摘要
针对目前远程教育中个性化教学水平较低的问题,提出了一种基于粗糙集的Web学习者聚类算法,并应用粗糙集的约简方法解决了学习者特征数据中的属性冗余问题,提高了聚类算法的效率,从而提高了远程教学网站的个性化教学水平.
The demand for personalized teaching on E-learning web site is rapidly increasing.This is due to the huge existing difference among web learners.This paper proposes a method of clustering of web learners based on rough set,which can apply to remote education and improve the level of personalized teaching by arranging different teaching strategies and content for different kinds of learners.
出处
《中南民族大学学报（自然科学版）》
CAS
2007年第1期84-87,共4页
Journal of South-Central University for Nationalities：Natural Science Edition
基金
国家民委重点科研基金资助项目(MZY06004)
关键词
粗糙集
属性约简
K-均值聚类
个性化教学
rough set
attributes reduction
k-means clustering
personalized teaching
