메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
YunDeok Choi (University of Hawaii at Manoa)
저널정보
한국응용언어학회 응용언어학 응용언어학 제25권 2호
발행연도
2009.1
수록면
35 - 64 (30page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
This descriptive study investigated corrective feedback, especially in terms of recasts versus prompts, and learner uptake during interactions between teachers and students across classes with different pedagogical purposes. In addition, the proportion of non-corrective to corrective feedback, or repetitions to recasts, was examined. 28 students were recruited from a content-based and two exam-preparation classes in a pre-matriculate intensive English language program. 12 hours of audio-recorded data were analyzed based on Lyster and Ranta"s (1997) "error treatment sequence". In agreement with previous studies, the results indicated that the teachers" preferred type of feedback was recast regardless of the foci of the lessons. Contradicting previous findings, however, the students did more uptake in response to recasts than prompts. The teachers also provided non-corrective feedback more often than recasts across the three classes. The study has three pedagogical implications. First, teachers" use of different types of feedback might be affected not only by pedagogical purposes but also by instructional arrangements. Second, the amount of student uptake may increase if students have enough and appropriate opportunities to respond after receiving their teachers" feedback. Lastly, teachers" frequent use of non-corrective repetitions might not prevent students from identifying the corrective nature of recasts in certain contexts where students pay more attention to language forms rather than content.

목차

Ⅰ. Introduction
Ⅱ. Literature Review
Ⅲ. Research Questions
Ⅳ. Method
Ⅴ. Results
Ⅵ. Discussion
Ⅶ. Conclusion
References

참고문헌 (28)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0