摘要
传统网络教学平台只是提供课件资源的链接,不会按学员需求组织教学,学习者只能被动地接受平台提供的各种学习资源.为克服此弊端,设计了一个网络教学平台的个性化学习模型,该模型以学员认知水平和学习兴趣为基础,构建以知识点相关联为基础的知识层次结构,并进而构建系统知识资源库,以内容过滤推荐和协同过滤推荐算法挖掘学习者的学习过程,并根据学习者自身特点,调整教学策略,为学习者推荐个性化的学习资源、个别化的学习路径和一对一的教学建议.
The traditional network teaching platform only provides courseware resource link access,neglecting the needs of the organization of teaching students,thus learners can only passively accept all kinds of platforms learning resources.In order to overcome this disadvantage,this paper designs a personalized learning model of network teaching platform.It is suggested to set up the user model on students′cognitive level and learning interest,knowledge hierarch on knowledge point association and system knowledge repository,with content filtering and collaborative filtering recommendation algorithm for mining the learning process,to adjust the teaching strategy and recommend a personalized learning resource as well as individualized learning path together with one-to-one teaching suggestions for learners.
出处
《广东第二师范学院学报》
2017年第5期89-95,共7页
Journal of Guangdong University of Education
基金
广东省科技计划项目(2016A010106007)
广东省应用型科技研发专项资金资助项目(2016B090927010)
关键词
个性化网络教学
用户模型
知识资源库
数据挖掘
个性化知识推荐
personalized network teaching
user model
knowledge database
data mining
personalized knowledge recommendation
