基于大数据的学生网络学习行为自动监控系统设计  

Design of Automatic Monitoring System for Students’ Online Learning Behavior Based on Big Data

作　　者：刘楚菲 刘宇辰 LIU Chufei;LIU Yuchen(School of Medical Information,Changchun University of Chinese Medicine,Changchun Jilin 130117,China)

机构地区：[1]长春中医药大学医药信息学院,吉林长春130117

出　　处：《信息与电脑》2022年第23期250-252,共3页Information & Computer

摘　　要：由于获取的学生网络学习行为数据不够完整,导致监控系统的可靠性较低。为解决上述缺陷,提出了基于大数据的学生网络学习行为自动监控系统。系统以基于XILINXMPSoC全可编程处理器的XCZU4EV-1SFVC784核心板为核心构件,将Doublecom DB6000AN20D作为系统的网桥装置,将目标监控在线学习平台的后台数据库作为数据来源。系统根据学生的网际互连协议(Internet Protocol,IP)信息从后台数据获取对应的网络数据,利用各学习行为的特征分类数据,以连续特征数据的起始和结束时刻为基准,计算学习行为的执行时间,实现自动监控学生网络学习行为。测试结果表明,设计系统可以准确监控学生网络学习行为。Due to the incomplete acquisition of the corresponding data of students’ online learning behavior,the reliability of monitoring is low.Therefore,this paper proposes the design and research of the automatic monitoring system of students’ online learning behavior based on big data.The XCZU4EV-1SFVC784 core board based on XILINXMPSoC full programmable processor is taken as the core component of the system,Doublecom DB6000AN20D is taken as the network bridge device of the system,and the background database of the target monitoring online learning platform is taken as the big data.According to the Internet Protocol(IP) information of students,the corresponding network data is obtained from the background data,and the characteristics of each learning behavior are used to classify the data.Based on the start and end time of continuous feature data,the execution time of learning behavior is calculated,and the automatic monitoring of students’ network learning behavior is realized.The test results show that the designed system can realize the accurate monitoring of students’ online learning behavior.

关 键 词：大数据 学生网络学习行为 自动监控 后台数据库 网际互连协议(IP)信息 特征数据 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]