생성형 AI 이미지 도구의 단계별 학습 전략

• 영문명: A Stepwise Learning Strategy for Generative AI Image Tools
• 발행기관: 한국컴퓨터게임학회
• 저자명: 김지은(Ji-Eun Kim) 이하린(Ha-Rin Lee) 김영채(Young-Chae Kim) 박진완(Jin-Wan Park)
• 간행물 정보: 『한국컴퓨터게임학회논문지』제38권 5호, 23~33쪽, 전체 11쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2025.09.30

국문 초록

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

1. 서론

2. 이론적 배경

3. 사용자 학습 경험 조사

4. 결과 분석

5. 3단계 발전 모델 커리큘럼 설계

6. 결론

참고문헌

키워드

Generative AI Non-expert learning Cognitive Load Theory Diffusion of Innovations Theory Learning strategy