Teaching Evaluation and Diagnosis Based on BP Neural Network
Zhijun Hu, Hongbin Wang · 2009
Developing teaching evaluation and diagnosis is the important measure to guarantee and improve the quality of teaching .This paper describes designed ideas and realized methods of evaluate and diagnose teaching effect of teacher, based on BP neural network, finally does the MATLAB simulated experiments. The experiment indicates that the method avoids the subjective factors and uncertainties of the traditional evaluation process,to ensure impartiality and accuracy of the evaluation result. It supplies with a new method to do a better job for teaching evaluation and diagnosis.