Application of Random Simulation Algorithm in Physical Education Teaching Evaluation

Abstract

In the classical comprehensive evaluation theory, the information form of evaluation conclusion is usually absolute. In view of the absoluteness of judging the advantages and disadvantages of traditional physical education (PE) teaching evaluation and the inconsistency of multiple evaluation conclusions, this paper constructs an independent advantage evaluation method which highlights its own advantages, and puts forward a comprehensive evaluation mode of random simulation. In other words, by setting parameters, the traditional evaluation mode can be transformed into a random mode, and the possibility ranking conclusion of the comparison between the advantages and disadvantages of the schemes can be obtained. Because of the independence of the stochastic simulation solution method, this paper applies it to the evaluation model of PE, and constructs a new independent evaluation method to evaluate the advantages of the evaluation object by calculating the winning degree of each evaluation object. Finally, the random simulation comprehensive evaluation model was taken as the experimental group, and the traditional sports evaluation model as the control group. The results showed that each index of the experimental group was higher than that of the control group, and the comprehensive score was 0.83 higher than that of the control group. Thus, the random simulation evaluation model is an extension of the traditional evaluation model, providing a structural framework for various information forms and evaluators’ preferences, so that the evaluation process is no longer limited by single or limited data form and information structure, and can further enhance the practical application scope of comprehensive evaluation method.