基于知识点的疑难知识诊断算法研究

Research of the Diagnosis Algorithm Based on Points of Knowledge

首先探讨了学习内容组织算法中存在的资源组织的粒度和学习效果的测评等问题。其次,定义了学习对象的粒度以及知识之间的前驱、后继和平行关系,构建了以知识点为有意义单元的学习资源组织框架,奠定了资源的重用和共享,以及资源的有效组织的基础。第三,在测试的基础上,探讨了疑难问题的诊断算法,并在此基础之上进行了实例验证。实验证明,该算法具有可行性。

The thesis research points to knowledge-based learning content hierarchy, and to explore the basis of the test on how to effectively diagnose problems of knowledge points. Thesis study of the contents of the first algorithm Organize resources exist Organize study the effect of particle size and the evaluation and so on. Secondly, the definition of a learning object granularity and knowledge between the precursors, successors and parallel relationship, to build a knowledge-point for a meaningful unit study resources organizational framework, laid the reuse and sharing of resources, as well as the effective organization of resources basis. Thirdly, at test on the basis of the discussed problems of the diagnosis algorithm, and on this basis a practical example, experiments show that the algorithm is feasible.