JAMIOLAS 3.0: Supporting Japanese mimicry and onomatopoeia learning using sensor data

Bin Hou, Hiroaki Ogata, Masayuki Miyata, Mengmeng Li, Yuqin Liu, Yoneo Yano

研究成果: ジャーナルへの寄稿学術誌査読

17 被引用数 (Scopus)

抄録

In this article, the authors propose an improved context-aware system to support the learning of Japanese mimicry and onomatopoeia (MIO) using sensor data. In the authors' two previous studies, they proposed a context-aware language learning assistant system named JAMIOLAS (Japanese Mimicry and Onomatopoeia Learning Assistant System). The authors used wearable sensors and sensor networks, respectively, to support learning Japanese MIO. To address the disadvantages of the previous systems, the authors propose a new learning model that can support learning MIO, using sensor data and the sensor network to enable contextaware learning by either initiating the creation of context or detecting context automatically.

本文言語英語
ページ(範囲)40-54
ページ数15
ジャーナルInternational Journal of Mobile and Blended Learning
2
1
DOI
出版ステータス出版済み - 1月 1 2010

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ サイエンス(全般)
  • 教育

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