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

IF 1.1 4区 教育学 0 ART
Younjung Hwang, Yi Wu
{"title":"Graphic Design Education in the Era of Text-to-Image Generation: Transitioning to Contents Creator","authors":"Younjung Hwang,&nbsp;Yi Wu","doi":"10.1111/jade.12558","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":45973,"journal":{"name":"International Journal of Art & Design Education","volume":"44 1","pages":"239-253"},"PeriodicalIF":1.1000,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jade.12558","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Art & Design Education","FirstCategoryId":"95","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jade.12558","RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ART","Score":null,"Total":0}
引用次数: 0

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.

Abstract Image

文本-图像生成时代的平面设计教育:向内容创造者的过渡
生成式人工智能(AI)的发展为各个行业和学术领域带来了创新机遇和新的挑战。特别是,生成式人工智能的最新进展,可以从文本中创建图像,给平面设计教育领域带来了新的挑战。本研究以2023年第一学期“视觉文化与当代艺术”课程的工作坊为基础,探讨了利用生成式人工智能进行平面设计教育的方法。学生们利用基于“技术教学内容知识(TPCACK)”模型的生成式人工智能,如Midjourney和DALL‐E,创作描绘欧洲设计历史的海报。通过案例研究和调查结果的分析,研究人员证实,生成式人工智能时代的平面设计教育需要与传统教育不同的教育目标和方法。学生需要人工智能视觉素养技能,使用合适的关键词准确传达图像。此外,人们发现,趋势分析和研究等初步设计过程变得更加重要。此外,教育工作者应该为学生提供机会,让他们通过图文并举的方式得出有创意的关键词,并作为集科学、艺术和技术于一体的内容创造者呈现自己的愿景。本研究为生成式人工智能时代平面设计师的角色定位和视觉设计教育方向提供了指引。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.90
自引率
9.10%
发文量
47
期刊介绍: The International Journal of Art & Design Education (iJADE) provides an international forum for research in the field of the art and creative education. It is the primary source for the dissemination of independently refereed articles about the visual arts, creativity, crafts, design, and art history, in all aspects, phases and types of education contexts and learning situations. The journal welcomes articles from a wide range of theoretical and methodological approaches to research, and encourages submissions from the broader fields of education and the arts that are concerned with learning through art and creative education.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信