摘要
在智能教学系统中,知识空间理论提供了一种描述知识结构的方法,常被用于进行对学生学习状态的诊断。本文对已有的知识空间理论进行了改进,提出了试题空间的概念,给出了基于最短路径的最优诊断原理,以此为基础,给出了一种新的更为有效的学习诊断方法,通过基于ID3算法的决策树生成方法对之进行了算法实现。研究表明,这种方法能够提高诊断的效率。
Knowledge space theory provided a method to describe knowledge structure and is often used to learner diagnosis in intelligent tutoring system. In this paper, we proposed question space theory based on knowledge space theory. A new optimum diagnosis principal based on shortest path is also proposed. We implemented it through decision tree algorithm based on ID3. This method can raise the diagnosis efficiency.
出处
《微计算机信息》
北大核心
2007年第30期238-240,共3页
Control & Automation
关键词
知识空间理论
试题空间
学习诊断
智能教学系统
Knowledge space theory, Question space, Learner diagnosis, intelligent tutoring system