Graphic Design Education in the Era of Text‐to‐Image Generation: Transitioning to Contents Creator

Abstract The advancement of generative artificial intelligence (AI) presents innovative opportunities and new challenges across various industries and academic fields. Particularly, recent advancements in generative AI, which can create images from text, are introducing new challenges in the field of graphic design education. This study discusses methods of graphic design education utilising generative AI, based on workshops conducted in the "Visual Culture and Contemporary Art" course in the first semester of 2023. Students utilised generative AI, such as Midjourney and DALL‐E, based on the "Technology Pedagogical Content Knowledge (TPCACK)" model, to create posters depicting European design history. Through the analysis of case studies and survey results, researchers confirmed that graphic design education in the era of generative AI requires different educational goals and methods from those of traditional education. Students require AI visual literacy skills to accurately convey images using suitable keywords. Additionally, it was discovered that preliminary design processes such as trend analysis and research have become more crucial. Additionally, educators should provide students with opportunities to derive creative keywords through graphic storytelling and present a vision as content creators who combine science, art, and technology. This research provides guidelines for the roles of graphic designers and the direction of visual design education in the era of generative AI.

Authors

Publication Details

Journal
International Journal of Art & Design Education
Published
2025-01-10
DOI
https://doi.org/10.1111/jade.12558
Citations
17
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
60.19
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article

Graphic Design Education in the Era of Text‐to‐Image Generation: Transitioning to Contents Creator

Younjung Hwang, Yi Wu
17 citations
International Journal of Art & Design Education
Digital Media and Visual Art
60.19
article

Graphic Design Education in the Era of Text‐to‐Image Generation: Transitioning to Contents Creator

Younjung Hwang, Yi Wu
article en
17 citations

Abstract

Abstract The advancement of generative artificial intelligence (AI) presents innovative opportunities and new challenges across various industries and academic fields. Particularly, recent advancements in generative AI, which can create images from text, are introducing new challenges in the field of graphic design education. This study discusses methods of graphic design education utilising generative AI, based on workshops conducted in the "Visual Culture and Contemporary Art" course in the first semester of 2023. Students utilised generative AI, such as Midjourney and DALL‐E, based on the "Technology Pedagogical Content Knowledge (TPCACK)" model, to create posters depicting European design history. Through the analysis of case studies and survey results, researchers confirmed that graphic design education in the era of generative AI requires different educational goals and methods from those of traditional education. Students require AI visual literacy skills to accurately convey images using suitable keywords. Additionally, it was discovered that preliminary design processes such as trend analysis and research have become more crucial. Additionally, educators should provide students with opportunities to derive creative keywords through graphic storytelling and present a vision as content creators who combine science, art, and technology. This research provides guidelines for the roles of graphic designers and the direction of visual design education in the era of generative AI.

International Journal of Art & Design EducationVol. 44(1)
Quality Education
Openalex Percentile: Top 0%
Digital Media and Visual Art
60.19
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