摘要
提出一种基于w eb挖掘的个性化远程教学服务系统模型,重点阐述模型结构及功能,并介绍所用到的关键挖掘算法。该系统能充分利用网站上积累的w eb日记、学生行为及学习成绩记录等信息,通过数据挖掘技术发现用户频繁访问路径、频繁项目集及关联规则模式,自动调整学习者的学习计划和进度,呈现个性化的学习内容,创建自适应教学网站,满足各类学习者需要。
A model of personalized distance teaching service system in a web environment is presented in this paper, and the structure and functions of the model and key mining algorithm are mainly described. The information accummulated in wehsites such as web logs, students＇ hehaviour, student academic records, etc. can fully he used in the system. Through data mining technique, the system can find out users＇ frequent access paths, frequent item sets and association rule patterns, and adjust automatically the learners~ programs and progress of learning, which will present personalized contents of learning, establish self-adaptive teaching wehsite to satisfy the requirements of various kinds of learners.
出处
《广西工学院学报》
CAS
2005年第3期68-72,共5页
Journal of Guangxi University of Technology
