Advancement in Physical Education Teaching Using Improved Energy Efficient Scalable Routing Algorithm-Based Wireless Network

Abstract

Physical education (PE) is a crucial topic in higher coaching that individually points motor abilities in health-enhancing activities. Conventional PE in institutions struggles to pique graduates’ attentiveness in sports, proceeding in low task involvements rates, and incapacity to exercise the body. Innovative teaching concepts and methodologies, coaching techniques and procedures, and coaching assessment techniques in physical education are all accompanied to developing the physical education study hall climate and successfully boosting physical education efficacy. Each element of regular living, especially education, is being influenced by wireless internet innovations. We will provide extra help to students by predicting academic endurance or dropout. We can improve the wireless platform’s potential utility in sports applications and change the character of PE, including visualization and repetition by incorporating it into PE teaching. Based on the concept of wireless network technology, this paper proposes an Improved Energy Efficient Scalable Routing Algorithm (IEESRA) for physical education advancement. Initially, the physical education dataset is preprocessed using normalization. The aspects are removed using the scale-invariant feature transform (SIFT) method. The data is transferred using a wireless network using Improved Energy Efficient Scalable Routing Algorithm (IEESRA). The classification is done using random forest (RF) classifier. The results of the analysis reveal that wireless network-based PE may increase graduates’ strength, speed, and qualities providing a more important reference and reference for enhancing the success of PE. The proposed strategy has the potential to enhance actual attention to PE teaching to 90% with raising students’ engagement to 70%.

Influence of Management Efficiency of Sports Equipment in Colleges and Universities Based on the Intelligent Optimization Method

“…e software design of the university sports equipment management system is mainly divided into three layers: information display layer, business processing layer, and data storage layer [3].…”

“…Today, with the increasingly rapid development in the field of information technology, it is possible to solve precisely the problems described above [2]. e use of information technology as a medium to achieve electronic system management of sports equipment can achieve efficient and convenient management [3].…”

Fuzzy evaluation model for physical education teaching methods in colleges and universities using artificial intelligence

“…Xue 27 elaborated on the teaching quality of PE using an enhanced random forest (RF) classifier adopted in an energy-efficient based routing technique in a scalable manner in a wireless environment. The analyzed attributes of 3000+ students produce increased strength, speed, and quality with an involved student engagement level of up to 94.6%, quality of PE teaching was 90%, precision of 96.8%, recall of 98.3%, and 98.1% f1-score.…”

Construction of a cross-domain integration teaching model for physical education oriented to the characteristics of disciplines

“…Physical education is a comprehensive discipline, and the teaching model should have an effective interaction and feedback mechanism [1][2]. Physical education teaching can cultivate students' physical fitness and physical quality and promote the overall development of students' comprehensive quality [3][4][5]. However, in the context of the high development of information technology, the traditional teaching mode of the discipline has been difficult to adapt to the diversified needs of students and the requirements of comprehensive ability cultivation [6][7][8].…”

“…Ming Shi, Chen Liang and Lianjun Fan. Applied Mathematics and Nonlinear Sciences, 9(1) (2024)[1][2][3][4][5][6][7][8][9][10][11][12][13][14] …”