The Analysis of Influencing Factors of Wisdom Classroom Teaching Based on Random Forest

Ting Wang, Yan Ma
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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.
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基于随机森林的智慧课堂教学影响因素分析
在“互联网+”时代,智慧教育是社会关注的热点;在“互联网+”时代,智慧课堂是教育教学建设和发展的热点。本文以重庆某高校在线智能平台的计算机专业课程成绩为例,利用随机森林模型对影响因素进行降维,然后利用Spearman相关分析对降维后变量的相关性进行分析。找出重要影响因素以及重要影响因素之间的相互作用。本文探讨了智慧课堂环境中各个维度对期末考试成绩的影响程度,进而为探讨智慧课堂的教学设计与模式提供了选择依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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