基于大数据的在线学习者学习行为监测系统设计  

Design of Online Learner Learning Behavior Monitoring System Based on Big Data

作　　者：刘鑫[1] 何兰[1] 刘虹[1] 袁卓玲[1] LIU Xin;HE Lan;LIU Hong;YUAN Zhuoling(School of Rail Transit Operation and Management,Hunan Railway Professional Technology College,Zhuzhou Hunan 412001,China)

机构地区：[1]湖南铁道职业技术学院轨道交通运营管理学院,湖南株洲412001

出　　处：《信息与电脑》2022年第20期117-119,共3页Information & Computer

基　　金：湖南省教育科学“十四五”规划立项课题“在线教育中学习者的‘技术采纳-持续学习-流失预测’研究”(项目编号:XJK21CXX006)。

摘　　要：现有监测系统对在线学生学习行为流失率监测精度较低,因此引入大数据技术,设计学习行为监测系统。首先,以IEEE1484标准体系为核心,设计在线学习者学习行为监测系统框架模型。其次,建立包含数据源层、共享层和集成层的在线学习者学习行为数据库。最后,结合大数据技术,识别在线学习者学习行为的流失与保持,实现对学习者学习行为的监测。通过对比实验证明,设计的基于大数据的在线学习者学习行为监测系统具备极高监测精度。The existing monitoring system has low accuracy in monitoring the loss rate of online students’ learning behavior, so big data technology is introduced to design a learning behavior monitoring system. Firstly, the framework model of online learners’ learning behavior monitoring system is designed based on IEEE1484 standard system. Secondly, an online learner learning behavior database including data source layer, sharing layer and integration layer is established. Finally, combined with big data technology, identify the loss and retention of online learners’ learning behavior, and realize the monitoring of learners’ learning behavior. Through comparative experiments, it is proved that the designed online learner learning behavior monitoring system based on big data has extremely high monitoring accuracy.

关 键 词：大数据 学习行为 监测系统 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]