Physical Education Teaching Quality Research Articles

Capabilities in Physical Education: A Comparative Analysis of School Heads’ and Teachers’ Perspectives

Background: Effective education delivery relies on PE teachers’ abilities. Research indicates that students’ school performance significantly depends on the quality of PE teaching. Objectives: This study focused on assessing instructional capabilities in physical education. Specifically, it examined how school heads and teachers evaluated teachers’ abilities in content knowledge, pedagogical skills, communication, and professionalism. Additionally, the study compared assessments between the two groups. Methods: The study employed a descriptive research design involving 98 physical education teachers and 59 school heads from the Division of Batangas City. Data collection utilized a researcher-made questionnaire and interviews. Statistical analysis involved weighted mean and independent t-tests for data interpretation. Results: The assessment revealed valuable insights regarding PE teachers’ instructional capabilities. Administrators acknowledged strengths in lesson introduction and accurate content delivery. However, areas for improvement included integrating key elements and promoting higher-order thinking skills. PE teachers felt confident introducing lessons but recognized a need to refine performance demonstrations. Administrators praised diverse teaching methods but suggested creating more challenging experiences. Communication skills were positive, with room for improvement in grammatical accuracy. PE teachers expressed dedication to student physical education but identified a need for more decisive leadership in school-based activities. The findings highlighted specific improvement needs while emphasizing contrasting perceptions between administrators and PE teachers. Conclusion: The assessment found that physical education (PE) teachers are capable in delivering junior high school PE. However, they need familiarity with emerging trends to enhance instruction. School heads and PE teachers have differing views on instructional capabilities, attributed to assessment sources: administrators rely on scheduled observations, while PE instructors use self-assessment and daily teaching experiences.

Wearable Sports Smart Glasses Real-time Monitoring and Feedback Mechanism in Physical Education

INTRODUCTION: With the continuous development of science and technology, wearable technology has been more and more widely used in various fields, including physical education. As an emerging technological tool with real-time monitoring and feedback capabilities, wearable sports smart glasses provide a new possibility for physical education teaching. This study aims to investigate the application of wearable sports smart glasses in real-time monitoring and feedback mechanisms in physical education teaching.OBJECTIVE: This study aimed to evaluate the effectiveness of wearable sports smart glasses in real-time monitoring and feedback mechanisms in physical education teaching and to explore their potential to improve students' motor skills and teaching effectiveness. It enhances the quality of physical education teaching in China from the perspective of sports medicine equipment and solves the problems of poor quality of physical education teaching and easy injury of athletes in China.METHODS: First, many physical education teaching scenarios were selected, and many students were invited to participate in the experiment. Then, wearable sports smart glasses are applied to the teaching process, and students' movement status, posture, and skill performance are monitored in real-time through their built-in sensors and software, and the data are fed back to teachers and students. At the end of teaching, the data were collected and analyzed to assess the impact of wearable sports smart glasses on students' sports performance and teaching effectiveness.RESULTS: The experimental results showed that wearable sports smart glasses could accurately monitor students' motor posture and skill performance and provide timely feedback to teachers and students. Through real-time monitoring and personalized feedback, students' motor skills were effectively improved, and the teaching effect was significantly enhanced. Students also showed high acceptance and enthusiasm for this new teaching method.CONCLUSION: Wearable sports smart glasses have the advantages of real-time monitoring and personalized feedback in physical education teaching and can effectively improve students' motor skills and teaching effectiveness. Therefore, it is of great significance to apply them in physical education teaching, which is expected to promote the development of physical education teaching in the direction of digitalization and intellectualization.

Level of Teaching Dimensions on the Teaching Factors of Physical Education Teachers

Focusing on the multi-dimensional impact of physical education teachers' teaching level, it aims to explore the impact of teaching interaction and communication, teaching evaluation and feedback, teachers' professionalism and teaching attitude on the teaching level of physical education teachers. The purpose of the research is to improve the teaching level of physical education teachers and promote the all-round development of students. Through in-depth analysis and putting forward corresponding suggestions, it can provide useful reference for the professional growth and teaching improvement of physical education teachers. The study used quantitative research methods to conduct an in-depth study of the teaching dimensions of physical education teachers' teaching factors. The results show that an excellent physical education teacher not only needs to show superb professional abilities in skills teaching, teaching organization and management, teaching interaction and communication, teaching evaluation and feedback, etc., but also needs to have profound professional qualities and serious teaching attitude. They can be student-centered, flexibly use various teaching methods and means, create a positive learning atmosphere, provide personalized guidance, and ensure that each student can fully develop in physical education. At the same time, they can continue to improve themselves, be brave in innovation, and cooperate with peers to jointly promote the development of physical education. These elements together constitute the core characteristics of high-level physical education teachers and are also the key to improving the quality of physical education teaching.

Physical Education Teaching Quality Evaluation Method Using Mobile Edge Computing in the Online and Offline Environment

The development of different technology has impacted the different stages of human life. Additionally, with the implication of computing technology sports and physical education can be improved. The use of mobile edge technology aids in gathering precise data related to physical education. Therefore, a specific improvement is possible. This following analysis has looked into the factor of mobile edge computing that aids in the evolution of physical education teaching. Moreover, the study has focused on developing an appropriate path for the integration of MEC into PE education. By utilising Mobile Edge Computing (MEC) technologies in both online and off-line learning contexts, this study offers a thorough way for assessing the quality of sports teaching. The suggested approach integrates multiple characteristics and performance measures to evaluate the efficacy of physical education instruction and participation, taking into consideration the changing educational landscape.

Teaching Core Literacy in College Physical Education and Health Courses Based on Multiple Data Integration

Abstract The study used cluster analysis and decision tree modeling to construct a multivariate data fusion physical fitness evaluation model, and also built a physical fitness core literacy evaluation model through factor analysis and fuzzy comprehensive evaluation method. These two evaluation models were subsequently applied to physical education and health teaching in colleges and universities to measure the quality of physical education teaching in colleges and universities and students’ physical health status. By analyzing the practice of physical education teaching in colleges and universities, it was found that the pull-up program had the worst performance in students’ physical fitness test, with a score of 287. In addition, the lung capacity and 50-meter dash programs contributed the most to students’ total performance, with scores of 1,291 and 1,245, respectively. From the perspective of physical education and health teaching quality, the scores of teaching situation, teaching management and biological education school effectiveness were 4.68, 4.01 and 4.52, respectively, and all of these evaluation grades were good. This study provided an accurate and scientific analysis of the overall quality of physical education and health teaching in universities and the health status of students.

Construction of Quality Evaluation System for Blended Physical Education Teaching in Colleges and Universities

Abstract The evaluation of the quality of blended physical education teaching in colleges and universities, as a part of the evaluation of university education, is of great significance in guiding the construction and development of blended physical education teaching. This paper examines the evaluation system for hybrid physical education teaching quality in colleges and universities using the principle of evaluation system construction. There are 4 primary indicators, 11 secondary indicators, and 31 tertiary indicators in the system. By using the fuzzy comprehensive evaluation method to calculate the weights of each level 1 index and level 2 index, the weights of each index are judged to account for the proportion. The improved BP neural network algorithm was used to score the indicators. Through empirical analysis, it was found that the weight share of teaching effect, teaching implementation, teaching background, and teaching implementation were 0.33, 0.27, 0.21, and 0.19, respectively, and the teaching effect accounted for the largest share. The total evaluation score was 3.9. The scores of each level indicator in descending order are teaching background (4.13), teaching implementation (4.07), teaching effect (4.05), and teaching setup (3.37). The quality of blended physical education teaching in Colleges and Universities of S is better from the overall point of view.

Research on Multi-objective Optimization Model of Physical Education Teaching Enhancement Path in Colleges and Universities

Abstract This study begins by assessing the current state of physical education (PE) teaching in higher education institutions. It establishes an optimization index system for PE teaching, utilizing the entropy weighting method to calculate the weights of the indices. These weights are then incorporated into the objective function to define the constraints for optimizing PE teaching, facilitating the construction of a multi-objective optimization model tailored to enhance PE instruction pathways. The model is solved using the NSGA-II optimization algorithm, and an illustrative analysis is conducted. The results indicate a smooth distribution of the superiority and inferiority degrees within the derived PE teaching optimization scheme, characterized by low overall dispersion (mean superiority and inferiority value of 74.2841) and minimal deviation compared to the current status (mean value of 0.09835). This confirms the effectiveness of the proposed model in improving PE teaching. The implications of this study are significant for elevating the standard and quality of PE teaching in colleges and universities, nurturing more professionals for China’s sports industry, and advancing the nation’s sports sector to unprecedented levels.

Research on the Path of Integrating Curriculum Ideological and Political into Physical Education Teaching in Colleges and Universities in the Era of Artificial Intelligence

Abstract In the era of artificial intelligence, how to effectively integrate curriculum ideology into college physical education teaching has become an essential way to improve students’ comprehensive quality, and this research area has been increasingly emphasized. The study first analyzes the dialectical relationship between curriculum Civics and college physical education teaching, pointing out that the two have consistent educational goals and concepts and can form a good synergy effect. Regarding methodology, the item group theory is used to analyze the teaching mode of civics and politics, revealing the advantages of improving the homogeneity of physical education curriculum civics and politics. Particular emphasis is placed on the importance of enhancing physical education teachers’ awareness in practicing course ideology and politics, and it is believed that teachers are the key to guiding students to form correct ideological values. The study utilizes the pull-out gearing method and the material element expandable theory to quantitatively evaluate the effect of integrating curriculum ideology and politics into physical education teaching in colleges and universities. The results showed that after integrating curriculum ideology and politics, students’ mastery of physical education skills increased by 25%, and the awareness of ideological content increased by 30%. In addition, teachers’ self-efficacy in implementing the Civic Politics in PE teaching increased by 40%, and students’ social adaptability scores increased by an average of 2.3 points out of 10. The effective integration of curriculum ideology can significantly improve the quality of physical education teaching in colleges and universities, and positively impact the enhancement of students’ ideology and morality as well as their skills and techniques.

A study on the application of data envelopment analysis in evaluating the quality of physical education teaching in universities

A study on the application of data envelopment analysis in evaluating the quality of physical education teaching in universities

A study on the application of data envelopment analysis in evaluating the quality of physical education teaching in universities

A study on the application of data envelopment analysis in evaluating the quality of physical education teaching in universities

Effective Application of Information Technology in Physical Education Teaching in the Era of Big Data

Abstract With the development of modern information technology and the promotion of “Internet + education”, the intelligentization of physical education has become an inevitable trend for future growth. To improve the teaching quality of physical education and students’ physical quality, this paper proposes Openpose bone tracking technology to identify and standardize the training movements in the physical education classroom, to ensure the adequacy of students’ activities and improve the teaching efficiency of the physical education classroom. In addition, this paper also proposes a depth-separated convolutional algorithm to optimize the bone tracking technology and enhance the accuracy of the system’s action recognition. After experimental Analysis, the matching degree of this system with the sports classroom reaches more than 75%. It plays a specific role in improving stage-specific sports scores, and nearly 10 points of scores improve the sports scores of the introduction of Openpose compared with the unused ones. It can be seen that Openpose bone tracking technology based on the depth-separated convolution algorithm can improve the teaching efficiency of the physical education classroom and standardize students’ training movements.

Research on the Innovation of Smart Teaching Mode of University Physical Education Driven by Digital Technology

Abstract Physical education teaching mode is the link between physical education teaching theory and physical education teaching practice, which has a direct impact on the quality and teaching effect of physical education teaching. In this paper, the recognition algorithm is applied to physical education, and a graph-convolutional neural network is constructed. In order to solve the problem that a graph convolutional neural network can only deal with non-motion graphs, using the Masked Attention mechanism, assigning different weights to neighboring nodes, extracting node features and features between neighboring nodes, thus the graph attention neural network, and introducing the YOLO model to predict the single and multiple postures and correct the students’ technical movements. Through the comparative experimental study in this paper, it was found that the p-values of the four dimensions of students’ attention to athletics, adverse interest in athletics learning, positive interest in athletics learning, and daily athletics exercise were all 0.000<0.05. In the two dimensions of positive interest in athletic learning and daily athletic exercise, the mean values of the students in the experimental group reached 29.11 and 32.89, respectively. In terms of comparing the results of the students in the two groups, the 50-meter Run p=0.021<0.05, Vertical Long Jump p=0.002<0.05, Seated Body Flexion and Sit-ups for girls p=0.000<0.05. Therefore, the data-intelligent physical education teaching model constructed in this paper can increase the degree of students’ interest in physical education, improve students’ participation in physical education classrooms, and optimize students’ physical education achievement and performance.

Based on fuzzy mathematics multi-level comprehensive evaluation of physical education teaching quality and improvement

Based on fuzzy mathematics multi-level comprehensive evaluation of physical education teaching quality and improvement

Application and Analysis of Physical Education Teaching Methods in Basketball Specialized Classes

Physical education teaching methods run through the entire teaching process and have a significant impact on the quality of physical education teaching. Appropriate teaching methods have a multiplier effect on teaching quality. Scholars such as Jin Qinchang, Wu Zhichao, and Mao Zhenming have provided different definitions of "physical education teaching methods", but the core is centered around teachers' teaching and students' learning. The article summarizes the teaching methods used in the basketball elective class of Hunan Agricultural University for one semester, including language method, complete method and decomposition method, game method and competition method, hierarchical teaching method, and self-learning method, in order to explore suitable teaching methods for basketball classrooms.

Simulation of optical image enhancement algorithm based on reinforcement learning in evaluating the quality of physical education teaching for college students

Simulation of optical image enhancement algorithm based on reinforcement learning in evaluating the quality of physical education teaching for college students

Enhanced CoCoSo method for picture 2-tuple linguistic MAGDM and applications to classroom teaching quality evaluation of college physical education

In order to better improve the physical health status of Chinese college students, enrich the knowledge content of university physical education courses, enhance their physical exercise ability, cultivate lifelong physical education awareness and conscious exercise habits, and promote the healthy development of quality education in China, combined with the current reality of university physical education teaching, a quality assurance system for university physical education teaching in China is constructed to promote the continuous improvement of the quality of university physical education teaching. The guarantee system for college physical education teaching consists of three subsystems: the design and quality management system for college physical education teaching objectives, the evaluation system for college physical education teaching quality, and the feedback system for college physical education teaching quality information. The quality evaluation of college physical education classroom teaching is a multiple attribute group decision making (MAGDM) issue. In this paper, depending on the CoCoSo (Combined Compromise Solution) method and picture 2-tuple linguistic sets (P2TLSs), a novel MAGDM issue based on the picture 2-tuple linguistic CoCoSo (P2TL-CoCoSo) method is designed to tackle it. In addition, the weights of criteria are decided objectively by utilizing entropy method. Eventually, a related application for quality evaluation of college physical education classroom teaching and comparative analysis is given to demonstrate the superiority of the designed method. The results illustrate that the designed method is useful for quality evaluation of college physical education classroom teaching.

Quality assessment of intelligent physical education teaching in universities based on multivariate statistical analysis and regression analysis

Abstract In this paper, we first propose the basic technical support and service and management of university intelligent physical education composition, and on this basis, we propose a teaching quality assessment model based on multivariate statistical analysis and regression analysis. Among them, multivariate statistical analysis is used to calculate the factor loadings A of physical education teaching, and multiple linear regression is used to establish the teaching quality assessment model and test it. Finally, an empirical analysis of teaching quality assessment was conducted with smart physical education as an example. The results show that the comprehensive assessment value of smart physical education teaching quality based on a multiple linear regression model is very close to the actual value, and the error value ranges from [0.003 to 0.027]. The error values are smaller than [0.0135~0.0921] of the ANN model and [0.0635~0.1033] of the neural network model. The research in this paper can provide scientific quality assessment methods and theoretical support for smart physical education in colleges and universities to promote the development of smart physical education and improve teaching quality in colleges and universities.

Design and Implementation of Physical Education Teaching Management System Based on Multi-agent Model

The traditional physical education (PE) teaching management system is usually controlled and managed by a single center, which cannot meet the diversified and personalized teaching needs. Therefore, the research of PE teaching management system based on multi-agent mode has become an important direction. The purpose of this paper was to discuss how to improve the effect and quality of PE teaching and enhance students' learning enthusiasm and initiative through the design of multi-agent mode PE teaching management system. The PE teaching management system based on multi-agent mode provides more flexible and personalized teaching management services by utilizing the cooperation and interaction between agents, realizes the information exchange between teachers and students, provides real-time teaching feedback and evaluation, and promotes the sharing and collaboration of teaching resources. Therefore, the operating efficiency of the conventional physical education management system was the highest at 75% and the lowest at 67%, according to the experimental findings of this paper. The multi-agent model-based management system for physical education had a 95 percent maximum operating efficiency and an 88% minimum operational efficiency. The minimum difference between the two was 21%, and the maximum difference was 20%. It can be seen that the operation efficiency of the physical education management system based on the multi-agent model is more advantageous and more stable.

A decision-making framework for classroom teaching quality evaluation of college badminton training with 2-tuple linguistic neutrosophic numbers

How to guarantee the quality of college physical education (PE) teaching and reverse the declining trend of college students’ physique year by year has become a hot topic for the research of higher education and school PE workers. The quality assurance of higher education in China should give full play to the role of colleges in teaching quality assurance activities, constantly improve the level of school running and improve the efficiency of school running. Because colleges themselves are the main body of higher education and teaching activities, they have the most power, qualification and responsibility to explain the quality of higher education. The classroom teaching quality (CTQ) evaluation of college badminton training is regarded as multi-attribute decision-making (MADM). The 2-tuple linguistic neutrosophic sets (2TLNSs) which the truth-membership, indeterminacy-membership and the falsity-membership are assessed by using the 2-tuple linguistic term sets is an appropriate form to express the indeterminate decision-making information in the classroom teaching quality (CTQ) evaluation of college badminton training. In this paper, the Hamy mean (HM) and the power average (PA) are connected with 2-tuple linguistic neutrosophic sets (2TLNSs) to propose the 2-tuple linguistic neutrosophic numbers weighted power HM (2TLNWPHM) operator. Then, use the 2TLNWPHM operator to handle MADM with 2TLNS. Finally, taking the CTQ evaluation of college badminton training as an example, the proposed method is explained. The main contributions of this study are summarized: the establishment of the 2TLNWPHM operator; (2) The 2TLNWPHM operator was developed to handle MADM with 2TLNS; (3) Through the empirical application of the CTQ evaluation of badminton training in universities, the proposed method is validated; (4) Some comparative studies have shown the rationality of the 2TLNWPHM operator.

An improved GRA algorithm for teaching quality evaluation of college physical education based on the probabilistic simplified neutrosophic sets

With the emergence of various new teaching concepts and teaching models in colleges and universities, the original evaluation system can no longer fully meet the requirements of the current development of physical education curriculum teaching in colleges and universities. Thus, reducing the judgment and guidance of evaluation on physical education curriculum teaching shall result in the development of physical education curriculum teaching quality evaluation lagging behind the development of teaching and being in a passive position. Therefore, it is particularly important to establish a new evaluation standard system for the teaching quality of physical education courses. The teaching quality evaluation of college physical education (PE) is viewed as multiple attribute decision-making (MADM). In this paper, an enhanced probabilistic simplified neutrosophic grey relational analysis (PSN-GRA) method is designed for MADM. Then, in the environment of probabilistic simplified neutrophil set (PSNSs), the PSN-GRA method and CRITIC method are combined to rank the alternative schemes, and a numerical example of college physical education teaching quality evaluation proves the practicability of the new method and compares it with other methods. The results show that this method is simple, effective and simple in calculation.