基于数据挖掘的远程教学系统研究

Distance Teaching System Based on Data Mining

现代远程教学是随着计算机网络技术和多媒体技术发展而产生的一种新型教学形式。现在的远程教学系统存在的不足主要是不能实现个性化教学,系统缺少智能性,缺少良好的信息反馈等。新兴的数据挖掘技术能够从海量的数据中发现一些未知的、有价值的规律,无疑为提供个性化的教育服务提供了强有力的支持。结合数据库、数据仓库等技术,利用数据挖掘技术,将充分利用学生的学业记录、浏览模式、在线记录等数据,获得学生者的学习特征,将教师的教学经验变成计算机能够操作的策略规则,这样,就有可能建立一个满足要求的较为成功的个性化远程教学系统。

Modern distance teaching is a new teaching method appeared with the development of computer network and multimedia technology. The main problems in modern distance teaching are unable to realize individual teaching, and lack of intelligence and information feedback in the system. The new data mining technology can discover unknown and valuable rules from mass data, which will undoubtedly provide powerful support for individual teaching service. Combining the technology of database and data storage, and applying data mining technology, we will acquire learners＇ learning features from their learning records, scanning mode, online records, etc., convert teachers＇ experience into operating strategies via computers, and then establish a successful and practical individual system on distance teaching.