DocumentCode :
3194816
Title :
Learner´s state analysis model using rough set theory in e-learning
Author :
Yu, Pu-yong ; Sang, Sheng-ju ; Qiao, Sai
Author_Institution :
Dept. of Inf. Sci. & Technol., TaiShan Univ., Taian, China
Volume :
1
fYear :
2012
fDate :
3-5 Aug. 2012
Firstpage :
121
Lastpage :
124
Abstract :
Paper proposes an approach of e-learning system for mining the learner´s state. The learner´s state means the degree of enthusiasm of the students. E-learning system must not only have complete knowledge Structure and should also be intelligent to analyze the state of the learner to facilitate guide and motivate. Rough set theory is a powerful tool for extracting rules. Based on time parameters, this paper proposes the rules mining process and methods of learner´s state using rough set theory.
Keywords :
computer aided instruction; data mining; rough set theory; e-Iearning system; intelligent system; knowledge structure; learner state analysis model; learner state mining; rough set theory; rule extraction; rule mining process; time parameters; Least squares approximation; Set theory; Vectors; Discretization; data mining; e-learning; rough set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology in Medicine and Education (ITME), 2012 International Symposium on
Conference_Location :
Hokodate, Hokkaido
Print_ISBN :
978-1-4673-2109-9
Type :
conf
DOI :
10.1109/ITiME.2012.6291262
Filename :
6291262
Link To Document :
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