摘要
文章首先根据获得的网络学习数据,建立典型相关性分析模型,得出观看视频次数、讨论次数以及平台访问次数对学生的成绩有影响.其次,分别通过多元线性回归模型、逐步线性回归模型、多元二项式回归模型对数据进行了定量分析,最终得出上述“复变函数”的网络学习三种因素对学生成绩的关联度.
Firstly,according to the data obtained,a typical correlation analysis model is established,and the qualitative analysis shows that the number of video viewing,the number of discussions and the number of visits to the platform do have an impact on the performance of students. Then,the data are quantitatively analyzed by multivariate linear regression model,stepwise linear regression model and multivariate two-item regression model. Finally,the relationship between the network learning of“complex function”and achievement of students is obtained.
作者
储亚伟
王娟
杨舒媛
许钦
CHU Ya-wei;WANG Juan;YANG Shu-yuan;XV Qin(School of Mathematics and Statistics,Fuyang Normal University,Fuyang,Anhui 236037,China)
出处
《通化师范学院学报》
2019年第6期123-127,共5页
Journal of Tonghua Normal University
基金
安徽省高等学校质量工程项目(2015gxk149,2015jxtd121,2016mooc271,2018jyxm0491)
安徽省高等学校省级自然科学研究重点项目(KJ2014A196,KJ2018A0330)
阜阳师范学院研究项目(BKSKY(17-18)-330,2017JYXM26)
关键词
典型相关性分析模型
回归分析模型
网络学习
学生成绩
typical correlation analysis model
regression analysis model
network learning
student achievement