摘要
本文分析了目前高校教学质量评价的现状及不足,在此基础上,将大数据挖掘技术应用到高校教学质量评价体系中。通过采集高校信息化应用中与教学质量相关的各类数据,并对数据进行存储、分析和展示,建立起一套多元主体、持续动态、科学高效的评价体系。同时,通过对数据全面深入的分析,探寻深层次的影响教学质量的因素,推动高校教学质量的提升。
This paper analyzes the current status and deficiencies of the evaluation of teaching quality in universities. Based on this, it applies the big data mining technology to the evaluation system of teaching quality in universities. By collecting various types of data related to teaching quality in university informatization applications, and storing, analyzing and displaying the data, a set of multi-subjects, continuous dynamic, scientific and efficient evaluation systems have been established. At the same time, through thorough and thorough analysis of the data, we will explore deep-seated factors influencing teaching quality and promote the improvement of teaching quality in colleges and universities.
作者
姚建红
陈庆璋
许广举
YAO Jianhong;CHEN Qingzhang;XU Guangju(Changshu Institute of Technology, Changshu, Jiangsu 215500)
出处
《科教导刊》
2018年第15期22-23,共2页
The Guide Of Science & Education
关键词
大数据
高校
教学质量
教学评价
big data
college
teaching quality
teaching evaluation