数据挖掘技术在高校教学质量监控与评估系统中的应用研究

Research on the Application of Data Mining Technology in University Teaching Quality Monitoring and Evaluation System

高校教学质量监控与评估系统是对高校教学工作给出科学、客观评价,并在深层挖掘其中问题的情况下,有效优化调整教学工作的重要系统。但先前静态储存状态下的高校教学质量方面的数据,又严重影响到数据存在的价值以及规律的挖掘。数据挖掘技术作为大数据时代下深刻挖掘数据背后隐藏规律和价值的有效工具,能在高校质量教学监控与评估体系中发挥重要作用。本文主要分析高校教学质量监控与评估系统中的数据挖掘技术应用类型,探讨高校教学质量与评估系统中的数据挖掘实现方法,希望对相关人员有一定的借鉴意义。

The teaching quality monitoring and evaluation system in colleges and universities is an important system that gives a scientific and objective evaluation of the teaching work in colleges and universities, and optimizes and adjusts effectively the teaching work in the case of deep mining of the problems. However, the previous data on the teaching quality of colleges and universities under the static storage state has affected seriously the value of the data and the mining of the law. Data mining technology, as an effective tool for deeply mining the hidden laws and value behind data in the era of big data, can play an important role in the quality teaching monitoring and evaluation system of colleges and universities.