基于概念图的智能教学系统研究

概念图是一种知识组织工具，能有效的表达概念之间的顺序．基于概念图的智能教学系统，正是利用概念图的这一特性，使用权重错误率和模糊评价法对学生的学习情况进行诊断，输出每个学生的认知状态．随后系统使用权重指标法计算出概念关联度，找出主要学习路径，对学习内容进行推荐．并通过学习加强路径算法为每个学生建立学习加强路径，对学生进行个别化指导．最后，使用平均数差异显著性T检验来测量两组学生的学习情况，对系统在提高学生的学习效率方面进行量化评价．

Research on ITS Based on Conceptual Map

Conceptual map is a knowledge organization tool which can effectively convey the sequence of concepts. With these characteristics of concept maps, ITS can diagnose and output the learning situation of students by the method of weight-related error ratio and fuzzy evaluation. Subsequently, the correlation size of concept is calculated by the weight independence indexing, and the system can identify key learning path and recommend learning contents to students, An effective algorithm to find the enhanced learning path is proposed which can establish enhanced learning path for each learner and give individual guidance. Finally, the t-test of students is used to analyze the learning situation of two groups, and quantitatively evaluate the system.