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Redefining Visual Literacy Competencies for Design Majors in the Era of Generative AI

첫 페이지 보기
  • 발행기관
    국제문화기술진흥원 바로가기
  • 간행물
    International Journal of Advanced Culture Technology(IJACT) KCI 등재 바로가기
  • 통권
    Volume 13 Number 3 (2025.09)바로가기
  • 페이지
    pp.417-425
  • 저자
    Junoh Lee
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A474007

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원문정보

초록

영어
The rapid advancement of generative artificial intelligence (AI) technologies has reshaped the landscape of visual content creation, enabling individuals to produce high-quality outputs in seconds [2,3]. While traditional visual literacy—centered on interpretation, analysis, and creation—remains essential [1], it is insufficient for navigating AI-integrated creative environments [4]. This study aims to redefine visual literacy competencies for design majors by incorporating AI-era skills into existing educational frameworks [2,5]. Using a three-phase exploratory methodology, the research first analyzed curricula from five leading Korean visual communication design programs, revealing a strong focus on aesthetic and compositional training but limited integration of AI-related competencies [6]. Second, case studies of AI-assisted design projects utilizing Midjourney, Firefly, and DALL·E were conducted with 32 undergraduate participants [3,8]. Third, the results were compared with traditional visual literacy models to develop the Hybrid Visual Literacy Model, which integrates traditional skills with AI-specific competencies [7]. Findings identified three core competencies required in the generative AI era: Interpretive Competence (understanding and analyzing AI-generated imagery [4]), Planning Competence (strategic prompt design to guide outputs [5,6]), and Ethical Critique Competence (evaluating contextual relevance, originality, and ethical implications [7,8]). Quantitative analysis showed significant gains in both traditional and AI-specific skills, with notable improvements in AI Output Evaluation (+38%) and Integration into Coherent Design (+31%) [3]. Qualitative findings highlighted enhanced ideation, critical awareness, and the urgent need for structured ethical guidelines [9,10]. The study concludes that design education must adopt a competency-based approach that integrates AI literacy with traditional training, ensuring that future designers can maintain creative agency, uphold ethical standards, and collaborate effectively with AI technologies [2,7].

목차

Abstract
1. Introduction
2. Theoretical Background
2.1 Visual Literacy in Traditional Design Education
2.2 Emergence of Generative AI in Creative Practice
2.3 Hybrid Visual Literacy Model
2.4 Previous Research and Gaps
2.5 Operational Definitions for This Study
3. Experiments
3.1 Research Design
3.2 Curriculum Analysis
3.3 Participants
3.4 Tools and Materials
3.5 Procedure
3.6 Data Collection and Analysis
4. Results and Discussion
4.1 Curriculum Findings
4.2 Practical Case Study Findings
4.3 Core Competencies Identified
4.4 Quantitative Results
4.5 Qualitative Results
4.6 Discussion
5. Discussions
6. Conclusion
Acknowledgement
Reference

키워드

Visual literacy Generative AI Design education Prompt engineering Ethical critique Hybrid visual literacy model

저자

  • Junoh Lee [ Prof., Dept. of Design, Sunmoon Univ., Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제문화기술진흥원 [The International Promotion Agency of Culture Technology]
  • 설립연도
    2009
  • 분야
    공학>공학일반
  • 소개
    본 진흥원은 문화기술(Culture Technology) 관련 산·학·연·관으로 구성된 비영리 단체이다. 문화기술(CT)은 정보통신기술(ICT), 문화적 사고 기반의 예술, 인문학, 디자인, 사회과학기술이 접목된 신융합기술(New Convergence Technology, NCT)로 정의한다. 인간의 삶의 질을 향상시키고, 진보된 방향으로 변화시키고, 문화기술 관련 분야의 학술 및 기술의 발전과 진흥에 공헌하기 위하여, 제3조의 필요한 사업을 행함을 그 목적으로 한다.

간행물

  • 간행물명
    International Journal of Advanced Culture Technology(IJACT)
  • 간기
    계간
  • pISSN
    2288-7202
  • eISSN
    2288-7318
  • 수록기간
    2013~2025
  • 등재여부
    KCI 등재
  • 십진분류
    KDC 600 DDC 700

이 권호 내 다른 논문 / International Journal of Advanced Culture Technology(IJACT) Volume 13 Number 3

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