信息工程大学学报2024，Vol.25Issue(2)：162-166,5.DOI:10.3969/j.issn.1671-0673.2024.02.006
基于大数据关联分析的学生考试成绩分析
Analysis of Student Exam Scores Based on Big Data Association Analysis
摘要
Abstract
Test scores are not only an important reference for college educators to understand the im-plementation of teaching,but also an important reference for students to understand their knowledge mastery,find weaknesses,and scientifically establish personal learning goals.Carrying out analysis and application of test scores based on big data and finding the interrelationships between various subjects behind student test scores is of great significance for universities to improve management quality and efficiency,and for students to implement more targeted learning.Using the data mining technology of Apriori algorithm,this paper analyzes the data on the college entrance examination and exam scores of students of 2018,examines key courses and influencing factors that restrict student performance,which provides data support for improving talent cultivation.关键词
大数据/关联分析/考试成绩Key words
big data/correlation analysis/examination results分类
信息技术与安全科学引用本文复制引用
赵远,姚祺,赵亮飞..基于大数据关联分析的学生考试成绩分析[J].信息工程大学学报,2024,25(2):162-166,5.基金项目
河南省教育科学"十四五"规划2021年度一般课题(2021YB0479) （2021YB0479）
