It's an important way to improve the effectiveness and accuracy of early warning with integrating behavioral data from formal learning and informal learning in blended learning environment.Therefore,it is of great practical value to solve the prob-lem of the single data collection surface and the lack of early warning system for course learning. Based on the literature analysis of learning early warning at home and abroad,the learning early warning model was proposed,which included the learning service mod-ule, the data acquisition module, the large data warehouse and the cloud computing platform, the data processing module, the pre-diction calculation and analysis module, the automatic warning and visualization module. Combined the model and the relevant tech-nical standards and specifications, the basic technical framework of the early warning system was designed, which included data sources, data integration, data management, application services and information display. Finally, we used UML modeling to design the core data model and took ASP.NET as the development platform as well as using Oracle database. The learning early warning system was developed from three parts including data structure and weight,monitor and dynamic analysis as well as visual result out-put. The system has the high scalability and stability, which can meet the normal monitoring requirements of learning early warning. The data simulation and validation analysis need to be conducted to obtain its prediction accuracy and system limitation in the subse-quent research.%在混合式学习环境下,整合正式学习和非正式学习下的行为数据进行学习结果预警,是提高预警有效性和精准性的一个重要路径,因此,着重解决数据采集面单一和课程学习预警系统匮乏问题,具有重要的实践价值.对此,国内外对学习预警相关研究已有丰富的基础.在相关文献分析的基础上,提出的基于学习行为数据的学习预警模型,包括学习服务模块、数据采集模块、教育大数据仓库和云计算平台、数据处理模块、预测计算与分析模块、自动预警与可视化模块.基于该模型并结合相关的技术标准和规范,设计了包含了数据源、数据集成、数据管理、应用服务和信息展示的学习预警系统基础技术框架.研究结果表明,利用UML建模来设计核心数据模型,以ASP.NET为开发平台,采用Oracle数据库,从数据结构与权重、监测与动态分析和可视化结果输出等三部分开发的学习预警系统,具有高度的扩展性和稳定性,可满足学习预警的常态化监测要求.
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