サタケ　ヨシホ   SATAKE Yoshiho   佐竹　由帆    所属   青山学院大学  経済学部 共通教育・外国語科目    職種   教授
言語種別	英語
発行・発表の年月	2024/12
形態種別	学術雑誌
査読	査読あり
標題	The effects of teacher, peer and self-feedback on error correction with corpus use
執筆形態	単独
掲載誌名	Applied copus linguistics
掲載区分	国外
出版社・発行元	Elsevier
巻・号・頁	4(3),pp.100114
概要	This study investigates how feedback influences error correction in Data-Driven Learning (DDL) contexts, where learners use corpora to observe language patterns inductively. While corpora are recognized for their strengths in language learning, limited research examines feedback's role in error correction in these settings. The study hypothesizes that exposure to numerous example sentences through corpus use aids in correcting second language (L2) errors, and that different feedback sources (teacher, peer, self) impact error correction differently. By comparing teacher, peer, and self-feedback among 55 participants using the Corpus of Contemporary American English (COCA), the study finds that teacher feedback is particularly effective for correcting omission and agreement errors, highlighting its strength in identifying correctable errors. These results imply that effective corpus-based error correction should combine feedback types appropriately, such as using teacher feedback for omission and agreement errors.
DOI	https://doi.org/10.1016/j.acorp.2024.100114
PermalinkURL	https://doi.org/10.1016/j.acorp.2024.100114
researchmap用URL	https://doi.org/10.1016/j.acorp.2024.100114