数据挖掘在高校教学管理中的应用研究

Application Study of Data Mining Technology to Teaching Management

将数据挖掘技术应用到教学管理,基于CR ISP-DM数据挖掘模型,使用SPSS数据挖掘工具,从海量的学生成绩数据中发现有用的信息,并将这些信息有效地组织、整理、提取,以便及时了解教学活动状况、分析课程之间的相互关系、了解学生的学习特征、把握教学方面的异常现象等。该方法能增强教学与教学管理改革的针对性,能为管理者提供教务管理的经验和进行总结的方法,并能提高其工作效率,实现合理的教学安排。

In this paper, data mining technology is used to teaching management. Based on the CRISP-DM data mining model and the use of SPSS data mining tools, we can find useful information from the mass of student achievement data. Then, the information was effectively organized, collated, extracted in order to keep abreast of the situation of teaching and learning activities, analysis of the relationship between courses, understand of student learning characteristics, and grasp the phenomenon of teaching and learning. The method can enhanee the pertinence of teaching and teaching management reform, provide managers with experience in academic management and the method of summing up, and can improve their work efficiency to achieve reasonable arrangements for the teaching and learning.