Data collection and analysis in physical education practical teaching based on internet of things

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.