The traditional method only pays attention to hardware construction and ignores the data processing steps, which leads to high redundant resource occupancy rate, untimely resource sharing, and low ...

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Research on Educational Information Platform Based on Cloud Computing

College physical education system is an essential component of the national health plan. Promoting the technical and modernized construction of the physical education curriculum in colleges and universities is crucial to enhance higher education's science and performance. In this technological era, the Internet of Things (IoT) is used in physical education to train and record physical activities. In this research, the AI-based IoT system (AI-IoTS) Wearable technology is promoted for IoT-based Human–Computer Interaction for College Physical education. This AI-IoTS consist of a Cloud Platform and three layers of AI. The AI-IoTS recognizes the data required for the students. Collect the data from the cloud using an IoT platform and processes it with the help of AI. The student can train themselves using wearable technology without the help of the Physical instructor. The simulation method of the proposed framework "AI-IoTS" proved that it could collect and teach students independently. The proposed AI-based IoT System (AI-IoTS) Wearable technology for IoT-based Human–Computer Interaction for College Physical education has been validated based on the optimization parameter, which outperforms conventional methods.

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Human–Computer Interaction on IoT-Based College Physical Education

The mixed teaching mode can be used to improve students’ academic performance. In this study, an interactive teaching system of basketball action in college sports based on online to offline mixed teaching mode is developed. The system is mainly comprised of teacher function module, student function module, and system analysis module. In the teacher function module, online to offline mixed teaching mode is introduced to realize the interactive teaching of basketball action in college sports in the form of organic combination of microclass, massive open online course, and traditional classroom teaching. The student function module is mainly used to manage the information related to students learning basketball actions. The system analysis module uses the data mining model based on multiant colony clustering combination algorithm to obtain the learners’ behavior data and then designs a targeted interactive teaching course for basketball action. After testing, it was concluded that the designed system can improve the students’ mastery of basketball movement in sports and can be applied to improve student’s academic performance.

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Interactive Teaching System of Basketball Action in College Sports Based on Online to Offline Mixed Teaching Mode

The role of mobile web platforms in the development of critical, strategic and lateral thinking skills of students in distance physical education courses

Construction of personalized learning and knowledge system of chemistry specialty via the internet of things and clustering algorithm

The emergence of cloud computing, the change of education methods, and the requirements of lifelong education make the traditional teaching platform face great challenges. With the rapid development of network technology and computer technology, the speed of updating knowledge is accelerating day by day, and the way of education is gradually changing. Facing the informationization of education, our physical education teaching methods and means are still stuck in the traditional words and deeds, which obviously cannot meet the needs of the development of physical education and health curriculum. In terms of the overall development of sports, school sports is the cornerstone of the country’s sports development. This research is based on cloud computing technology, breaks the framework of the traditional sports model, establishes a personalized sports teaching system according to the basic theory of physical education, and designs and discusses the future college sports model. The construction and application of digital teaching resources of physical education courses in colleges and universities can help solve the problems such as shortage of teachers and contradiction between learning and training. The construction of digital teaching resources of physical education courses in colleges and universities based on cloud computing can save costs and improve resource utilization efficiency.

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Analysis on the Construction of Personalized Physical Education Teaching System Based on a Cloud Computing Platform

Aiming at some problems existing in the existing sports monitoring system, based on the joint action of OneNet Internet of Things (IoT) and cloud platform, an optimized adaptive fuzzy PID control algorithm is adopted to monitor and analyze sports. Finally, the accuracy of the optimization model is verified through the comparison of different models, and the algorithm is used to predict and analyze sports. The research shows that (1) as the index calculation of cloud platform shows, with the increase of iteration time, the change curve of relevant indexes can be divided into four different stages, namely, rapid fluctuation stage, slow decline stage, slow fluctuation stage, and rapid decline stage. (2) The conventional calculation method (CPID) cannot well describe the change rule of the test data in the early stage of settlement. The fuzzy adaptive calculation method (NPID) also exposes some errors in the fitting and description of the test curve in the calculation process, while the improved adaptive calculation method (GPID) can describe the change characteristics and rules of the test curve well for different stages. (3) Compared with the original model, the optimization model can better describe the first and second stages of index change, indicating the accuracy of the optimization model. And the algorithm can be used to predict and analyze the changes of indicators and sports monitoring better, and the analysis results can provide relevant guidance for sports monitoring. This optimization scheme provides basis and theoretical support for the application of OneNet IoT and cloud platform.

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A Sport Monitoring System Based on the Optimized Adaptive Fuzzy PID Control Algorithm in OneNet Internet of Things and Cloud Platform

Objective To explore the effects of different physical exercises on the physical and mental health of female college students. Methods This study focuses on the influence of sports intervention on the physical and mental health of female college students in H University. With the methods of literature review, investigation, measurement, experiment, and mathematical statistics, this paper discusses the influence of different physical exercises on the physical and mental health of female college students in H University. Results The average total score of female college students' health status is 10.25, which is between the average level of L 0.34–10.72 in some universities in China. Before and after the experiment, there were significant differences in five dimensions of self-respect, balance of personality structure, natural intimacy, belief value, and ideal transcendence among all female college students in the aerobics option group. Basketball exercises have significant effects on female college students' sense of unity of body and mind, self-structure coordination, interpersonal affinity, natural affinity, belief value, self-respect, and role adaptation. Compared with before and after taking part in table tennis exercise, the mental health level of girls has significant differences in four dimensions: self-respect, balance of personality structure, interpersonal affinity, and natural affinity. Conclusion Different physical exercises have a significant impact on female college students' physical and mental health, can improve their physical health, and have no significant impact on their social adaptability.

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Effects of Different Physical Exercises on Physical and Mental Health of Female College Students

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The Structural Relationship on Nostalgia Recognition Effect, Attachment, Resilience, and Psychological Well-Being of Dance for All Participants during the COVID-19 Pandemic

본 연구의 목적은 대학 온라인 체육실기수업을 수강하는 학생들이 지각한 교육서비스품질이 학습만족, 수강의도 및 학습전이에 미치는 영향을 규명하는 것이다. 이러한 연구의 목적을 달성하기 위하여 강원도(춘천, 원주, 강릉, 삼척)에 소재한 4년제 대학에서 교양 및 전공 온라인 체육실기수업을 수강한 경험이 있는 대학생 400명을 편의표본추출법을 이용하여 표본집단으로 선정하고 설문조사를 실시하였으며, 일부 내용이 누락되거나 불성실하게 응답된 46부를 제외한 354부의 설문지를 최종 유효표본으로 선정하여 분석하였다. 본 연구의 자료분석을 위해 최종 분석에 사용된 설문지는 PC/SPSS 26.0 ver. 프로그램을 사용하여 빈도분석, 탐색적 요인분석, 신뢰도분석, 상관관계분석, 다중회귀분석을 실시하였으며 다음과 같은 결론을 도출하였다. 첫째, 온라인 체육실기수업의 교육서비스품질은 학습만족에 유의한 영향을 미치는 것으로 나타났다. 둘째, 온라인 체육실기수업의 교육서비스품질이 수강의도에 유의한 영향을 미치는 것으로 나타났다. 셋째, 온라인 체육실기수업의 교육서비스품질이 학습전이에 유의한 영향을 미치는 것으로 나타났다. 

Hyunjoo Min

Papers

Analysis on the Construction of Personalized Physical Education Teaching System Based on a Cloud Computing Platform

A Sport Monitoring System Based on the Optimized Adaptive Fuzzy PID Control Algorithm in OneNet Internet of Things and Cloud Platform

Effects of Different Physical Exercises on Physical and Mental Health of Female College Students

The Structural Relationship on Nostalgia Recognition Effect, Attachment, Resilience, and Psychological Well-Being of Dance for All Participants during the COVID-19 Pandemic

The Effects of University Online Physical Education Class Education Service Quality on Learning Satisfaction, Course Intention, and Learning Transfer