基于大数据分析的高校教学质量监控与评价研究  

University Teaching Quality Monitoring and Evaluation Based on Big Data Analysis

作　　者：邹立仁 ZOU Liren(Changchun Guanghua University,Changchun Jilin,130033,China)

机构地区：[1]长春光华学院,吉林长春130033

出　　处：《文化创新比较研究》2021年第4期124-126,共3页Comparative Study of Cultural Innovation

基　　金：吉林省高等教育教改研究课题立项支持项目(项目编号:20201009)。

摘　　要：针对高校教学质量监控与评价存在精准度不足的问题,为此开展高校基于大数据分析下的教学质量监控与评价研究。设计高校教学质量监控平台,引进大数据筛查功能,剔除无效监控信息;采用人脸识别技术可视化监控教学质量,完成教学质量监控。选择满分比均大于85%的教学质量评价指标,搭建高校教学质量评价指标体系,实现教学质量评价。设计实例分析,结果表明,设计方法下的教学质量监控稳态误差明显低于对照组,监控精度更高;设计方法下的评价平均风险数值明显低于对照组,评价精度更高,设计方法能够解决以往高校教学质量监控与评价精准度不足的问题。In view of the lack of accuracy in the monitoring and evaluation of teaching quality in Colleges and universities,the research on teaching quality monitoring and evaluation based on big data analysis is carried out.Design the teaching quality monitoring platform in Colleges and universities,introduce the big data screening function,eliminate the invalid monitoring information;use face recognition technology to visually monitor the teaching quality and complete the teaching quality monitoring.Select the teaching quality evaluation index whose full score ratio is greater than 85%,and build the teaching quality evaluation index system in Colleges and universities to realize the teaching quality evaluation.The results show that the steady-state error of teaching quality monitoring under the design method is significantly lower than that of the control group,and the monitoring accuracy is higher;the average risk value of the design method is significantly lower than that of the control group,and the evaluation accuracy is higher.The design method can solve the problem of insufficient teaching quality monitoring and evaluation accuracy in the past.

关 键 词：高校 大数据 教学质量评价 可视化监控 

分 类 号：TP343.7[自动化与计算机技术—计算机系统结构]