基于R语言的学生成绩分析

Analysis of Students Performances Based on R Language

高校学生成绩分析在评价高校教育教学质量以及学生的综合能力方面具有非常重要的意义,学习和掌握成绩分析的软件和方法十分必要。R统计软件作为一个优秀的统计分析软件在成绩分析中却很少使用,本文基于R语言编程,采用描述性统计分析、相关分析及典型相关分析等方法对合肥幼儿师范高等专科学校学前教育专业学生在校成绩及中考成绩进行研究,并采用回归模型分析该专业学生在校的课程学习成绩对期末成绩的影响。研究结果显示,学生的全部课程成绩与中考成绩的分布相似,且学习成绩中等偏下者较多,但线性相关性不显著,学生在校成绩与中考成绩存在显著的典型相关关系;经过回归分析可知,理学必修课成绩对学生在校总成绩的影响最大,人文社科类必修课及专业必修课成绩对总成绩的影响稍微弱一些,但总体上对总成绩都呈现正向的影响。

The analysis of college students scores is of great significance in evaluating college teaching quality as well as students comprehensive ability.Therefore,it is necessary to learn to use the software for performance analysis and master the methods as well.As an excellent statistical analysis software,R language rarely appears in the performance analysis.Based on R language programming,the paper adopts methods such as descriptive statistical analysis,correlation analysis and canonical correlation analysis to study the grades in college and high school entrance examination of the students in Hefei Preschool Education College.The results show that students grades in college and entrance examination are similar in distribution,and most of the academic records are below average;however,the linear correlation is not significant enough.The results of canonical correlation analysis show that there is a significant canonical correlation between students grades in college and in entrance examination.