DocumentCode :
235031
Title :
Analysis and Modeling of Learning Behaviors on Intelligent Tutoring Website
Author :
Peng Sun ; Ziyan Wu ; Yunpeng Zhang ; Yang Yang
Author_Institution :
Coll. of Comput. Sci., Northwestern Polytech. Univ., Xi´an, China
fYear :
2014
fDate :
15-16 Nov. 2014
Firstpage :
729
Lastpage :
731
Abstract :
This paper presents a classify model of learning behavior on an intelligent tutoring website which provides a describing method of learning behavior. MFR Model creates a conceptual model and a analysis model according to students´ learning behavior on the website. By using MFR model, influences of participation and learning effects can be judged by learning behavior which can not only strengthen the ability of interaction but also improve teaching quality and efficiency by providing personalized teaching method on website.
Keywords :
Web sites; intelligent tutoring systems; teaching; MFR model; intelligent tutoring Web site; learning behaviors analysis; learning behaviors modeling; personalized teaching method; teaching quality; Analytical models; Computational intelligence; Computational modeling; Educational institutions; Security; Timing; MFR Model?Modeling of Learning Behaviors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4799-7433-7
Type :
conf
DOI :
10.1109/CIS.2014.170
Filename :
7016994
Link To Document :
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