Methods to Improve the Efficiency of Rural Physical Education Teaching Resources Allocation and Utilization in the Context of Artificial Intelligence

Abstract

School physical education is an important part of school education, and physical education resources are the overall measure of a school's physical education level. Rural schools are limited by environmental constraints, especially the lack of physical education resources verification. Therefore, the allocation and utilization efficiency improvement of rural physical education resources are an important element of rural physical education construction. With the mature development of artificial intelligence technology, it has great potential for application in the field of cultural education. Artificial intelligence technology has the advantages of ease of use, strong self-adaptation, and excellent generalization ability, and it is selected for data processing in this paper. Using artificial intelligence technology, the study of sports informatization to help rural sports development and rational utilization of resources can help rural sports education development, rural sports industry prosperity, rural sports talent revitalization, rural sports governance system improvement, and governance capacity enhancement. The artificial intelligence raindrop algorithm, which can automate the statistics of all relevant factors and derive results based on data fusion, was selected as the core algorithm of this paper. Therefore, this paper proposes an intelligent algorithm for allocating and improving the efficiency of rural sports teaching resources so as to improve the informatization level of the rural sports industry, promote industrial integration based on local needs, accelerate the “online urban-rural integration” in rural sports education, rural fitness guidance, and rural recreation and medical care, and rely on multiple entities. We will support the new model of sports informatization to empower rural sports teaching development by relying on the collaboration of multiple entities.