Creation of ubiquitous learning environments based on intelligence media technology

本研究利用互联网和移动的技术，开发了一种构建泛在学习环境的方法，可以随时随地提供交互式学习环境。我们已经建立了一个基于Super-Function和智能媒体技术的机器翻译引擎。建立了双语语料库和情感博客语料库。此外，语音识别方法，面部表情推定方法，情绪模型和估计学生的情绪的算法已经开发。基于所开发的方法建立了一个原型系统，并进行了一些实验。

In this research, a method of cresting ubiquitous learning environment, which can provide interactive learn environment in anytime and anywhere, is developed using the internet and mobile technologies. We have built a machine translation engine based on Super-Function and intelligence media technology. A bilingual corpus and emotional blog corpus have been constructed. Furthermore, a speech recognition method, a face expression presumption method, a emotional model and an algorithm for estimating student's emotion have been developed. A prototype system based on the developed methods was built and some experiments have been carried out.