Application of Network Information Technology in Physical Education and Training System under the Background of Big Data

Abstract

During the last two decades, rapid development in the network technology has been observed, particularly hardware, and the development of software technology has accelerated, resulting in the launch of a variety of novel products with a wide range of applications. Traditional sports training systems, on the other hand, have a single function and a complex operation that cannot be fully implemented in colleges and universities, causing China's sports training to stagnate for a long time. The goal of physical education and training is to teach a specific action to attain its maximum potential in a variety of ways. As a result, we should use the system to collect scientifically sound and trustworthy data to aid relevant staff in completing their training tasks. Therefore, in the context of big data, network information technology has become the main way to improve the physical education system. By applying cloud computing technology, machine vision technology, and 64-bit machine technology to the physical education training system, extract the video data of the physical education system, design the system video teaching process, and complete the construction of three-dimensional human model, so as to analyze the training situation of the trainers. In this paper, 30 basketball majors in a university are selected as the professional group and 30 computer majors as the control group. The average reaction time, scores, and expert scores of the two groups are analyzed. The results show that the test of the professional group is significantly higher than that of the amateur group. At the same time, the feedback results of students using physical education and training system and normal physical education teaching and training are compared and analyzed. One week later, the students trained by the physical education system have improved their thinking ability, movement accuracy, and judgment ability, indicating that the application of the physical education training system to the actual effect is ideal.

Investigating popular topics for the integration of the internet of things in physical education: A content analysis in higher education

“…Physical education is a very important subject studied in schools (Green, 2014;Stormoen et al, 2016), as it makes a significant contribution to the spiritual, moral, social, and cultural development (Cale et al, 2016;Harris, 2018) and the development of students (Akhter & Ahmed, 2021). The traditional mode of teaching physical education is gradually being abandoned, and physical education has begun to change direction towards intelligent forms (Ding et al, 2021;Meng, 2021;Yu, 2021), such as the use of MOOCs in physical education learning at the higher education level in football materials (Tian et al, 2022), basketball learning through network information technology through images, words, sounds, videos, and animations (Chen & Zhou, 2022), procurement of smart sports in universities as a resource for smart sports teaching, smart sports facilities, online competitions, and virtual sports for college students (Deng et al, 2022), and the use of AI and metaverse through the mobile internet (Li et al, 2022). In addition, the development of the Internet of Things for physical education teaching towards smart forms can also be observed, especially during the COVID-19 pandemic, and proven to help in online learning (Bucea-Manea-Țoniș et al, 2022), by being oriented towards actual classroom teaching (Cai et al, 2019;Nosova et al, 2015;Turton et al, 2016), such as the use of Google Classroom, Moodle, and other information technology (Shmeleva et al, 2021).…”

Retracted: Application of Network Information Technology in Physical Education and Training System under the Background of Big Data

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”