计算机与现代化 ›› 2013, Vol. 1 ›› Issue (3): 82-84.doi:

• 数据库与数据挖掘 • 上一篇    下一篇

基于数据挖掘的高校学生学习成绩分析应用研究

樊同科,孙姜燕   

  1. 西安外事学院现代教育技术中心,陕西西安710077
  • 收稿日期:2012-12-10 修回日期:1900-01-01 出版日期:2013-04-03 发布日期:2013-04-03

Analysis and Application of College Students’ Academic Record Based on Data Mining

FAN Tong-ke, SUN Jiang-yan   

  1. Modern Education Technology Center of Xi’an International University, Xi’an 710077, China
  • Received:2012-12-10 Revised:1900-01-01 Online:2013-04-03 Published:2013-04-03

摘要: 高校的学生成绩管理是各高校教务管理工作的核心和基础。大多数高校的学生成绩是以多种形式保存,一般只限于对成绩的查询及简单的统计上面,没有对这些积累的海量数据背后的有用信息进行挖掘分析。针对这些海量数据构建数据仓库,利用数据挖掘技术的分类预测算法对学生成绩进行挖掘分析,表明学生成绩的高低是与学生本身的特质、生源地、教师学历等多因素有联系的。通过分析得出的这些联系可以为学校的决策和管理部门提供分析和管理的依据。反过来也可以指导和促进教学,以提高整体的教学质量。

关键词: 数据挖掘, 决策树, 学生成绩分析

Abstract: Management of college students’ academic record is an important part of work in educational administration. Most colleges store students’ records in various ways, mainly limited to searching and simple statistics, and useful information behind such mass data is not analyzed. A data base is constructed based on such data and students’ academic record is analyzed by using classification and prediction algorithm, showing that students’ academic performance is related to students’ particularity, origin and teachers’ education background. Such pertinence can provide evidence for decision-making and administration departments of schools for analysis and administration. In turn, it can instruct education and improve overall educational quality.

Key words: data mining, decision tree, analysis of student’s academic record