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

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
이중언어학회 이중언어학 이중언어학 제36호
발행연도
2008.1
수록면
69 - 91 (23page)

이용수

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

초록· 키워드

오류제보하기
This paper discusses an error analysis of nominative case markers ‘-이/가’ committed by Japanese learners of the Korean language. We surveyed the written samples collected from beginners to advanced level Japanese students. Learner fluency is emphasized in the communicative teaching method, but in the context of accuracy, that fluency becomes highly questionable. In that regard, collected written samples are a valuable tool to analyze errors committed by learners. Learners of a second language commit all kinds of errors while acquiring it. Japanese learners, for instance, learn the Korean language relatively faster than others but also commit many errors due to the resemblances and similarities between the two languages. As in the case of topical case markers ‘-이/가’, Japanese learners often confuse them with postpositional particles ‘은/는.’ This error continues to manifest in the writings of advanced level students. Those gleaned errors were organized according to their types and analyzed for the possible causes. The ample written samples used in the paper were collected from topic-based prompts (writing tests and workbook exercises) as well as free topic-based prompts (personal journals and sentence writing drills) for an in-depth look. The pseudolongitudinal analysis method was used to analyze the errors of nominative case markers and the developing process in Japanese learners; it proved quite effective to analyze the samples across the board from beginners, intermediate and advanced levels. The purpose of this paper isn’t in the error analysis but to provide adequate and proper ways to offer feedback for teachers to carry out effective teaching. Constructive and systematized feedback is an effective tool to minimize learner errors.

목차

등록된 정보가 없습니다.

참고문헌 (26)

참고문헌 신청

함께 읽어보면 좋을 논문

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

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0