바이브 코딩(Vibe Coding)을 활용한 초등 예비교사의 AI 리터러시 함양 및 영어 교수·학습 자료 개발 역량 탐색
Exploring pre-service primary teachers’ AI literacy development and English teaching material design through vibe coding.
- 발행
- 2026
- 소속·발행
- 서울교육대학교
- 출처
- 국내 KCI
- 원문등록
- 2026-06-30
- 원문
- 원문 보기 ↗
개념
키워드
바이브코딩, 인공지능, 에듀테크, 초등교사교육, AI 활용역량, Vibe Coding, Artificial Intelligence, EdTech, Elementary teacher training, AI Literacy
초록
This study explores the potential of “Vibe Coding” as a transformative tool for primary English education. While Artificial Intelligence offers a path toward individualized mastery learning, the lack of diverse, level-specific teaching materials remains a challenge. To address this, 24 pre-service teachers participated in a three-week project-based curriculum, developing 19 English learning applications using platforms like ChatGPT and Claude. Qualitative analysis revealed that participants successfully designed various tools, primarily focusing on 5th and 6th-grade literacy through gamified and scenario-based tasks. Quantitatively, the Wilcoxon Signed Rank Test showed statistically significant improvements (p < .05) across nearly all AI literacy domains, with particularly strong gains in prompt engineering and understanding AI principles. The findings suggest that Vibe Coding effectively lowers technical barriers, empowering non-specialist teachers to transition from passive technology users to “Educational Architects” who can create customized digital scaffolds. This research suggests that teacher education must evolve to foster these design-oriented competencies, enabling edu