인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
This study aims to examine the effects of revision activities using a neural machine translation (NMT) tool on elementary students’ English writing skills, self-directed learning competence, and perceptions of using NMT in their writing. Over a 15-week period, 20 sixth-grade students at an elementary school in Seoul participated in a 39 writing sessions. The writing process consisted of three stages: pre-writing in L1, English composition, and post-writing (revising by comparing the translation output with their own writing, followed by reflection). Data were collected through pre- and post-writing assessments, a self-directed learning inventory, perception surveys, and interviews. The data were mainly analyzed quantitatively, with supplementary qualitative analysis. The findings revealed three key outcomes. First, the revision activity significantly improved overall writing fluency and content development, especially among mid- to lower-level learners, while spelling and expression accuracy also showed gradual progress. However, grammatical accuracy did not improve consistently and even declined for some high-level learners. Second, self-directed learning notably increased, particularly in areas such as planning, interest, and perceived learning value, supported by the task’s structured process and iterative feedback. Lastly, students’ perceptions of the NMT tool shifted from a passive aid to an active self-monitoring resource, fostering their critical use and strategic engagement. This study offers meaningful insights into the pedagogical use of NMT tools in elementary English writing instruction.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
