Evaluation model of multimedia-aided teaching effect of physical education course based on random forest algorithm

被引：14

作者：

Liu, Gang ^{[2
,3
]}

Zhuang, Hongbo ^{[1
]}

机构：

[1] Xiangtan Med & Hlth Vocat Coll, Inst Med Technol, Xiangtan 411102, Peoples R China

[2] Hunan Univ Sci & Technol, Coll Phys Educ, Xiangtan 411201, Peoples R China

[3] Krirk Univ, Int Coll, Bangkok 10220, Thailand

来源：

JOURNAL OF INTELLIGENT SYSTEMS | 2022年 / 31卷 / 01期

关键词：

random forest algorithm; physical education curriculum; auxiliary teaching; effect evaluation; PERFORMANCE;

D O I：

10.1515/jisys-2022-0041

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The multimedia technology and computer technology supported by the development of modern science and technology provide an important platform for the development of college physical education teaching activities. To better play the role of network auxiliary teaching platform in college sports teaching and improve the effectiveness of college sports teaching, the construction method of multimedia auxiliary teaching effect evaluation model based on the random number forest algorithm is proposed. Through the specification of the random forest algorithm and the optimization of the teaching quality evaluation index, the auxiliary teaching level of the college physical education network is analyzed, and the evaluation of the multimedia auxiliary teaching effect of the physical education courses is completed. The experimental results verify the effectiveness of the evaluation model designed in this article, with a user satisfaction of 72%. Teachers and students can use the evaluation model to improve the teaching quality and teaching efficiency, improve the management work, and promote the scientific, standardization, and specialization of physical education teaching management in colleges and universities.

引用

页码：555 / 567

页数：13

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