基于动态聚类的网上学员细分实证研究  

Emprical Research on Student of Internet Based on Clustering

作　　者：毛布 田林[2] 谢汶[3] 

机构地区：[1]四川自贡广播电视大学,四川自贡643000 [2]云南楚雄师范学院,云南楚雄675000 [3]四川大学,成都610000

出　　处：《四川理工学院学报（自然科学版）》2010年第6期682-685,共4页Journal of Sichuan University of Science & Engineering(Natural Science Edition)

摘　　要：自主式学习在远程教育中占有重要的地位,如何更高效、快捷的建立学员所需要的知识资源库是当前我们研究的一个热门领域。本文以自贡电大2009级近百名本科学员基本资料及学习记录为采样数据,利用动态聚类的方法进行了有效的学员细分及数据分析,并在此基础上提出了相应的建立适合远程教育的资源库的策略。Online unattended learning is of key importance in distance education, therefore making the establishment of a knowledge resource pool for the learners in a more efficient and faster manner a hot field for our research. This essay tries to venture an effective analysis with data and study with the basic information and study segmentation of almost a hundred students of the year 2009 as sampling data, and based on that proposes solutions to creat resource pool in keeping with dis- tance education.

关 键 词：动态聚类 网上自主式学习 学员细分 数据分析 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]