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 contextaware learning by either initiating the creation of context or detecting context automatically.
|Number of pages||15|
|Journal||International Journal of Mobile and Blended Learning|
|Publication status||Published - Jan 1 2010|
All Science Journal Classification (ASJC) codes
- Computer Science(all)