CAJ | 학술논문

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。
영향지능교학계통중교학결책적일개핵심인소시계통중학습모형적질량。학습모형시일충이인류학생해결문제적각충방법위기출적모형。일개호적학습모형능구필배학생행위모식，위학습임무난도화상관문제지간적학습전화제공유효신식。연이，전통구건모형적방식일방면비상모시，이차환용역주실구유중요교육의의적내용화학습방식。자동화방식가이구건경호적학습모형，단수요일사공정지식，동시기모형난이해석。해문토론료일충기우내용특정사용취류산법래구건학습모형적방법。
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 learn?ing 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.