인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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
Category-based hedges pose considerable interpretive difficulty, not only for language learners but even for some experts. To better understand how such expressions are processed, this study investigates Chinese EFL learners’ comprehension of six hedges (strictly speaking, loosely speaking, in that, sort of, typical, and technically) in semantic-pragmatic tasks. 125 university students with high-level English proficiency completed a judgment task with a supplementary revision task. The Rasch analysis revealed great variability in item difficulty, with items involving in that and loosely speaking emerging as the most challenging, and suggested that many learners with high-level English proficiency failed to notice the semantic-pragmatic constraints of hedges. The generalized linear mixed modeling (GLMM) results showed that frequency of exposure was the only significant predictor of judgment accuracy, supporting usage-based accounts that emphasize repeated input. In contrast, English majors displayed higher revision accuracy in the supplementary revision task, suggesting that output-based tasks need greater metalinguistic awareness. The study contributes new item-level and learner-level insights into hedge processing and suggests pedagogical directions for enhancing learners’ sensitivity to category-based hedges.
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.
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