Analysis of the application of modern mobile wireless network terminal in the tutoring design of college physical education course teaching

The rapid development of the Internet has injected new thinking into modern physical education teaching, making the informatization construction of physical education teaching a pivotal way to break the traditional teaching limitations and give full play to the function of physical education. Based on the modern teaching theory, this study analyzes the informationized teaching mode of physical education in colleges and universities and the availability of teaching resources. Adopting principal component analysis method, combining KNN-ADPC clustering algorithm and introducing K nearest neighbor idea, this paper aims to explore the key factors affecting the effect of sports informatization teaching in colleges and universities. The sports informatization teaching in specific colleges and universities is selected as a research case, and the fuzzy qualitative comparative analysis method is used to conduct an in-depth study. The study results show that students’ sports cognition and teachers’ professionalism are essential requisites affecting the effectiveness of sports informatization teaching, with the consistency of the two being close to 0.9. The effectiveness of sports informatization teaching is mainly affected by the third configuration, with a coverage rate as high as 83.4%, in which teachers’ professionalism is proved to be the most critical influencing factor. The conclusion of the study points out that to effectively enhance the development of physical education informatization teaching, the professional training of teachers and the cognitive ability of students in sports should be strengthened, as well as to improve the physical education teaching environment and to create a positive physical education cultural atmosphere.

Section: Introductionmentioning

confidence: 99%

The Development Path of College Physical Education Informationization Based on Modern Teaching Theory

Guo,

Wang,

Sheng

2024

“…Internet technology has been widely used in education and teaching, and many teachers apply it in classroom teaching [1]. There is only one physical education class per week in colleges and universities, and it is not easy to implement the teaching of Civics and Politics, and the application of digital teaching resources can complement traditional teaching [2][3]. Therefore, physical education teachers in colleges and universities should make use of digital teaching resources to explore new teaching methods, continuously develop teaching methods, continuously improve the quality and level of the Civics teaching of physical education courses in colleges and universities, and improve the comprehensive quality of college students [4][5].…”

Section: Introductionmentioning

confidence: 99%

Digitization of Civics in College Physical Education Courses Based on the Correlation Matrix

Liu,

2023

In this paper, after the extraction of teaching resource features by mutual information method, the classification of Civics teaching resources is realized by constructing a decision tree classifier. According to the current situation of Civics education in university sports courses, the set segmentation correlation function is determined, the contribution of each factor is combined using the correlation matrix, the correlation coefficient weights are calculated, and the design of the Civics multimodal corpus is accomplished based on big data technology. Nine universities in Guangzhou City were selected as the objects of this study, and the research data were obtained through questionnaire surveys of physical education teachers in these nine schools. SPSS26.0 and Origin 2019 software were used to study the Civics and Politics of Physical Education Courses in Colleges and Universities. The results show that the convergence speed of the objective function of the algorithm in this paper and the classification accuracy has been improved substantially, compared with other algorithms, by about 0.3 to 0.7, i.e., it shows that the algorithm in this paper has a good performance of classification of the course Sijian. The scores of national sentiment and sports core literacy are 0.76 and 0.76, respectively, with a rank of medium (less than 0.79), and the score of physical and mental health is 0.82, with a rank of high (greater than or equal to 0.8). That is, the public physical education (volleyball) class has a relatively satisfactory effect on the cultivation of students’ physical and mental health, while there is still room for progress in the cultivation effect of family and national sentiment and sports core literacy. This study supplements, to a certain extent, the lack of an evaluation index system for the effect of sports courses’ ideology and nurturing and promotes the better development of public sports courses’ ideology.

“…Higher education can only survive and develop and promote social progress in the knowledge era by continuously improving its quality, cultivating high-quality specialists, creating high-quality research results and providing high-quality education services for society. As a part of higher education, higher physical education colleges and universities have strong professional and industrial characteristics and shoulder the task of cultivating various types of sports professionals for China [1]. In the context of the current large-scale development of higher education in China, physical education institutions have also inevitably entered the ranks of large-scale development.…”

Section: Introductionmentioning

confidence: 99%

“…Fan Zhang. Applied Mathematics and Nonlinear Sciences, 9(1) (2024)[1][2][3][4][5][6][7][8][9][10][11][12][13] …”

mentioning

confidence: 99%

Research on Physical Education Management System in Higher Education Institutions in the Context of Deep Learning

Zhang

2023

This paper focuses on the management of physical movement sports disciplines and combines relevant algorithms to design an artificial intelligence-based physical education management system framework. In terms of related algorithms, the first is for the research of character recognition algorithms. Considering the intra-class differences between individual movements, the LR-based feature extraction algorithm is proposed. Secondly, for the research of the action evaluation algorithm, the statistical value, DTW parameter action time series difference and correlation coefficient based on the statistical value and DTW parameter are used as the features, combined with SVM-based feature extraction algorithm for perceiving the action differences. Finally, with the help of deep neural networks for movement analysis, we can improve students’ movement techniques during training. In the course schedule supported by the system, the proportion of moderate-intensity exercise time is high, basically, more than 40%, which meets the WHO requirements for high-intensity exercise time in physical education classes. The post-course RPE feedback from students was spread out between 12 and 15, and the highest post-course RPE value was 14.82<unk>1.38, which was evaluated within a reasonable range of intervals. The teaching management system in this paper can meet the requirements of physical training and teaching, and provide quantifiable basis and management tools for the informatization and precise teaching of physical movement subjects.