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.

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

• Ji-Eun Kim(Department of Technology Art, GSAIM, Chung-Ang University, Seoul, Korea) | 김지은
• Ha-Rin Lee(Department of Technology Art, GSAIM, Chung-Ang University, Seoul, Korea) | 이하린
• Young-Chae Kim(Department of Technology Art, GSAIM, Chung-Ang University, Seoul, Korea) | 김영채
• Jin-Wan Park(Department of Technology Art, GSAIM, Chung-Ang University, Seoul, Korea) | 박진완 Corresponding author