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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Zhifei Zhang

Papers

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