基于数据挖掘技术的高校教学管理信息化探索

Exploration of University Teaching Management Informatization Based on Data Mining Technology

数据挖掘技术有较强的信息处置能力,即便面对海量数据,仍可在较短时间内完成数据整理分析,数据采集迅捷,在数据分析方面精准度较高,可判断数据信息发生轨迹,成为数据信息内容把控的重要手段。在教育深化改革的背景下,高校重视教学信息化管理工作,引入教学信息化管理系统后,选择分类式方法进行教学管理。基于高校对教学工作的定位,利用教学信息化管理系统整理活动数据,配合数据挖掘技术进行课程设置、学生成绩分析、特征判断和高校领导决策信息提供等工作,为高校教学管理工作赋能,可使教学管理高质量运行。

Data mining technology has a strong ability in information disposal.Even in the face of massive data,it can still complete data sorting and analysis in a short time,with rapid data collection and high accuracy in data analysis.It can judge the trajectory of data information and becomes an important means to control the content of data information.Under the background of deepening education reform,colleges and universities attach importance to the teaching information management.After introducing the teaching information management system,they choose the classification method for teaching management.Based on the orientation of the teaching work in colleges and universities,this paper uses the teaching information management system to sort out the activity data,and with the data mining technology to carry out curriculum setting,student achievement analysis,characteristic judgment and school leadership decision-making information,so as to empower the teaching management in colleges and universities.