Data Collection and Analysis in Physical Education Practical Teaching Based on Internet of Things

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Information Technology and Web Engineering Pub Date : 2023-10-26 DOI:10.4018/ijitwe.332857

Yang Xu, Min Liu

引用次数: 0

Abstract

This article focuses on the application of the internet of things and decision tree algorithms in the collection of sports practice teaching data and evaluates the performance and effectiveness of this method through experimental data analysis. The results show that the sports practice teaching data collection method based on the internet of things decision tree algorithm has shown good performance and effectiveness in the experiment. Therefore, this method can effectively extract useful information, provide accurate feedback and guidance for teachers, and is conducive to improving teaching quality and optimizing teaching methods.

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基于物联网的体育实践教学数据收集与分析

本文重点研究了物联网和决策树算法在体育实践教学数据采集中的应用，并通过实验数据分析对该方法的性能和有效性进行了评价。实验结果表明，基于物联网决策树算法的体育实践教学数据采集方法在实验中表现出了良好的性能和有效性。因此，该方法可以有效地提取有用信息，为教师提供准确的反馈和指导，有利于提高教学质量，优化教学方法。

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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来源期刊

International Journal of Information Technology and Web Engineering COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

2.60

自引率

0.00%

发文量

期刊介绍： Organizations are continuously overwhelmed by a variety of new information technologies, many are Web based. These new technologies are capitalizing on the widespread use of network and communication technologies for seamless integration of various issues in information and knowledge sharing within and among organizations. This emphasis on integrated approaches is unique to this journal and dictates cross platform and multidisciplinary strategy to research and practice.