Artificial intelligence, as one of the important representatives of information technology development, gradually penetrates into all fields of education and teaching, and the forms of education and teaching become diversified. Teaching with the core of students’ core literacy cultivation and digital transformation as the background has produced incompatibility with the current development in terms of teaching purpose, teaching value, teaching methods, and teaching ability, which has become an obstacle to the development and reform of education and teaching. In the current era, we should do a good job of integrating information technology and education teaching, transforming traditional teaching habits, focusing on the core value of teaching, and realizing the transformation from teaching to learning in the context of digitalization. The development of artificial intelligence way education refers to the use of new technology to promote talent training, so that the traditional education and teaching methods are changed to form a new education form of intelligent learning, interactive learning, and deep learning.
BACKGROUND: Physical health is vital to the improvement of our skills and the enhancement of eye movements. The coordination of good body movement helps to establish a safe position of the body. The challenging characteristics of physical education include insufficient time allocation, inadequately trained teachers, and inadequate provision of the equipment is considered as an important factor. OBJECTIVE: In this paper, IoT-based Computational Narrowband Physical Health Framework (IoT-CNPHF) has been proposed to strengthen adequate time allocation, appropriately qualified teachers, and sustainable provision in the physical education system. METHOD: Massive extended range analysis is introduced to enhance the duration and time allotted for physical activity that helps in creating awareness about the importance of physical activities and sports in our daily life. The multimodal supervised technique is incorporated with IoT-CNPHF to improve the knowledge of physical education for the teachers and to provide suitable provision for students in the physical education system. RESULTS: The simulation analysis is performed based on accuracy, performance, and its efficiency proves the reliability of the proposed framework.
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