大数据背景下PDCA在高校教学质量评价系统中的应用  

Application of PDCA in College Teaching Quality Evaluation System under the Background of Big Data

作　　者：乔洁[1] 李方方[1] 高云[1] QIAO Jie;LI Fangfang;GAO Yun(Nanjing Vocational College of Information Technology,Nanjing Jiangsu 210023,China)

机构地区：[1]南京信息职业技术学院,江苏南京210023

出　　处：《信息与电脑》2020年第24期211-212,共2页Information & Computer

基　　金：江苏省高教学会评估委员会2020年度课题“大数据在高校教学质量评价体系中的运用研究”(项目编号:2020-C35)。

摘　　要：基于大数据分析的高校教学质量评价系统作为教学质量监控的重要平台,其数据分析的结果对于保证高校人才培养质量具有重要的意义。本文结合PDCA循环特征和大数据背景下高校教学质量评价系统的特性,分析了借鉴PDCA循环理论完善高校教学质量评价系统的必要性和可行性,构建了PDCA循环理论在高校教学质量评价系统中的应用模式,以达到不断提升高校教学质量评价水平的目的。As an important platform for teaching quality monitoring,the teaching quality evaluation system based on big data analysis is of great significance to the quality assurance of college talents training.Combining the characteristics of PDCA cycle and the characteristics of college teaching quality evaluation system under the background of big data,this paper analyzes the necessity and feasibility of using PDCA cycle theory to improve the college teaching quality evaluation system,and establishes the application model of PDCA cycle theory in the college teaching quality evaluation system.In order to promote the college teaching quality evaluation level constantly improve,so as to improve the teaching quality.

关 键 词：PDCA 大数据 教学质量 评价系统 

分 类 号：G642[文化科学—高等教育学]