基于知识网格的智能教学系统

在教学实践中,很难准确、系统的评估学生对所学知识的掌握程度。学生不能理解所学概念的原因是缺乏必备基础知识（先决知识）,不理解所学这些知识对以后要学课程影响。要解决这个问题,运用描绘和个人的分析的方法是十分困难的。基于知识网格智能教学系统使用知识网格能够建立一个可共享的,协作的基于网络的知识体系。它用知识网格中的一个节点作为起始点进行＂知识漫步＂,建立一个＂缺失知识链＂。告诉学生目前所学的知识体系结构。最终,评测结果将会被送到网上不同的虚拟组织。这些组织是由教师组成的,所以他们的建议会更有参考价值。

An Intelligence Tutoring System Based on Knowledge Grid

In teaching practice,it is hard to accurately,systematically evaluating how well students master the knowledge.The reason that students can not understand the current concept is that prerequisite knowledge hasn＇t been grasped,and students also do not know the potential impact on the following course.It is difficult to implement trace and personalized analysis.The intelligence tutoring system based on the ＂knowledge grid＂（ITSKG） makes use of ＂knowledge grid＂ to set up a shared,collaborative knowledge system based on web,guides students to understand the problem systematically.It can implement ＂knowledge ramble＂ originating from one node in ＂knowledge grid＂ as a starting point.Then,it will form the ＂missing knowledge chain＂ which shows the student＇s present knowledge architecture.Finally,the results will be sent to different virtual organizations which are constituted by teachers,so that their QA will become more effective.