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