摘要
泛在学习中资源海量化和快速获取个性化资源之间的矛盾对资源个性化推荐提出了要求。文章在当前个性化资源推荐的基础上,结合泛在学习的需求,以泛在学习资源——"学习元"为例,提出了一种针对泛在学习的内容个性化推荐模型。该模型从用户兴趣、学习偏好和知识模型三个角度出发,利用泛在学习资源的语义描述、KNS网络、生成性信息和学习活动等方面的特性,针对结构化泛在学习资源进行综合推荐。望对未来泛在学习资源推荐研究起借鉴作用。
The contradiction between massive resources and quickly access personalized resources in the ubiquitous learning requests for the personalized resources recommendation.This essay,taking ＂Learning Cell＂ as an example,designs a kind of personalized recommendation model for content in the ubiquitous learning,which bases on the current research on personalized resources recommendation and integrates t-he characteristics of ubiquitous learning.From the three perspectives of user interests,preferences and kn-owledge model,the model,utilizing the characteristics of ubiquitous learning resources such as semantic descriptions,KNS network,generate information,learning activities and so on,recommend learning conte-nt,learning activities and interpersonal resources comprehensively.Hope that this essay will provide a ref-erence for the research on ubiquitous learning resources recommendation in the future.
出处
《现代教育技术》
CSSCI
2011年第6期13-18,共6页
Modern Educational Technology
基金
国家自然科学基金项目"泛在学习的资源组织模型及其关键技术研究"(项目批准号:61073100)
"中央高校基本科研业务费专项资金"资助
北京师范大学重点课题"泛在学习环境中的学习资源设计与共享研究"(课题编号:2009SD-9)研究成果之一~~
关键词
泛在学习
学习资源
个性化推荐
兴趣模型
学习元
ubiquitous learning
learning resources
personalized recommendation
interest model
learning cell
