Decision application mechanism of regression analysis of multi-category learning behaviors in interactive learning environment

被引:11
|
作者
Xia, Xiaona [1 ,2 ,3 ]
机构
[1] Qufu Normal Univ, Fac Educ, Qufu, Shandong, Peoples R China
[2] Qufu Normal Univ, Sch Comp Sci, Rizhao, Peoples R China
[3] Qufu Normal Univ, Chinese Acad Educ Big Data, Qufu, Shandong, Peoples R China
关键词
Interactive learning environment; multi-category learning behaviors; multiple linear regression; learning analytics; improved Bayesian statistical prediction model; educational decision;
D O I
10.1080/10494820.2021.1916767
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The research of multi-category learning behaviors is a hot issue in interactive learning environment, and there are many challenges in data statistics and relationship modeling. We select the massive learning behaviors data of multiple periods and courses and study the decision application of regression analysis. First, based on the definition of data structure and relationship features, the data are normalized; secondly, a multi-category learning behavior prediction process is designed, the results of the data analysis are effective; computer program and Geoda are used for decision analysis, and the multiple regression equation of learning behaviors is constructed, so as to achieve the feasible prediction direction and effective decision trend. The decision application mechanism is a useful method to study multi-category learning behaviors, which can be referenced by model design and technology application for interactive learning environment.
引用
收藏
页码:3042 / 3054
页数:13
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