Supporting Japanese Mimetic words and Onomatopoeia Learning with wireless sensor networks for overseas students

Masayuki Miyata, Hiroaki Ogata, Tomoo Kondo, Yoneo Yano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper proposes an improved context-aware language supported system for learning Japanese mimetic words and onomatopoeia (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 JAMIOLAS (Supporting Japanese Mimetic words and Onomatopoeia Learning with Sensors for Non-Japanese) 2.0, MOTE is used to get appropriate data from the environment, for example, 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 JAMIOLAS 2.0.

Original languageEnglish
Title of host publicationProceedings - ICCE 2008
Subtitle of host publication16th International Conference on Computers in Education
Pages211-216
Number of pages6
Publication statusPublished - Dec 1 2008
Event16th International Conference on Computers in Education, ICCE 2008 - Taipei, Taiwan, Province of China
Duration: Oct 27 2008Oct 31 2008

Publication series

NameProceedings - ICCE 2008: 16th International Conference on Computers in Education

Other

Other16th International Conference on Computers in Education, ICCE 2008
Country/TerritoryTaiwan, Province of China
CityTaipei
Period10/27/0810/31/08

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Education

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