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
{"title":"Data Collection and Analysis in Physical Education Practical Teaching Based on Internet of Things","authors":"Yang Xu, Min Liu","doi":"10.4018/ijitwe.332857","DOIUrl":null,"url":null,"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.","PeriodicalId":51925,"journal":{"name":"International Journal of Information Technology and Web Engineering","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information Technology and Web Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijitwe.332857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.60
自引率
0.00%
发文量
24
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.
期刊最新文献
Securities Quantitative Trading Strategy Based on Deep Learning of Industrial Internet of Things Multimedia Human-Computer Interaction Method in Video Animation Based on Artificial Intelligence Technology Supplier Evaluation in Supply Chain Environment Based on Radial Basis Function Neural Network Manufacturing Process Optimization in the Process Industry GA-BP Optimization Using Hybrid Machine Learning Algorithm for Thermopile Temperature Compensation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1