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