Abstract

In light of the current uneven distribution of aerobics course online resources, this paper presents research on the classification method of aerobics course online teaching resources based on artificial intelligence technology, constructs the display education resource management system based on artificial intelligence technology, realizes the classification of teaching information characteristics, and constructs the classification and evaluation algorithm of aerobiology course online resources. The online teaching resource classification of aerobics course achieves its design goal. Finally, the experiment shows that the artificial intelligence-based online teaching resource classification method for aerobics course is highly practicable and fully meets the research requirements.

Highlights

  • Artificial intelligence educational resources have been significantly improved in quantity and quality with the acceleration of educational informatization in China in recent years, serving as a key to the development of educational informatization in China

  • This paper examines the current situation, existing problems, resource integration strategies, and supporting conditions for the construction of aerobics teaching resources in order to provide useful information for the development of Aerobics Education and teaching, as well as to improve teaching quality and lower education costs by establishing a modern network teaching resource system and introducing more high-quality teaching resources

  • Scientific descriptions and classifications of educational resources are extremely important. is paper investigates the classification method for aerobics educational resources for artificial intelligence, examines educational resources from six perspectives, application field, subject curriculum, applicable object, resource format, resource type, and textbook version, proposes a village-oriented educational resource model, implements unified coding, and has been successfully implemented in order to provide some guidance for the classification system of educational resources

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Summary

Introduction

Artificial intelligence educational resources have been significantly improved in quantity and quality with the acceleration of educational informatization in China in recent years, serving as a key to the development of educational informatization in China. In the context of the artificial intelligence era, focusing on the development and integration of aerobics teaching resources will assist teachers in accepting new knowledge and technology, preparing them to adapt to the new era’s curriculum development requirements in teaching practice, and meeting students’ demands, thereby improving classroom teaching efficiency, and improve teachers’ and students’ innovation and entrepreneurship abilities in the process. This paper examines the current situation, existing problems, resource integration strategies, and supporting conditions for the construction of aerobics teaching resources in order to provide useful information for the development of Aerobics Education and teaching, as well as to improve teaching quality and lower education costs by establishing a modern network teaching resource system and introducing more high-quality teaching resources. Using the Big Data era as a backdrop, we hope to gather useful data that will aid in improving the quality of aerobics instruction

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