数据挖掘在网络教学中的应用

Application of Data Mining in Network Teaching

网络教学的一个关键问题是如何实现教与学的有效结合，通过关联规则技术对收集到的学生网上学习历史数据进行分析，可以发现学习时间、学习次数、BBS讨论与测试成绩之间的关联，帮助教师调整教学计画；通过分类模型挖掘技术，实现对学生的网络分层教学，提升教学质量。

A key matter of network teaching is how to realize combining teaching with learning. It is helpful to find out the association of learning hours， BBS discussion and test result by analysis the historic data of learning with the technique of association rules. A teacher can revise the teaching plan according to the association. To a teacher， it is also easy to realize a network level teaching， enhance teaching quality with the technique of classification model.