基于SONN的知识应用模式学习特征分类及预测模型

THE CLASSIFICATION AND FORECAST MODEL OF THE LEARNING FEATURES OF KNOWLEDGE APPLICATION PATTERNS BASED ON SONN

面向教学应用的本质,将知识应用模式概念引入到网络教学过程中。给出知识应用模式的形式化表达方法,利用自组织神经网络(SONN)建立网络模型,对学习过程中学习者的知识应用模式学习行为进行分类,得到特定学习群体的学习特征。然后,利用SONN对新样本进行模式预测,以学习特征模式为参照,并结合历史信息,实现针对学习主体的个性化网络教学。

The knowledge application pattern is introduced into the process of network teaching according to the essence of teaching application. The formalized expression of the knowledge application patterns is provided. The Self-Organizing Neural Network （SONN） is used to build the network model and classify＇ the learning behavior of learners about certain knowledge application pattern in the process of learning. Thus,the learning feature of certain learning group is obtained. The SONN is also applied to forecast the patterns of new samples. Individualized network teaching is constructed and perfected referring to the learning feature and historical information.