JAMIOLAS 3.0: Supporting Japanese Mimicry and Onomatopoeia Learning Using Sensor Data

JAMIOLAS 3.0: Supporting Japanese Mimicry and Onomatopoeia Learning Using Sensor Data

Bin Hou, Hiroaki Ogata, Masayuki Miyata, Mengmeng Li, Yuqin Liu, Yoneo Yano
ISBN13: 9781466600539|ISBN10: 1466600535|EISBN13: 9781466600546
DOI: 10.4018/978-1-4666-0053-9.ch008
Cite Chapter Cite Chapter

MLA

Hou, Bin, et al. "JAMIOLAS 3.0: Supporting Japanese Mimicry and Onomatopoeia Learning Using Sensor Data." Refining Current Practices in Mobile and Blended Learning: New Applications, edited by David Parsons, IGI Global, 2012, pp. 98-112. https://doi.org/10.4018/978-1-4666-0053-9.ch008

APA

Hou, B., Ogata, H., Miyata, M., Li, M., Liu, Y., & Yano, Y. (2012). JAMIOLAS 3.0: Supporting Japanese Mimicry and Onomatopoeia Learning Using Sensor Data. In D. Parsons (Ed.), Refining Current Practices in Mobile and Blended Learning: New Applications (pp. 98-112). IGI Global. https://doi.org/10.4018/978-1-4666-0053-9.ch008

Chicago

Hou, Bin, et al. "JAMIOLAS 3.0: Supporting Japanese Mimicry and Onomatopoeia Learning Using Sensor Data." In Refining Current Practices in Mobile and Blended Learning: New Applications, edited by David Parsons, 98-112. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0053-9.ch008

Export Reference

Mendeley
Favorite

Abstract

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 context-aware learning by either initiating the creation of context or detecting context automatically.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.