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

Bin Hou, Hiroaki Ogata, Masayuki Miyata, Yoneo Yano

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

4 Citations (Scopus)

Abstract

In this paper, we propose an improved context-aware system for supporting to learning Japanese mimicry and onomatopoeia (MIO) using sensor data. In our two previous studies, we proposed context-aware language learning assistant systems named JAMIOLAS (JApanese MImicry and Onomatopoeia Learning Assistant System). We have used wearable sensors and sensor network respectively to support learning Japanese MIO. On the disadvantage of previous systems, we propose a new learning model that can support learning MIO with the sensor network to carry out context-aware learning mainly in ways of creating context initiatively and detecting context automatically.

Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on Computers in Education, ICCE 2009
Pages593-597
Number of pages5
Publication statusPublished - 2009
Externally publishedYes
Event17th International Conference on Computers in Education, ICCE 2009 - Hong Kong, Hong Kong
Duration: Nov 30 2009Dec 4 2009

Other

Other17th International Conference on Computers in Education, ICCE 2009
CountryHong Kong
CityHong Kong
Period11/30/0912/4/09

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All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Education

Cite this

Hou, B., Ogata, H., Miyata, M., & Yano, Y. (2009). JAMIOLAS 3.0: Supporting Japanese mimicry and onomatopoeia learning using sensor data. In Proceedings of the 17th International Conference on Computers in Education, ICCE 2009 (pp. 593-597)