摘要
能够自动感知学习者的行为、情感、社会网络,通过多通道信息获取,收集学习者的个性化学习成长信息,通过对大数据分析获得学习者个性需求,为其提供个性化的学习推荐服务,这是泛在学习环境下学习者的迫切需求,基于情境感知的个人学习空间就是实现这种需求的最佳方案。该文通过对个人学习空间、情境感知的研究,提出基于情境感知的个人学习空间的框架结构,分析了其中的关键技术,并通过应用案例验证了实践的科学性和实用性。
Automatically sensing the learners＇ behavior, emotion and social networks, collecting individual growth information of the learners by multi-channels and obtaining individual needs of the learners to provide personal push service by big data analysis are the urgent needs for the learners in ubiquitous learning environment. The best solution to achieve the goal is constructing a context- aware computing personal learning space. This paper reported that the current status of personal learning space and context-aware computing in this paper. The framework of a context-aware computing personal learning space is proposed. The key technologies are analyzed and the performance of science and practice is verified by an application case in the paper.
出处
《中国电化教育》
CSSCI
北大核心
2016年第7期36-42,共7页
China Educational Technology
基金
山西大同大学博士科研启动经费
山西省教育科学"十二五"规划指令课题"基于虚拟现实技术的中学物理实验探究性教学仿真平台的研究与实现"(项目编号:ZL-13020)
山西省教育科学"十二五"规划课题"三维虚拟环境下教学模式研究"(项目编号:GH-12063)资助
关键词
情境感知
个人学习空间
个性化推荐
Context-aware Computing
Personal Learning Space
Personalized Push
