JAMIOLAS2: supporting Japanese mimetic words and onomatopoeia learning with wireless sensor networks for overseas students

Hiroaki Ogata, Masayuki Miyata, Hou Bin, Yoneo Yano

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

This paper proposes an improved context-aware language supported system for learning Japanese mimetic words and onomatopoeias (MIO) using wireless sensor network ‘MOTE’. In our previous work, a learner wears sensors so that the system provides the appropriate MIO expressions at his/her place. In this current system called JAMIOLAS2, MOTE is used to get appropriate data from the environment, e.g. temperature and light. The system recommends the right place for the right person to learn the right MIO expressions. This paper describes the implementation, the interface and usage scenario of JAMIOLAS2. Also the initial evaluation is demonstrated.

Original languageEnglish
Pages (from-to)333-345
Number of pages13
JournalInternational Journal of Mobile Learning and Organisation
Volume4
Issue number4
DOIs
Publication statusPublished - Jan 1 2010

All Science Journal Classification (ASJC) codes

  • Education
  • Computer Science Applications

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