基于数据挖掘技术的高校学生成绩管理研究

College Students'Performance Management Based on Data Mining Technology

针对目前部分学生想当然认为上大学后就可以放松学习的心理以及不重视基础课程学习的现象,对数据库中学生的成绩信息进行挖掘,然后根据数据挖掘中的关联规则,提取隐含在各门课程之间的联系,以期寻找影响学生成绩好坏的潜在因素,而后根据这些因素建立成绩预警机制,从而为高校从事管理工作的人员以及高校教学改革更好地开展工作提供理论支持和科学依据。

Aiming at the mentality of some college students that learning can be relaxed in university,and the common phenomenon that basic courses of study are neglected, student performance information in database is mined. Then,according to the association rules in data mining, implied relationship between different courses is extracted in order to find the potential factors influencing students＇ grades. So performance warning mechanism can be established based on these factors to provide theoretical support and scientific basis for personnel and teaching reforms in colleges.