Evaluation model of multimedia-aided teaching effect of physical education course based on random forest algorithm-Reference-Cited by-同舟云学术

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

Published:2022-01-01 Issue:1 Volume:31 Page:555-567
ISSN:2191-026X
Container-title:Journal of Intelligent Systems
language:en
Short-container-title:

Author:

Liu Gang¹²,Zhuang Hongbo³

Affiliation:

1. College of Physical Education, Hunan University of Science and Technology , Xiangtan 411201 , China

2. DBA Candidate, International College, Krirk University , Bangkok 10220 , Thailand

3. Institute of Medical Technology, Xiangtan Medicine and Health Vocational College , Xiangtan 411102 , China

Abstract

Abstract 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.

Publisher

Walter de Gruyter GmbH

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.degruyter.com/document/doi/10.1515/jisys-2022-0041/pdf

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