Moodle平台数据挖掘方法设计与实现

教育数据挖掘是一个新兴的研究方向。如何把存储在教育软件系统中的数据转变为有意义的信息，并为教育决策、优化教学过程服务，已成为大多数教育工作者所关注的内容。文中总结了当前教育数据挖掘的研究现状，介绍了一种基于Excel的简单数据挖掘方法。该方法利用模糊C均值聚类算法，对Moodle平台积累的日志数据进行分析，找出有相似学习行为的学生，为学习社区的小组划分和研究学习模式服务。实验表明，该方法能够更准确地对学生进行分类，而且操作更为简单、方便。

Design and Realization of Data Mining Method in Moodle

Educational Data Mining （ EDM） is an emerging research direction. How to use the massive educational data and transfer the data into useful information and knowledge in order to provide the service for educational decision and teaching optimization processing has become an emerging and concerned research domain. It reviews the status on educational data mining,and proposes a simple data mining method based on Excel,which analyzes log data using fuzzy c-means clustering algorithm to identify students who have similar learning behavior and evolve hidden patterns in the Moodle. The experiment demonstrates that the method can more accurately classify the students,and the operation is more simple and convenient.