基于大数据分析的MOOC智能自主学习系统设计

摘要

为了提高网络课程教学自主学习平台的稳定性和资源利用效率,提出一种基于大数据分析的大型开放式网络课程(MOOC)智能自主学习系统设计方法.进行MOOC智能自主学习系统的总体设计描述和功能模块化分析,系统设计包括MOOC学习资源检索模块、信息处理模块和人机交互模块,采用Android操作系统进行MOOC智能自主学习系统的底层模块设计,基于大数据分析技术进行海量MOOC自主学习资源检索设计,在MVB总线控制协议下进行进程管理和文件配置,实现学习系统的软件开发设计.软件测试结果表明,该自主学习系统进行海量MOOC学习资源大数据处理的稳定收敛性较好,鲁棒性较高.%In order to improve the stability and resource utilization efficiency of autonomous learning platform for network course teaching,a design method of massive open online course(MOOC)intelligent autonomous learning system based on large data analysis is presented. The overall design description and the functional module analysis of the MOOC intelligent autono-mous learning system are conducted in this paper. The system is composed of MOOC learning resource retrieval module,informa-tion processing module and human-computer interaction module. Android operating system is adopted to design the bottom module of MOOC intelligent autonomous learning system. The massive MOOC autonomous learning resources retrieval design is realized based on big data analysis technology. The process management and file configuration are performed according to the MVB bus control protocol to implement software development and design of the learning system. The software testing results show that the autonomous learning system has high stability and strong robustness for large data processing of MOOC learning resources.