Quality Assessment of Physical Education Teaching in Colleges and Universities Based on Joint Neural Network

In order to improve the accuracy of physical education teaching quality evaluation in colleges and universities, a new JNE teaching quality evaluation model of physical education is proposed in colleges and universities. Firstly, a set of multi-index evaluation system of college physical education teaching quality based on analytic hierarchy process is constructed from the four dimensions of teaching content, teaching method, teaching attitude, and teaching effect. The score data are used as the input vector of joint neural network (JEN), and the quality level of college physical education (excellent, good, average, and poor) is used as the output vector of JNE, and a teaching quality evaluation model of college physical education courses based on the JNE model is established. Compared with PSO-JEN and JEN, it is observed that JNE has higher classification accuracy, specificity, and sensitivity for teaching quality evaluation of physical education courses in colleges and universities.