摘要
在努力推进教育数字化,探索服务全民终身学习的智慧学习空间建设实践中,开放大学体系的OMO智慧学习中心和“云—管—端”多层级架构智慧学习空间虽然可以满足多样化场景下的教学交互需要,但是存在着体系一体化共享、个性化服务、数字化应用不足等问题。通过构建无缝融合空间模型,搭建基于数据采集的技术框架,形成服务教学诊断与改进的大数据集成应用将有效解决上述问题,可使服务全民终身学习的智慧学习空间更加智能、开放与融合。
In the effort to promote the digitization of education and explore the practice of building a smart learning space to serve lifelong learning for all,the OMO smart learning centers and the"cloud-edge-terminal"multi-level architecture smart learning space of the open university system can meet the diverse teaching and interactive needs in various scenarios.However,there are issues such as a lack of system integration and sharing,personalized services,and insufficient digital applications.By constructing a seamlessly integrated space model and building a data collection technology framework,the integrated application of big data for teaching diagnosis and improvement will effectively solve the above problems,making the smart learning space for lifelong learning more intelligent,open,and integrated.
作者
蔡昆
CAI Kun(Guizhou Open University,Guiyang 550004)
出处
《贵州开放大学学报》
2023年第4期1-6,共6页
Journal of Guizhou Open University
基金
2023年贵州开放大学(贵州职业技术学院)校级课题“贵州开放大学全民终身学习数字化学习场域构建研究”(编号:2023ZD14)的阶段性研究成果。
关键词
终身学习
智慧学习空间
架构设计
Lifelong Learning
Smart Learning Space
Architecture Design