Exploration on the Operation Status and Optimization Strategy of Networked Teaching of Physical Education Curriculum Based on AI Algorithm

Exploration on the Operation Status and Optimization Strategy of Networked Teaching of Physical Education Curriculum Based on AI Algorithm

Yujia Wang
DOI: 10.4018/IJITSA.316892
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Abstract

Artificial Intelligence (AI) and networked teaching have made great progress in recent years, especially the application of AI algorithms in teaching, which has been relatively mature. The online teaching of physical education (PE) courses is an important practice of networked teaching, but many colleges and universities ignore the importance of AI when carrying out such teaching work. Many colleges and universities have not played a good role in AI in teaching, which leads to inefficient PE teaching and low learning enthusiasm of students.
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1. Introduction

Due to the influence of artificial intelligence and networked teaching, artificial intelligence algorithms have emerged in the field of teaching. Physical education courses are the basic courses to ensure the healthy development of students' physical fitness, and are also an important course to promote students' all-round development. Network teaching of PE course is one of the practical work of network teaching. Many schools do not understand AI enough when carrying out such teaching work, and do not play the role of AI well in teaching, which result in low efficiency of PE teaching and low interest of students. The application of AI algorithms to the networked teaching of PE courses is an attempt and an innovation.

With the support of AI and computer multimedia technology, the research work on innovative PE teaching has emerged in endlessly. YanRu used AI to analyze various data in PE teaching. Practice showed that this method had a certain practical effect (Liu, 2021). Opstoel, studied PE teaching for school-age children and adolescents (6-18 years old) on the theme of quality development and skills learning, which provided effective guidance for the next development of PE teaching (Opstoel, 2020). Jones discussed who is the best provider of elementary PE teaching. The research found that among the head teachers, coaches and professional teachers, coaches are the most popular (Jones, 2017). Whittle analyzed teachers' perceptions of students' academic performance in the teaching of PE courses. In the end, it was found that many teachers believe that enthusiasm for learning, teaching content, and physical practice activities are key factors affecting students' academic performance (Whittle, 2018). Ju, Yang added multimedia teaching to PE teaching. Surveys showed that most students reported that multimedia teaching was significantly more effective than traditional teaching (Yang, 2017). Armour analyzed the importance of teachers' sustainable professional development in PE curriculum, and then put forward specific strategies for the frequently occurring problems (Armour, 2017). Lee studied the role of instant messaging tools in PE courses, and finally found that communication tools can improve the teaching effect (Lee, 2020). These research work on PE teaching still has certain reference value, but there are not many that involve AI algorithms.

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