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

Authors: Hiroaki Ogata, Masayuki Miyata, Hou Bin, Yoneo Yano

Addresses: Graduate School of Advanced Technology and Science, University of Tokushima, 2-1 Minamijosanjima, Tokushima 770-8506, Japan. ' Graduate School of Advanced Technology and Science, University of Tokushima, 2-1 Minamijosanjima, Tokushima 770-8506, Japan. ' Graduate School of Advanced Technology and Science, University of Tokushima, 2-1 Minamijosanjima, Tokushima 770-8506, Japan. ' Graduate School of Advanced Technology and Science, University of Tokushima, 2-1 Minamijosanjima, Tokushima 770-8506, Japan

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.

Keywords: Japanese mimetic words; onomatopoeia; wireless sensor networks; WSNs; ubiquitous learning; mobile learning; m-learning; Japan; language learning.

DOI: 10.1504/IJMLO.2010.037532

International Journal of Mobile Learning and Organisation, 2010 Vol.4 No.4, pp.333 - 345

Published online: 15 Dec 2010 *

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