Ganglin Luo’s research while affiliated with New York City Department of Education and other places

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.