{"title":"The Analysis of Influencing Factors of Wisdom Classroom Teaching Based on Random Forest","authors":"Ting Wang, Yan Ma","doi":"10.1109/icise-ie58127.2022.00012","DOIUrl":null,"url":null,"abstract":"In the “Internet +” era, smart education is the hot spot in the constr, In the era of “Internet +”, smart classroom is a hot spot in the construction and development of education and teaching. This paper takes the computer major course scores in the online smart platform of a university in Chongqing as an example, and then uses the random forest model to reduce the dimension of influencing factors, and then uses Spearman correlation analysis to analyze the correlation of variables after dimensionality reduction. Find the important influencing factors and the interaction between the important influencing factors. This paper discusses the influence degree of each dimension in the smart classroom environment on the final examination score, and then provides the selection basis for the discussion of the teaching design and mode of smart classroom.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"30 9-10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icise-ie58127.2022.00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the “Internet +” era, smart education is the hot spot in the constr, In the era of “Internet +”, smart classroom is a hot spot in the construction and development of education and teaching. This paper takes the computer major course scores in the online smart platform of a university in Chongqing as an example, and then uses the random forest model to reduce the dimension of influencing factors, and then uses Spearman correlation analysis to analyze the correlation of variables after dimensionality reduction. Find the important influencing factors and the interaction between the important influencing factors. This paper discusses the influence degree of each dimension in the smart classroom environment on the final examination score, and then provides the selection basis for the discussion of the teaching design and mode of smart classroom.