DocumentCode :
2306373
Title :
Teaching Quality Evaluation Approach Based on SVM
Author :
Xue, Yao-feng ; Sun, Hua-li ; Wu, Yong-he ; Cao, Gui-tao ; Zhu, Zhi-Ting
Author_Institution :
Distance Educ. Coll., East China Normal Univ., Shanghai
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
150
Lastpage :
153
Abstract :
This paper presents a novel evaluation approach of the teaching quality based on support vector machines (SVMs). Firstly, the evaluation index selection and the teaching quality levels are provided. Secondly, the teaching quality evaluation approach including the four evaluation indexes and three ranks based on one-against-one mode of SVM is proposed. Finally, simulation results are presented to demonstrate the feasibility of the evaluation approach.
Keywords :
educational technology; support vector machines; teaching; SVM; evaluation index selection; evaluation indexes; support vector machines; teaching quality evaluation approach; teaching quality levels; Distance learning; Education; Educational institutions; Face detection; Proteins; Quality management; Software engineering; Support vector machine classification; Support vector machines; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-3616-3
Electronic_ISBN :
978-1-4244-2511-2
Type :
conf
DOI :
10.1109/ITME.2008.4743841
Filename :
4743841
Link To Document :
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