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Exploration of Image-Generating AI from Text in Creative Fields for a Sustainable Arts-Integrated Approach to STEAM Education

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  • 발행기관
    한국콘텐츠산업학회 바로가기
  • 간행물
    콘텐츠와산업 KCI 등재 바로가기
  • 통권
    제7권 제6호 (2025.12)바로가기
  • 페이지
    pp.107-112
  • 저자
    Kim, Sunyoung, Park, Taejung
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A478263

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초록

영어
This study explores the feasibility of integrating image-generating AI into a sustainable STEAM education, Science, Technology, Engineering, Arts, and Mathematics, with an arts-centered approach. Using Microsoft Copilot to conduct an AI image generation competition involving 206 participants from various demographic groups, we investigated creative engagement patterns and educational potential. Participants were tasked with producing images inspired by thematic keywords including ‘spring,’ ‘Korean traditional house,’ ‘robot,’ and ‘aerospace.’ The participants were divided into three groups for analysis: undergraduates within four years of admission, undergraduates who had been enrolled for four or more years, and non-undergraduate participants. The results revealed notable differences in creative tendencies across groups. Non-undergraduate participants demonstrated a more diverse use of colors and themes as opposed to undergraduate students enrolled for more than four years. The inclusion of certain lexical items, such as ‘space’, was significantly higher among specific groups. Text-to-image generation observed varied thematic preferences and engagement levels indicating possibilities for future resource design. These findings underscore the potential role of generative AI in fostering creativity, bridging art and technology, and promoting sustainability in education. This research highlights the transformative potential of AI tools in educational settings, offering insights into their potential application for personalized learning experiences. The implications extend to developing tailored educational programs that address diverse learner needs, ultimately contributing to the advancement of arts-integrated STEAM education.

목차

Abstract
I. Introduction
II. Methods
1. Participants
2. Research Procedure
3. Data Extraction
4. Data Analysis
III. Results
1. Color Analysis
2. Theme and Object Analysis
IV. Discussion and Conclusions
Reference

키워드

AI image generator arts integration creativity generative AI STEAM education

저자

  • Kim, Sunyoung [ Assistant Professor, Office of Educational Innovation, Gyeongsang National University ] 1st author
  • Park, Taejung [ Associate Professor, Division of Lifelong Education & Counseling, Pukyong National University ] Corresponding Author

참고문헌

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간행물 정보

발행기관

  • 발행기관명
    한국콘텐츠산업학회 [Korean Contents and Industry Association]
  • 설립연도
    2019
  • 분야
    복합학>학제간연구

간행물

  • 간행물명
    콘텐츠와산업 [Journal of Contents and Industry]
  • 간기
    격월간
  • pISSN
    2765-317X
  • 수록기간
    2019~2026
  • 등재여부
    KCI 등재
  • 십진분류
    KDC 600 DDC 700

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