摘要
为实现对学生学业成绩差异性的量化分析和方差对比,文章提出基于回归分析模型的学生学业成绩差异分析模型。文章构建了学生学业成绩的梯度分析模型,采用差异化的信息重组方法,进行学生学业成绩的大数据演化分析,建立学生学业成绩分布式递归统计分析模型,采用SPSS统计分析方法,实现学生学业成绩的差异性动态信息管理。实例分析结果表明,采用该方法进行学生学业成绩差异度检验的准确性较好,显著度水平较高,提高了学生学业成绩的量化分析能力。
In order to realize the quantitative analysis and variance comparison of the differences in students’academic performance,a regression analysis model-based analysis model of students’academic performance differences is proposed.Construct a gradient analysis model of students’academic performance,use differentiated information reorganization methods,conduct big data evolution analysis of students’academic performance,establish a distributed recursive statistical analysis model of student academic performance,and use SPSS statistical analysis methods to achieve differences in student academic performance Sexual dynamic information management.The results of the case analysis show that the accuracy of the test of the difference degree of students’academic performance with this method is better,the significance level is higher,and the quantitative analysis ability of students’academic performance is improved.
作者
冯玉平
李恒武
郭辉
Feng Yuping;Li Hengwu;Guo Hui(Strategic Support Forces Information Engineering University of PLA,Zhengzhou 450000,China)
出处
《无线互联科技》
2022年第8期140-142,共3页
Wireless Internet Technology
关键词
回归分析
学生学业成绩
差异性
变量分布集
regression analysis
student academic performance
difference
variable distribution set