A Study on the Characteristics of Image-Generative AI Services as Design Tools and Applicability in Graphic Design Education

The aim of this study is to identify the characteristics of image-generative AI as a design tool and to explore its applicability in graphic design education. This study identifies the characteristics observed in cases of image-generative AI and conducts evaluations with design major students to determine the most preferred image-generative AI service and the factors influencing their preferences. Subsequently, in-depth interviews with experts in the field of visual design were conducted to analyze the student evaluation data. This analysis identified services that could be suitably applied to the graphic design education curriculum. By exploring the feasibility of such applications, this study proposes a new graphic design education curriculum incorporating image-generative AI services. This reflects the requirements of both learners and educators, aiming to provide a balanced educational environment. It is believed that these findings can serve as foundational data for systematizing the direction of future design education. Additionally, by providing educational resources to enhance learning, this study aims to maximize students&quot learning efficiency and strengthen their digital competencies in preparation for the future.

Authors

Publication Details

Journal
Journal of Korea Multimedia Society
Published
2024-09-30
DOI
https://doi.org/10.9717/kmms.2024.27.9.1132
Primary Topic
Diverse Topics in Contemporary Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study on the Characteristics of Image-Generative AI Services as Design Tools and Applicability in Graphic Design Education

Soojin Park, Suyeon Seo
Journal of Korea Multimedia Society
Diverse Topics in Contemporary Research
article

A Study on the Characteristics of Image-Generative AI Services as Design Tools and Applicability in Graphic Design Education

Soojin Park, Suyeon Seo
article en

Abstract

The aim of this study is to identify the characteristics of image-generative AI as a design tool and to explore its applicability in graphic design education. This study identifies the characteristics observed in cases of image-generative AI and conducts evaluations with design major students to determine the most preferred image-generative AI service and the factors influencing their preferences. Subsequently, in-depth interviews with experts in the field of visual design were conducted to analyze the student evaluation data. This analysis identified services that could be suitably applied to the graphic design education curriculum. By exploring the feasibility of such applications, this study proposes a new graphic design education curriculum incorporating image-generative AI services. This reflects the requirements of both learners and educators, aiming to provide a balanced educational environment. It is believed that these findings can serve as foundational data for systematizing the direction of future design education. Additionally, by providing educational resources to enhance learning, this study aims to maximize students&quot learning efficiency and strengthen their digital competencies in preparation for the future.

Journal of Korea Multimedia SocietyVol. 27(9)
Openalex Percentile: Top 71%
Diverse Topics in Contemporary Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Study on the Characteristics of Image-Generative AI Services as Design Tools and Applicability in Graphic Design Education — Soojin Park, Suyeon Seo · Journal of Korea Multimedia Society (2024) | TGRS Research Map | TGRS