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

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...

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Publicado en:International Journal of Art & Design Education Vol. 44; no. 1; pp. 239 - 254
Autores principales: Hwang, Younjung, Wu, Yi
Formato: Artículo
Publicado: Wiley-Blackwell Feb2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Graphic Design Education in the Era of Text‐to‐Image Generation: Transitioning to Contents Creator.
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          Hwang, Younjung
          Wu, Yi
      su:
        Graphic design education
        Artificial intelligence
        Visual communication
        Pedagogical content knowledge
        Visual culture
        21st century art
        Educational objectives
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        subj:
          Graphic design education
          Artificial intelligence
          Visual communication
          Pedagogical content knowledge
          Visual culture
          21st century art
          Educational objectives
      keyword:
        artificial intelligence
        generative AI
        graphic design education
        text to image
        visual communication education
      ab: 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.
      pubtype: Academic Journal
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    language: English
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      custom: Copyright of International Journal of Art & Design Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
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          year: 2025
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