DocumentCode :
2139918
Title :
Teaching Evaluation and Diagnosis Based on BP Neural Network
Author :
Hu, Zhi-Jun ; Wang, Hong-Bin
Author_Institution :
Dept. of Comput. Sci., Xinzhou Teachers Univ., Xinzhou, China
fYear :
2009
fDate :
20-22 Sept. 2009
Firstpage :
1
Lastpage :
3
Abstract :
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.
Keywords :
backpropagation; mathematics computing; neural nets; teaching; BP neural network; MATLAB; teaching diagnosis; teaching evaluationa; Artificial neural networks; Computational modeling; Computer networks; Computer simulation; Education; Educational institutions; Electronic mail; Management training; Neural networks; Quality management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
Type :
conf
DOI :
10.1109/ICMSS.2009.5303513
Filename :
5303513
Link To Document :
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