从分析网络学习因素的角度出发，提出了利用数据融合理论和使用移动代理技术解决网络学习模式识别的问题。
This paper presents a method of solving the problem of network study pattern recognition based on data fusion theory and mobile agent (MA) technology in view of network study factors.
详细分析了网络学习模式中的主要因素，针对网络学习模式识别提出了使用移动代理（MA）进行因素提取的方法。
The main factors of network learning have been analyzed in detail, and the factor extraction method using MA is put forward according to network study pattern recognition.
首先介绍了四种网络学习模式，并探讨了这四种模式中的最流行的网络学习模式—个别化的网络学习模式的资源特征。
First the paper introduces four E-learning patterns and discusses resource characteristics of individuation E-learning pattern which is the most popular E-learning pattern of the four patterns.
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