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논문검색

A Stepwise Learning Strategy for Generative AI Image Tools

원문정보

생성형 AI 이미지 도구의 단계별 학습 전략

Ji-Eun Kim, Ha-Rin Lee, Young-Chae Kim, Jin-Wan Park

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초록

영어

This study investigates how non-experts learn to use generative AI image tools by comparing outcome-oriented tools (e.g., Midjourney, DALL·E) with process-oriented tools (e.g., ComfyUI). Outcome-oriented tools offer intuitive interfaces and immediate feedback, lowering initial cognitive load, while process-oriented tools provide advanced control but require higher effort to master. Using surveys with 15 participants and in-depth interviews with 6 users, this exploratory study examined cognitive load, sense of control, and motivation. Results show that outcome-oriented tools effectively engage beginners, whereas process-oriented tools foster sustained learning once early barriers are overcome. Based on these findings, a three-stage curriculum—Basic Exploration, Advanced Control, and Creative Application—is proposed to gradually reduce cognitive barriers and support long-term creative growth.

목차

ABSTRACT
1. 서론
2. 이론적 배경
2.1 AI 이미지 생성 도구의 분류와 특성
2.2 Sweller의 인지 부하 이론
2.3 Rogers의 혁신확산이론
3. 사용자 학습 경험 조사
4. 결과 분석
5. 3단계 발전 모델 커리큘럼 설계
6. 결론
Acknowledgement
참고문헌

저자정보

  • Ji-Eun Kim Department of Technology Art, GSAIM, Chung-Ang University, Seoul, Korea
  • Ha-Rin Lee Department of Technology Art, GSAIM, Chung-Ang University, Seoul, Korea
  • Young-Chae Kim Department of Technology Art, GSAIM, Chung-Ang University, Seoul, Korea
  • Jin-Wan Park Department of Technology Art, GSAIM, Chung-Ang University, Seoul, Korea

참고문헌

자료제공 : 네이버학술정보

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