泛在学习环境下基于情境感知的个人学习空间研究

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 veriifed by an application case in the paper.