Construction of Selection and Evaluation Algorithm for High-Level Tennis Students in Colleges and Universities Based on Random Matrix Model

Kang, Huayang

doi:10.1155/2022/2931029

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…In addition to the more traditional emphasis on developing students' mathematical reasoning skills and linguistic competence, we place a premium on students' individuality as a means of enhancing their capability to deal with practical challenges and produce product outcomes. The teachers help the students grow in this area (Kang.,2022). This is due to the fact that development in both areas is required for students to graduate.…”

Section: Variation In Aptitude Among Peoplementioning

confidence: 99%

Analysis of the Construction of Tennis Technology Teaching System in Physical Education Based on Fuzzy Mathematics

Weixin Zhao

2024

jes

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This research looks at how fuzzy mathematics may be used in the development of a tennis technological instructional system in PE. Tennis players will learn how to operate the system while it is being built. The goal is to enhance both the teaching and learning of tennis skills by establishing a technique that is simultaneously comprehensive and effective. The approach considers factors including player ability, court conditions, and equipment choice, all of which affect tennis effectiveness and skill acquisition. The system makes use of a number of different methods, including fuzzier logic and fuzzy sets. The proposed method aims to optimize the teaching procedure for teaching tennis in physical education classrooms, with the ultimate objective of improving the overall effectiveness of tennis instruction. Customized comments and flexible teaching strategies will help us reach our goal. A lot of progress has been achieved in Asia over the past couple of decades in what is being called the "global fitness campaign." Everyone's day now includes some kind of sporting activity. Colleges and universities, as incubators of talent, have started adapting their methods of teaching physical education in order to produce more people with high levels of competitiveness, pedagogical skill, and social flexibility. More specifically, people with such skills will be able to compete favorably, educate others effectively, and integrate into their new environments. In an effort to modernize the way physical education is taught in higher education, several institutions have begun introducing the notion of multiple intelligences to their students. This work is part of a larger movement to modernize the way K–12 and higher education institutions teach physical education. It provides a thorough illustration of the benefits that the theory of several different intelligences brings to the classroom placement of physical education by analyzing both the concept and the substance of the theory of many abilities as well as contrasting it to the conventional method for instructing physical education. In this study, an educational model predicated on the idea of many intelligences is built using fuzzy mathematics and the fuzzy set approach. The theoretical basis for the model further, we investigate experimental approaches to teaching Tennis in higher education. This study's overarching goal is to improve physical education instruction at universities. We evaluate college Tennis coaching in order to learn more about the students' understanding of sports technology, their capacity for constructive thought, and their skills as future educators. We employ the theory of multiple intelligences as a theoretical framework to guide our investigations. The results of the research show that the educational technique, which was driven by the idea of multiple intelligences, was adapted to the unique cognitive styles of the students who took part in the trials. Teachers and students spoke to one another during class, which boosted students' capacity for critical thinking.

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Section: Variation In Aptitude Among Peoplementioning

confidence: 99%

Analysis of the Construction of Tennis Technology Teaching System in Physical Education Based on Fuzzy Mathematics

Weixin Zhao

2024

jes

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“…Kang [25] have presented construction of selection with evaluation process for higher-level Tennis students in colleges with universities depend on random matrix method. The presented method enhancing selection, training of elite tennis students is significantly impacted by the technique used to evaluate the abilities of these kids.…”

Section: Literature Reviewmentioning

confidence: 99%

Multitask Multi attention Residual Shrinkage Convolutional Neural Network Personalized Assessment Model of Tennis Teaching Based on Data Mining and Intelligent Recommendation

Yang Liu

2024

jes

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Tennis is highly explosive, continuous, intense sport that involves numerous continuous short-term explosive actions. This type of training is short-term, high-intensity, and focuses on competitive skills. Athletes must be physically fit and have long-term endurance to excel in technical and tactical skills during competition. In this manuscript, Multitask Multi attention Residual Shrinkage Convolutional Neural Network Personalized Assessment Model of Tennis Teaching Based on Data Mining and Intelligent Recommendation (MMARSCNN-PAM-TT-DM-IR) is proposed. The input data are collected from training levels of technical – sportive actions of 12-14 years old tennis players’ dataset. Initially the input data is preprocessed using Generalized Multi-kernel Maximum Correntropy Kalman Filter for exploring the data. The pre-processed data is given into Gradient Descent Namib Beetle Optimization (GDNBO) for choosing features from the dataset. Then, selected features are given to Dual Tree Complex Discrete Wavelet Transform to extract gray-scale statistical features such as Homogeneity, Entropy, Energy and Smoothness. Finally, the extracted feature attributes are given to MMARSCNN is used to Tennis Teaching Based on Data Mining. In general, MMARSCNN does not express some adaption of optimization strategies for determining optimal parameters to assure accurate Teaching of Tennis. Therefore, Zebra Optimization Algorithm (ZOA) is proposed to enhance weight parameter of MMARSCNN, which precisely Teaching of tennis depend on Data Mining. The proposed model is implemented, its efficacy is assessed utilizing some performance metrics such as accuracy, precision, F1-score, MSE, AUC. The proposed MMARSCNN-PAM-TT-DM-IR method provides 22.55%, 24.72% and 29.63% higher accuracy; 32.66%, 34.97% and 29.57% higher precision; 25.18%, 21.52% and 28.68% higher F1-Score is compared with existing method such as analysis characteristics of Tennis singles matches depend on 5G with data mining technology (AOC-TSM-DM), Tennis online teaching information platform depend on android mobile intelligent terminal (AMIT-TTP-DM), optimization analysis of Tennis players’ physical fitness index depend on data mining with mobile computing (OA-TP-DM-MC) respectively.

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A multidimensional dynamic assessment system for competence in computer science to improve students’ academic achievements and learning potential

Hu,

Zhang,

Zhang

et al. 2024

Educ Inf Technol

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Construction of Selection and Evaluation Algorithm for High-Level Tennis Students in Colleges and Universities Based on Random Matrix Model

Cited by 3 publications

References 23 publications

Analysis of the Construction of Tennis Technology Teaching System in Physical Education Based on Fuzzy Mathematics

Analysis of the Construction of Tennis Technology Teaching System in Physical Education Based on Fuzzy Mathematics

Multitask Multi attention Residual Shrinkage Convolutional Neural Network Personalized Assessment Model of Tennis Teaching Based on Data Mining and Intelligent Recommendation

A multidimensional dynamic assessment system for competence in computer science to improve students’ academic achievements and learning potential

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