NDLI: Design an applied student model for Intelligent Tutoring System

Content Provider	IEEE Xplore Digital Library
Author	Liu Li-zhen Wu Min-hua Wang Hua Liang Guo-hua
Copyright Year	2009
Description	Author affiliation: Information Engineering College, Capital Normal University, Beijing, 100048, China (Liu Li-zhen; Wu Min-hua; Wang Hua) \|\| Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia (Liang Guo-hua)
Abstract	Student model is a very important and timeconsuming process in Intelligent Tutoring System. Furthermore, for many Web based educational systems, student personality is hard to apply explicitly. To address this problem, we proposed an approach for combining fuzzy compositive evaluation with Bayesian network to design an applied student model. This article describes improvements made to the method and its application to make corresponding tutoring strategy by reasoning student action that supports useful tutoring services in a practical tutoring system. The proposed framework has been integrated within the Discrete Mathematics Tutor System. We obtain results of an experiment that shows the benefit of the integration of the way.
Starting Page	485
Ending Page	489
File Size	2015156
Page Count	5
File Format	PDF
ISBN	9781424439287
DOI	10.1109/ITIME.2009.5236371
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Educational programs Bayesian Network Educational technology Educational institutions Mathematics Student Model Bayesian methods Intelligent Tutoring System Computer networks Computer science education Problem-solving Intelligent systems Context modeling
Content Type	Text
Resource Type	Article

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