Abstract
One of the most significant components of the teaching department is the evaluation of teaching quality. The traditional teaching quality evaluation model has the problems of low weight calculation accuracy and long evaluation time. With the development of educational informatization, modern information processing technology can be used to effectively evaluate teachers’ teaching quality. In this article, a physical education teaching quality evaluation model based on the simulated annealing algorithm is proposed. An evaluation index system is established based on the construction principles of the evaluation index system followed by the construction of a judgment matrix to calculate the weight of the evaluation index. The simulated annealing algorithm is employed to effectively optimize the weight of the evaluation index and improve the evaluation accuracy. In addition, the analytic hierarchy process (AHP) is used to test the consistency of the judgment matrix, and the weight ranking results of the evaluation indexes are obtained to complete the teaching quality evaluation of physical education. The experimental results show that the performance of the proposed model in terms of evaluation weight calculation accuracy and evaluation calculation time is higher than that of the existing models. Therefore, the proposed model can better meet the requirements of physical education teaching quality evaluation.
Highlights
IntroductionA physical education teaching quality evaluation model based on the simulated annealing algorithm is proposed
One of the most significant components of the teaching department is the evaluation of teaching quality. e traditional teaching quality evaluation model has the problems of low weight calculation accuracy and long evaluation time
It can be seen that the weight value calculation results of the proposed model are the same as the actual weight values of each evaluation index, while there is a large gap between the actual value and the weight value calculation accuracy based on the hesitation fuzzy set model and active learning support vector machine model. e maximum weight difference for the hesitation fuzzy set model is 0.45 while that for the active learning support vector machine model is 0.59. erefore, it shows that this model can accurately calculate the weight of evaluation indicators. is is because this model uses the simulated annealing algorithm to optimize the evaluation index weight, to obtain more accurate weight calculation results
Summary
A physical education teaching quality evaluation model based on the simulated annealing algorithm is proposed. The analytic hierarchy process (AHP) is used to test the consistency of the judgment matrix, and the weight ranking results of the evaluation indexes are obtained to complete the teaching quality evaluation of physical education. Erefore, the proposed model can better meet the requirements of physical education teaching quality evaluation. PE teaching evaluation cannot only encourage students to actively participate in physical exercise and timely monitor and provide feedback on students’ learning effects, physique, and health status, to achieve the goal of promoting students’ physical and mental development and realizing health. E authors in [11] proposed a quality evaluation model based on active learning SVM. Caiyun [12] proposed a quality evaluation model and used AHP to calculate the collected data and provided decision support, synchronized the data platform with basic teaching data, and realized the sharing of teaching quality data. e analytic hierarchy process was used to construct the evaluation index system to complete the evaluation of teaching quality
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
