With the progress of physical education reform, more and more educational methods are added to physical education. The state has always attached great importance to the reform of school physical education and has promulgated and implemented a number of policies and documents to stimulate the reform of school physical education. Change the teaching method from "theoretical knowledge teaching"to "combination of theory and practice", change the teaching content from "subject standard and complicated subjects"to "comprehensive course teaching", and change "conservative and mechanical teaching"to "active and teacher-student participation". The introduction of intelligent systems and responsive software in physical education not only allows students to learn with the aid of multimedia courseware but also accesses to high-performance graphics data processing software GIMP (GNU Image Manipulation Program) and so on. This article describes the production plan of multimedia courseware under the intelligent system environment and constructs the sports teaching framework of multimedia courseware under the intelligent system desktop system. Choose the Ubuntu18.04 stable version system to obtain OpenOffice and GIMP components, as well as multimedia materials for physical education, and make physical education courseware. The experiment teaching effect evaluation is carried out in the main body composed of 50 physical education students in our college. Research shows that the use of GIMP can greatly improve the learning efficiency in the physical education of the intelligent system. Compared with Windows and other systems, the teaching system constructed in this study only retains the core components and can reflect great system permissions in teaching advantage. In terms of processing speed, the image processing time is reduced by 36% compared to Windows, and it has more types of professional materials than Microsoft. The learning time of teachers using the intelligent system professional physical education software is more than 50% shorter than that of Photoshop, 3D Max, etc., thereby improving the work efficiency of physical education teachers.
CITATION STYLE
Chen, Y., Gao, B., & Cao, H. (2022). Teaching Intelligence System Based on the Cloud Platform of the Internet of Things and Its Application in Physical Education. Wireless Communications and Mobile Computing, 2022. https://doi.org/10.1155/2022/7523529
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