College Teaching Quality Evaluation Model Based on BP Neural Network

Abstract:

The college teaching quality evaluation is a multi-factor, multi-variable fuzzy nonlinear process. This paper applied BP neural network to setup a teaching quality evaluation model according to the expert group standards, and trained the neural network model through MATLAB7.0 for learning complex knowledge and simulating capabilities. The data test validation shows that the evaluation result agreed to the actual teaching effectiveness, and has a wide range of applications in various types of teaching management.

• Periodical: Advanced Materials Research (Volumes 591-593)
• Pages: 2186-2189
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.591-593.2186
• Online since: November 2012
• Authors: Xiao Hong Zhu
• Keywords: BP Neural Network (BPNN), College Management, Evaluation Model, Teaching Quality

References

[1] Sun Xiaoling, Wang Ning, Liang Yan. Application of BP neural network model and simulation evaluation of teaching [J]. Computer simulation , 2010,27(11):314-318.

[2] Zheng Zhang, Wen-Ping Yang, etc.. MATLAB programming and the applications [M]. Beijing: China Railway Press, 2003.

[3] Wang Xuhui, Huang Feihua. Based on BP neural network model of teaching quality evaluation and application [J]. Higher Education of Engineering, 2007,5 (11): 78- 81.

[4] Zhang Defeng other. MATLAB neural network application design [M]. Beijing: Mechanical Industry Press, 2009.

[5] Mr Pang Ba, Yin Xuelian. Based on BP neural network model of the teaching quality assessment [J]. Anhui Architectural Industry College (Natural Science), 2009,17 (6): 110 -113.

[6] Yuan Ying Ying, Liu Hongmei. Teaching Quality Assessment of BP neural network model [J]. Computer and Digital Engineering, 2010,38 (7): 16- 19.