学生成绩关键因素挖掘与成绩预测
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金(61673251);中央高校基本科研业务费项目(GK201701006,GK201806013)


Mining the key factors behind student performance and predicting students' examination scores
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为了探索影响学习成绩的关键因素,为学生学习、教师教学和学校管理提供帮助,采用密度全局K-means算法对UCI机器学习数据库的葡萄牙学生数据、陕西蒲城县第三高级中学的学生数据进行聚类分析,挖掘影响学生成绩的相关因素,并对学生成绩进行预测分析.葡萄牙学生数据挖掘发现:学生成绩与其所在学校、家庭住址、母亲学历、家庭有无网络有极大相关性,与父亲受教育程度、上学路上花费时间、想上大学、在谈恋爱也有一定相关性.蒲城县第三高级中学学生数据分析发现:学生成绩与其监护人、父母年龄、父母学历、学习态度、课后学习量之间有极大相关性.成绩预测聚类结果显示:预测成绩与实际成绩一致.中外学生数据挖掘揭示:学生成绩与父母受教育程度,特别是母亲受教育程度密切相关,母亲受教育程度越高,孩子学习成绩越好;孩子成长过程中,父母作为监护人的陪伴作用不容忽视;激励和引导学生树立远大理想,调动学生学习的主动性,对学习成绩和成长至关重要;缩小城乡教育差距势在必行.

    Abstract:

    Understanding the key factors that influence student performances will help students,teachers,and administrators to improve the performance of the students.To this end,the density-based global K-means algorithm is adopted to perform cluster analysis of the student performance data from the UCI machine learning repository for two secondary education Portuguese schools and for a senior middle school of the Pucheng county in the Shaanxi province.The results for the two Portuguese schools reveal that student performance is strongly related to the specific school where the student is enrolled,and location of residence,mother's education level,and if the network is available or not in the family.Education level of the father,the time the student takes on the way to school,the willingness of the student to go to college,and whether the student is in love are factors affecting the student performance to some extent.The results of the third senior middle school demonstrate that student performance is strong related to their guardians,parents' age,parents' education level,learning attitude of the student,and the time the student devotes to courses after classes.In addition,the results indicate that scores of a student for the upcoming examination can be predicted with the available ones and that the predicted scores coincide with the actual ones.The studies in this paper demonstrate that student performance is strong related to parents' education level,especially to mother's education level.The higher the level of education of the mother,the better the student performance.Parents cannot ignore their role in the individual growth of children.It is important to teach students to study actively to improve their achievements.Finally,it is imperative that the education gap between the urban and rural areas is narrowed.

    参考文献
    相似文献
    引证文献
引用本文

谢娟英,张宜,陈恩红.学生成绩关键因素挖掘与成绩预测[J].南京信息工程大学学报(自然科学版),2019,11(3):316-325
XIE Juanying, ZHANG Yi, CHEN Enhong. Mining the key factors behind student performance and predicting students' examination scores[J]. Journal of Nanjing University of Information Science & Technology, 2019,11(3):316-325

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2019-05-10
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2019-08-06
  • 出版日期:

地址:江苏省南京市宁六路219号    邮编:210044

联系电话:025-58731025    E-mail:nxdxb@nuist.edu.cn

南京信息工程大学学报 ® 2024 版权所有  技术支持:北京勤云科技发展有限公司