Referenced Items are not available for this document.
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.
Published in:
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
(Volume:1
)
Date of Conference: 7-8 March 2009
- Page(s):
- 916 - 919
- Print ISBN:
- 978-1-4244-3581-4
- INSPEC Accession Number:
- 10686297
- Conference Location :
- Wuhan, Hubei
- Digital Object Identifier :
- 10.1109/ETCS.2009.208
- Product Type:
- Conference Publications
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