The Machine of Teaching Quality Valuation Studies an Analytical Method

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Abstract:

This text describes the research work in machine learning framework for the assessment of teaching quality , mainly focused on the analysis of data on information technology in the teaching process , and the use of artificial neural network method, the experiment , the experimental results reflect the level of teaching quality analysis . Experimental results show that the use of machine learning methods can indeed make a positive contribution to the teaching quality assessment .

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1510-1513

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February 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Yiqiu Wang. Some views on the current Undergraduate teaching quality[J]. University Teaching in China. 2008 (3).

Google Scholar

[2] Xiaobo Yu. The concept of quality of higher education : connotation and denotation[J]. Education Development and Evaluation. 2005 21(6).

Google Scholar

[3] Vapniks, V. N. Forward. Xuegong Zhang translates. Nature of statistical learning theory[M]. Tsinghua University Press, (2000).

Google Scholar

[4] Yan Yu. Wenjie Wu. Teaching quality evaluation model based on least squares support vector machine[J]. Technology Information. 2008(29).

Google Scholar

[5] Hong Zhu. Higher Education Teaching Quality Evaluation System[J][D]. Dalian University of Technology. (2004).

Google Scholar

[6] Zhihua Zhou. The collaborative training style semi-supervised learning[M]. Machine learning and its application. 2007. 259-275.

Google Scholar

[7] Jue Wang. Zhihua Zhou. Miaoying Zhou. Machine learning and its application[M]. Tsinghua University Press 2006(3).

Google Scholar