摘要
e-Learning这种能满足个性化、适应性学习要求的重要学习方式,要求能协作感知学习者的学习情况,能依据学习情况自动推送个性化学习资源。将支持向量机这种机器学习方法应用到e-Learning中,并结合e-Learning系统的应用情况,对于学习样本的选取和预处理,以及支持向量机训练算法等进行了应用研究。解决了学习者学习情况评价分类,根据分类结果实现个性化学习资源的主动推送问题。
E-Learning can be apperceive the student＇s learning and push personality learning resource automatically so that meet the need of personality and adaptability study, The support vector machines are applied in some domain because of its exceJlent machine learning power, Support vector machine in e-Learning is used, and learning swatch selection and pretreatment are researched. A point is raised to resolve the problem about pushing personality learning resource nreferably.
出处
《计算机工程与设计》
CSCD
北大核心
2007年第9期2120-2122,共3页
Computer Engineering and Design
基金
广东轻工职业技术学院科技基金项目(KX010509)
关键词
机器学习
支持向量机
学习评价分类
个性化
学习资源推送
machine learning
support vector machine
learning assessment classification
personalization
pushing learning resource
