摘要
提出了一种面向个性化网络学习的学习者个性挖掘方法,以实现网络学习中学习者个性特征的自动获取.该方法首先通过对样本学习者的个性属性归并,去除冗余的个性属性;进而通过对学习者行为模式与个性特征的定量关联规则分析,得到两者间的关联规则;最终据此规则对后续学习者的行为模式进行推理,获取学习者的个性特征.此方法不仅解决了个性化网络学习中学习者个性特征的自动获取问题,而且还可表现出个性与行为间的关系.该方法已在计算机教学管理示范系统中进行了试验,结果表明该方法是有效的.
A personality mining method was proposed to obtain the personality characteristics of learners automatically in the network learning. In the method, the redundant personality attributes of learners were wiped off through attribute reduction, and then the association rules of the personality characteristics and learning behavior patterns were obtained through the analysis of the learning logs. Finally, the learners' personality characteristics were deduced from their learning behaviors by using the rules above. The method not only solves the issues of the automatic acquisition of the personality characteristics in the personalized network learning, but also indicates the relationship between the learners' personality characteristics and behaviors. The method has already been implemented and tested in our computer-managed instruction system, and the result manifests that the proposed method is effective.
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
2004年第6期575-578,共4页
Journal of Xi'an Jiaotong University
基金
国家自然科学基金资助项目(60103022
60373105).
关键词
个性挖掘
个性特征
网络学习
Computer networks
Data mining
Distance education
