BP Neural Network-Based Evaluation on University Teachers' Teaching Quality

Because of the one-sidedness in most universities by using the single teaching evaluation mechanism to evaluate the teachers' teaching quality, this paper presents a comprehensive teaching quality evaluation system. 7 indicators under the 2 level systems were constructed. Furtherly 2-level neural network is established. The training results show that the network can fit the training data well and the effect is significant, which indicates that the teaching quality evaluation model based on neural network is reasonable and feasible.