使用聚类算法构建学习模型

The Use of Clustering Algorithm to Construct the Model of Learning

影响智能教学系统中教学决策的一个核心因素是系统中学习模型的质量。学习模型是一种以人类学生解决问题的各种方法为基础的模型。一个好的学习模型能够匹配学生行为模式,为学习任务难度和相关问题之间的学习转化提供有效信息。然而,传统构建模型的方式一方面非常耗时,而且还容易丢失具有重要教育意义的内容和学习方式。自动化方式可以构建更好的学习模型,但需要一些工程知识,同时其模型难以解释。该文讨论了一种基于内容特征使用聚类算法来构建学习模型的方法。

One of the core factors affecting the teaching decision in intelligent teaching system is the quality of learning model in the system. Learning model is the model of a human to students to solve the problems of various methods based on. A good learning model can match the students' behavior pattern, provide useful information for between task difficulty and issues related to the transformation of learning. However, a traditional way of constructing the model is very time-consuming, but also easy to lose and has important significance of education contents and ways of learning. Automated learning model can construct better,but requires some engineering knowledge, at the same time, the model is difficult to explain. This paper discusses a method of clustering algorithm based on content features used to construct learning model.