基于网络的个性化学习系统中学习者个性特征的提取算法  

An Algorithm for Extraction Individual Character of Learner in the Personalized Learning System Based on Network Environment

作　　者：杨卉[1] 王陆[1] 

机构地区：[1]首都师范大学教育技术系,北京100037

出　　处：《计算机工程与应用》2003年第25期179-181,201,共4页Computer Engineering and Applications

基　　金：教育部现代远程教育关键技术与支撑服务系统和天地网结合项目资助

摘　　要：研究了基于网络的个性化学习系统如何根据学习者的个性特征主动推送个性化学习信息服务,并就如何提高基于网络的个性化学习系统的运行效率,提出了一种有效提取学习者个性特征的算法。该算法主要分为三步:(1)捕获学习者个性特征;(2)统计分析学习者所在学习群体的群体特征和趋势;(3)根据学习者与他所在学习群体有显著差异的特征项和群体特征,推送个性化学习信息。In this paper,we study how to actively deliver the personalized learning information by Personalized Learning System based on the learner's individual character.We propose an effective algorithm on learner's individual character extraction,which can increase the running efficiency of the Personalized Learning System based on network environment.The algorithm can divide into three steps(1)extracting learner's character,(2)analyzing the learner group aspects and their trend,(3)extracting the character variables which are obviously different between the learner and the learner group,then delivering the personality learning information according to the character variables as refered to before and the learner group aspects.

关 键 词：网络教育 个性化信息服务 特征提取算法 

分 类 号：G434[文化科学—教育学]