Construction of a Simulation Evaluation System for Physical Education and Analysis of Data Processing Methods

In the era of big data, the rapid advancements in information technology have made the excavation and analysis of data resources crucial for various industries. Within this context, physical education (PE) plays a pivotal role in fostering students’ physical fitness and resilient willpower. Establishing an effective evaluation system and enhancing data analysis techniques hold significant importance in elevating teaching quality and fostering the holistic development of students. This article introduces a PE evaluation framework that leverages big data analysis. By developing a PE simulation evaluation system, it enables the comprehensive collection, purification, interpretation, and feedback of sports-related data. Utilizing visualization technology, the analysis outcomes are presented in a user-friendly manner, thereby aiding teachers in making informed teaching decisions and bolstering the optimization of sports teaching practices in universities. Experimental findings reveal that this system can significantly enhance the quality of PE instruction, assist students in gaining a deeper understanding of their PE learning progress, and spark their interest and motivation in learning. Additionally, it provides teachers with an expanded arsenal of teaching resources and tools, promoting personalized teaching and boosting teaching efficacy.