Title :
A Multicriteria Bayesian Intelligent Tutoring System MBITS
Author :
Yamna, Ettarres ; Mellouli, Khaled ; Wuillemin, Pierre-Henri
Author_Institution :
Lab. Larodec, Le Bardo, Tunisia
fDate :
Nov. 29 2010-Dec. 1 2010
Abstract :
An Intelligent Tutoring Systems (ITS) is concerned with the construction of intelligent softwares helping students overcoming different problems in their learning process. We present in this work a novel Multicriteria Bayesian Intelligent Tutoring System MBITS used to help students overcoming their their lack of comprehension of concepts in a course. It is based on a Bayesian Network (BN) to model a course and a multicriteria approach to evaluate different solution and information gathering actions using the same set of criteria. MBITS is an automated troubleshooter presented as an interactive and easy to use Web application.
Keywords :
Bayes methods; Internet; educational courses; intelligent tutoring systems; interactive systems; MBITS; Web application; automated troubleshooter; intelligent softwares; learning process; multicriteria Bayesian intelligent tutoring system; Bayesian Network; Intelligent Tutoring System; Multicriteria Bayesian Intelligent Tutoring System; Multicriteria Decision Aid;
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-8134-7
DOI :
10.1109/ISDA.2010.5687181