Title :
The Model of Teaching Quality Evaluation Based on BP Neural Networks and Its Application
Author :
Wang, Xuhui ; Xu, Jian
Author_Institution :
Sch. of Bus. Adm., Dongbei Univ. of Finance & Econ., Dalian
Abstract :
In this paper, the authors established an evaluation model of university teaching quality based on back-propagation neural networks. Quantified indices of teaching quality were inputs of the model, while teaching effect was output. The empirical research by MATLAB showed that this evaluation approach was suitable for the university teaching quality assessment tasks, which not only overcomes subjective factors in the process of expert assessment, but also makes full use of the large amount of data about teaching quality and receives satisfactory result of evaluation.
Keywords :
backpropagation; computer aided instruction; mathematics computing; neural nets; teaching; MATLAB; back-propagation neural network; expert assessment; university teaching quality assessment task; Artificial neural networks; Computer science; Computer science education; Educational programs; Educational technology; Electronic mail; Finance; Information processing; Mathematical model; Neural networks; BP neural networks; evaluation model; input; output; teaching quality;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.208