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 literacyGenerative AIDesign educationPrompt engineeringEthical critiqueHybrid visual literacy model
저자
Junoh Lee [ Prof., Dept. of Design, Sunmoon Univ., Korea ]
Corresponding Author
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 600DDC 700
이 권호 내 다른 논문 / International Journal of Advanced Culture Technology(IJACT) Volume 13 Number 3