Research on the Construction of the Quality Evaluation Model System for the Teaching Reform of Physical Education Students in Colleges and Universities under the Background of Artificial Intelligence

Abstract

With the continuous progress of the times, the reform of physical education teaching in colleges and universities has to be promoted day by day. The most important task in the process of reform is how to improve the quality of physical education teaching. Only by reforming colleges and universities can we transport outstanding talents into the society. It is very important to improve the teaching quality by improving the physical education quality evaluation system. As artificial intelligence technology has been more and more widely used in different fields, various educational administration systems based on information management have been established in various colleges and universities. On the one hand, it has brought great convenience to the management of physical education in colleges and universities and improvement of the efficiency of sports education management, but on the other hand, there are many shortcomings in the process of practical application. For example, the application of the database does not fully reflect its function and convenience, and it is only used at the level of query and statistics. Therefore, a better evaluation system of physical education teaching quality has become the common expectation of all colleges and universities. This paper makes a powerful analysis of the current quality evaluation of physical education in colleges and universities and proposes a method of establishing a basic framework through expert systems, filling in details with the idea of knowledge base and fuzzy sets, and further using a three-layer B/S framework model to design universal teaching quality assessment system. When discussing the requirements, functional framework, and actual development of the teaching evaluation system, the characteristics of the traditional physical education evaluation model are deeply analyzed, and the system’s interactivity, flexibility, accuracy, and fairness are emphasized in the implementation process. Object-oriented design and analysis are carried out on the requirements of the system, and finally, black-box testing is carried out to ensure the reliability and correctness of the system logic.