Evaluation of Classroom Teaching Quality in Universities Based on Artificial Neural Network

It is of great importance to evaluate scientifically teachers’ teaching quality in the classroom. The methods of artificial neural network were applied on evaluation of classroom teaching quality. By analyzing constituent elements of teaching quality, proposed with teaching attitude, teaching method, teaching content and teaching effectiveness as input layer, quality of classroom teaching quality as output layer, establish artificial neural network model, and actual data were used for training and practice of the network. The practice showed that the model has well recognizes the precision. Finally obtains digitized the evaluation result,can be accurate, direct-viewing reflection the classroom teaching quality was the fit or unfit, thus the wide prospect of artificial neural network in the evaluation of the classroom teaching quality were presented.