2013年12月
Using mnemonic images and explicit sound contrasting to help Japanese children learn English alphabet sounds
JOURNAL OF APPLIED RESEARCH IN MEMORY AND COGNITION
- ,
- ,
- 巻
- 2
- 号
- 4
- 開始ページ
- 216
- 終了ページ
- 221
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1016/j.jarmac.2013.09.003
- 出版者・発行元
- ELSEVIER SCIENCE INC
Although mnemonics have been shown to be effective in remembering letter-sound associations, the use of foreign words as cues for English phonemes had not been investigated. Learning phonemes in Japan is challenging because the Japanese language is based on a different sound unit called mora (mostly consonant-vowel combinations). This study investigated the effectiveness of using mnemonic images utilizing Japanese words as cues for the phonemes, and explicit sound contrasting of phonemic sounds with morae they could be confused with, in facilitating children's acquisition of knowledge about alphabet letter-sound correspondence. The participants were 140 6th-grade Japanese students who were taught phoneme-consonant correspondence, with or without the use of mnemonics or explicit sound contrasting. Analysis of the students' pre- and post-instruction assessments revealed significant interaction effects between types of instruction provided and instruction phase, indicating better performance in letter-sound association as a consequence of the inclusion of both mnemonics and explicit sound contrasting. (C) 2013 Society for Applied Research in Memory and Cognition. Published by Elsevier Inc. All rights reserved.
- リンク情報
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- DOI
- https://doi.org/10.1016/j.jarmac.2013.09.003
- J-GLOBAL
- https://jglobal.jst.go.jp/detail?JGLOBAL_ID=201502863082529885
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000209365600003&DestApp=WOS_CPL
- URL
- http://news.mynavi.jp/news/2013/12/11/174/
- ID情報
-
- DOI : 10.1016/j.jarmac.2013.09.003
- ISSN : 2211-3681
- eISSN : 2211-369X
- J-Global ID : 201502863082529885
- Web of Science ID : WOS:000209365600003