隐马尔可夫模型在学习系统信息挖掘中的应用

摘要

According to the constructivism learning theory,cognitive thinking is an iterative,incremental process.In order to understand and track the degree of students'grasp of knowledge points,taking SQL online testing system of database course for example,a model with hidden Markov model is built.By decoding the feedback information,the hidden state transition is mined and discovered.Experiment shows that state transition information revealed by the model help teachers to better understand students'mastery of knowledge points.%根据建构主义学习理论,认知思维是一个反复、渐进的过程.为了解和跟踪学生对知识点掌握的程度,以数据库课程SQL在线测试系统为例,使用隐马尔可夫模型建立学习模型.通过对学习反馈信息进行解码,挖掘和发现隐藏的状态转移信息.实验结果表明,模型揭示的状态转移信息更好地帮助教师了解学生对知识点的掌握程度.