疫情下大数据在高职院校线上教学质量监控中的应用研究  

Research on the Application of Big Data to Online Teaching Quality Control in Higher Vocational Colleges under the Epidemic Situation

作　　者：程琦峰[1] CHENG Qifeng(School of Information Engineering,Lianyungang Technical College,Lianyungang 222006,China)

机构地区：[1]连云港职业技术学院信息工程学院,江苏连云港222006

出　　处：《连云港职业技术学院学报》2020年第4期66-69,共4页Journal of Lianyungang Technical College

基　　金：连云港市第五期“521工程”科研项目资助(LYG52105-2018053);全国职业教育科研规划课题(2019QZJ125)。

摘　　要：疫情下,"互联网+教育"成果在高职学生"停课不停学"中得到了充分的应用。同时,线上教学过程中也存在监控力度不够、监控过程不细、监控信息反馈不及时等问题,导致线上课教学质量无法保证。对此,设计基于大数据的教学质量监控系统非常必要。利用大数据技术,通过对线上教学数据的实时数据采集、分析、挖掘,实时反馈评价结果,并根据反馈情况修正教学教程,有效地解决了线上教学监控问题,提高了线上教学质量。Under the epidemic situation,the achievement of "Internet plus Education"has been fully applied to ongoing learning without classes among higher vocational students. At the same time, there are some problems in the process of online teaching,such as insufficient monitoring,no detailed monitoring process,and no timely feedback of monitoring information, which results in the non-guaranteed online teaching quality Therefore,it is necessary to design a teaching quality monitoring system based on big data. Big data technology effectively solves the problem of online teaching monitoring and improves the quality of online teaching,through the real-time data acquisition,analysis,mining of online teaching data,real-time feedback evaluation results,and according to the feedback correction of teaching courses.

关 键 词：疫情 大数据 线上教学 质量监控 高等职业院校 

分 类 号：G712[文化科学—职业技术教育学]