智能学习中的知识表示和知识聚类

Knowledge Representing and Clustering in Intelligent Learning

e-Learning中的智能化学习一直是诸多网络教育研究人员努力去解决而至今尚未有合适解决方案的一个问题。采用传统的导航方式或搜索引擎方式引导学习过程有着自身固有的缺陷。一种新的引导方式是:基于知识指定的表示和组织方式,以知识项和知识交流域(上下文)的映射来引导学习过程。这种方式以知识项得到领域专家认证为前提,通过关联规则对知识进行有效的聚类,给出一系列相关的知识项(相关案例或有关内容),向学习者提供建议性的学习内容,方便了关联学习。

Intelligent learning is an issue that network-based education reseachers trying to tackle without suitable solution.Guiding a learning process by a traditional navigator or by searching engine has the inherent weaknesses.This paper has a new effective solution:guiding the learning process through the mapping of knowledge items to knowledge domain,which is based on the definite way of knowledge organizing and presenting.This method,after the authority of knowledge by domain -specific expert,applies an association rule to cluster definited knowledge items ,to present similarities or associations,and to give the learner an intelligent clue of association learnig.