摘要
提出了一套个性化学习系统实施方案.该方案以知识点对象为核心组织学习资源,通过数据挖掘等方法获取学习者在学习进度和学习风格两方面模型,并采用“学习内容提取算法”获取适合学习者知识水平的学习内容,再通过XSL技术,根据不同的学习风格模型,对相同的知识点对象进行不同表现和封装.
Personalized learning becomes more and more important in distance education. Facing the issues, two problems should be resolved, one is the organization of learning resources, another is setting up indivioual models of learners adaptively. A set of projects are put forward, which organize learning resources based on knowledge point objects, and set up learners' individual model in learning progress and learning styles by web mining, then use adaptive learning content distilling arithmetic to obtain the needed knowledge points, and lastly encapsulate the knowledge Roints according to different learning style models with XSL.
出处
《西南师范大学学报(自然科学版)》
CAS
CSCD
北大核心
2006年第5期120-123,共4页
Journal of Southwest China Normal University(Natural Science Edition)
基金
西南大学学校青年基金资助项目(SWNUQ2004027).
关键词
个性化学习
知识点对象
学习风格模型
学习内容自适应提取算法
可扩展标记语言
personalized learning
knowledge point objects
learning style model
adaptive learning content distilling arithmetic
extensible markup language