Chenliang Deng’s research while affiliated with University of Electronic Science and Technology of China and other places

High-quality development of sports competition performance industry in the Chengdu-Chongqing region is based on the improvement of the sports event system and the strengthening of market entities, and it promotes economic and social development by extending the industrial chain and enhancing the value chain. To effectively evaluate its development effect and promote high-quality development, based on the analysis of the opportunities and challenges faced by the sports competition performance industry in the Chengdu-Chongqing region, this article uses the literature research method and survey interview method to construct a performance evaluation index system from the perspective of performance evaluation theory. It also analyzes the strategic thinking of high-quality development from three aspects: guiding ideology, main principles, and development goals, and explores the strategic path for high-quality development from five aspects: integrated development of points and surfaces, priority development between regions, conditional step-by-step development within the region, selective key development of small cities, and layered development with emphasis on different stages.

With the rapid development of the Internet of Things (IoT), cloud computing (CLO), mobile Internet (MI), big data (BD), artificial intelligence (AI), and other new generation of information technology (NGIT), school physical education (PE) began to enter the era of smart school PE (SSPE). The purpose of this study is to realize the smart governance of school PE through the NGIT and analyze the related problems of SSPE, to help people understand the structure of SSPE. This paper mainly uses literature research method, in-depth interview method, and case analysis method to carry out in-depth and systematic analysis on the basic theory, construction status, application cases, ecosystem, future challenges, and optimization path of SSPE and outlines the research panorama of SSPE. The research results show that the NGIT enables the high-quality development of school PE, but the utilization of SSPE platform and the reserve of key products are insufficient, the research on the theory and method of SSPE lags behind the practice, the construction and management system of SSPE is not in order, and the resources of SSPE are very short. The construction of SSPE has some remarkable characteristics, that is, integration, liberalization, experiential, subject-oriented, long-distance, and intelligent. SSPE system includes smart facilities, smart government, smart schools, smart teachers and students, and smart environment. The IoT, CLO, MI, BD, spatial information science and technology (SIST), and AI are the six key technologies of SSPE. This paper also discusses how to build a good ecosystem of SSPE and possible future challenges for the implementation of SSPE. Finally, the author puts forward that the construction of SSPE needs to grasp seven aspects: Straighten out the system and mechanism of SSPE, build SSPE infrastructure, accelerate the broadband process of school PE network, promote school PE resource cloud services, build intelligent school PE environment, vigorously develop mobile sports and intelligent sports, develop related industries of SSPE, and actively respond to the challenges of SSPE in the future. This study provides a new perspective and reference for the future research of school PE and provides support for the NGIT to empower the smart governance of school PE. It is suggested that we should pay more attention to the construction and research of SSPE, so as to realize the smart governance of schools PE and promote its high-quality development.

With the development of information technology, the application of a new generation of information technologies, such as big data, Internet Plus, and artificial intelligence, in the sports field is an emerging, novel trend. This paper examined the relevant research results and literature on physical education, computer science, pedagogy, management, and other disciplines, then used a self-made questionnaire to investigate the physical health status of Chinese college students. The big data were subsequently analyzed, which provided a scientific basis for the construction of an intelligent governance system for college students' physical health. Intelligent devices may be used to obtain big data resources, master the physical sports development and psychological status of college students, and push personalized sports prescriptions to solve the problems existing in college students' physical health. Research shows that there are four reasons for the continuous decline in Chinese college students' physical health levels. These are students' lack of positive exercise consciousness and healthy sports values (85.43%), a weak family sports concept and lack of physical exercise habits (62.76%), poor implementation of school sports policies (55.35%), and people's distorted sports value orientation (42.27%). Through the connecting effect of data, we can bring together the positive role of the government, school, society, family, and students so as to create an interlinked impact to promote students' physical health. The problems of insufficient platform utilization, lack of teaching resources, lagging research, and insufficient combination with big data in the intelligent governance of physical health of Chinese college students can be solved by building an intelligent governance system of physical health. Such a system would be composed of school infrastructure, data resources and technology processing, and intelligent service applications. Among these, school infrastructure refers to the material foundation and technical support. The material foundation includes perceptions, storage, computing, networks, and other equipment, and the technical support includes cloud computing, mobile Internet, the Internet of Things, artificial intelligence, and deep learning. Data resources refer to smart data, such as stadium data, physical health management data, and students' sports behavior data, which are mined from data resources such as students' physical development, physical health, and sports through big data technology and intelligent wearable devices. Intelligent managers provide efficient, intelligent, accurate, and personalized intelligent sports services for college students through data resource value mining, venue space-time optimization, health knowledge discovery, sports prescription pushes, etc. Finally, we put forward the development strategy for further deepening and improving the big data-driven intelligent governance system for college students' physical health. The intelligent governance system of physical health driven by big data and its development strategy can not only accurately guide and improve the physical health level of college students but also realize integrated teaching inside and outside physical education classes.

Objective. As an important content of the modernization of college physical education, the intelligent physical education in colleges and universities is a main form of the progress and development of college physical education. The authors studied the influencing factors, design ideas, and model choices of the construction of smart sports in colleges and universities, aiming at promoting the reform, innovation, and information management of college sports. Methods. The related problems of the construction of intelligent sports in colleges and universities were studied by the methods of literature and logical analysis. Results. Smart sports in colleges and universities is a new type of college sports based on information technology. At present, the construction of smart sports in colleges and universities is still in its initial stage, and there are many problems. The construction of smart sports in colleges and universities not only highlights the charm of college sports and expands and enriches the connotations of college sports but also shapes the brand image of college sports with health. The influencing factors of the development of smart sports in colleges and universities mainly include macro development environment, decision-makers’ behavior, and government support. In the process of the construction of smart sports in colleges and universities, the overall planning and design should follow certain overall ideas and specific ideas, and new development models of smart growth, demand, integrated governance, and integrated development can be chosen. Conclusion. As a refined management method of college sports, smart sports in colleges and universities is of great significance to innovate and deepen the reform of college sports. We must always pay attention to the development dynamics of relevant factors and understand the development trend of smart sports in colleges and the change of influencing factors, so as to seize the opportunity, timely adjust and change the development model of smart sports in colleges and universities, accurately improve the physical health of college students, and promote the intelligent development of college sports.

Objective This study aimed to analyze the influence of cheerleading on female college students’ physical self-esteem and mental health. Materials and Methods In total, 63 female college students from the University of Electronic Science and Technology of China were trained in cheerleading for 16 weeks. The scores of each sub-field of physical self-esteem and psychological symptoms were analyzed by using Physical Self-Perception Profile (PSPP) and Symptom Checklist 90 (SCL-90), respectively, at 0 and 16 weeks of the experiment. Results After 16 weeks of cheerleading exercise, female college students had significant differences in physical attractiveness (T = 4.18), physical quality (T = 4.39), and physical self-worth (T = 3.35) before and after the experiment (P < 0.01). There were significant differences in physical condition (T = 3.87) and athletic ability (t = 2.88) before and after the experiment (P < 0.05). Somatization (T = 6.485), obsessive-compulsive symptoms (T = 11.716), interpersonal sensitivity (T = 10.077), depression (T = 8.403), anxiety (T = 10.767), hostility (T = 10.866), terror (T = 9.260), paranoia (T = 10.414), psychosis (T = 9.610), sleep and eating disorders (T = 9.323), total symptom index (T = 13.245), and mean score of positive symptoms (T = 12.237) were significantly different (P < 0.01). Conclusion Cheerleading can significantly improve the level of female college students’ physical self-esteem, especially the self-esteem level of physical attractiveness, physical quality, and physical self-worth. They also experienced significant improvement in their psychological disorders, especially somatization, depression, and sleep and eating disorders, which effectively improved their overall mental health.

By the methods of questionnaire research, mathematical statistics, and comparative analysis, this paper takes undergraduate gymnastics teaching class of Chengdu Sport University as the experimental objects and uses multimedia network technology to carry out the experimental teaching research. These results show that the defects of the traditional gymnastics teaching method can be made up through the usage of multimedia network technology in the gymnastics teaching process. Besides, this application can help students to handle the basic gymnastics technology not only easily but also quickly and improve their ability to correct errors, and thus improve the teaching effect and quality. When using this teaching method, teachers should accurately grasp the timing and frequency of network use and correctly solve the safety problem of students without affecting the teaching progress. It is suggested to popularize multimedia network techniques in gymnastics teaching.

This research takes the training, competition, management and talent database of college sports teams as the entry point, and the cross theory of computer, sports and management as the basis, aiming to build the intelligent service management platform of college sports teams. In order to achieve this goal, this study combined with the survey results and big data analysis, carried out a detailed program design for the training, competition and management of college sports teams. Then, combined with the data collected by wearable devices, an intelligent service management platform for college sports teams is designed and built. The platform is used to help sports teams to carry out competition, training and management in a more convenient, efficient and scientific way, provide data support for scientific decision-making, and provide integrated information resources, interactive information network and personalized information services for scientific training, competition and management of college sports teams. Solve the current cumbersome offline process and work mode of college sports teams, collect all data online, improve the overall control and data accumulation, improve the quality of reserve of college sports teams, and consolidate the foundation of sports reserve talents.

Based on the analysis of the status quo of the development of sports industry, this paper studies the development opportunities and structural changes of sports industry under the background of new information technology. Objective to explore the development opportunities and structural transformation of sports industry under the background of new information technology, broaden the research field of sports industry, and provide references for the development planning or policy formulation of sports industry. According to this study, the current development status of sports industry is not optimistic, which is mainly reflected in the weak willingness of sports consumption, the shortage of sports venues and facilities, the lack of talents in sports industry, and the lack of in-depth integration with new information technology. Under the background of new information technology, the development opportunities of sports industry are mainly reflected in three aspects, that is, new information technology promotes sports industry to seize opportunities and expand markets, innovate the operation mode and operation mode of sports industry, and change the service platform and service system of sports industry. The structural transformation of the development of sports industry is reflected in the new competition system, new technology system, new consumption structure and new business trend. In the context of new information technology, it is necessary to analyze the opportunities and challenges faced by the sports industry more deeply, put forward more specific operational development countermeasures, and build a new sports industry development ecosystem and business model, in order to promote its sound development.

The construction of college physical education network teaching resources is based on teaching needs, guided by curriculum innovation, aimed at integrated teaching, and follows relevant national policies to realize the development and sharing of resources. By using the methods of literature, questionnaire, data analysis and action research, this paper studies the related problems, expounds the concept, value, significance and basic structure of the network teaching resource database of physical education in colleges and universities, and studies its construction and application status. On the basis of learning from the good practices of other schools and other disciplines, and taking our school as an example, we have established a physical education network teaching resources database with strong pertinence and practicability, namely AI sports. It basically covers the main courses of physical education and can meet the teaching needs of teachers and students. It not only enriches the means of physical education teaching, but also realizes the integration of physical education teaching and plays an active role in physical education teaching.

The traditional sports industry structure has undergone radical changes under the background of big data. Big data with the top technology level provides numerous sports consumers with more personalized, customized, precise and other services that the traditional sports industry cannot imagine. Big data under the background of development of sports industry should speed up the industrialization of sports work practice, aim at sports market positioning, execution concept updating and solid talent pool, take the initiative to improve sports personalized content customization platform, software and information service as the core to build sports industry chain, industry focus on the core elements to optimize the perfect sports industry development environment, the value of using big data to grasp the sports industry development opportunities.