How to obtain knowledge evidences in a student model based on Bayesian Network
item.page.type
Artigo de evento
Date
2010
item.page.ispartof
Proceedings of the 5th Iberian Conference on Information Systems and Technologies, CISTI 2010
item.page.citationsscopus
3
Authors
Lima S.F.
Stump S.M.D.
Stump S.M.D.
publication.page.advisor
Journal Title
Journal ISSN
Volume Title
publication.page.board
publication.page.program
Abstract
A considerably proportion of the adaptativity of an Intelligent Tutoring System is due to the Student Model. Bayesian Networks has been used in student modeling in order to provide adaptativity from the tutor system to the student knowledge. However, a Bayesian Network requires evidences in order to make inferences. This article presents a proposal to measure and update knowledge evidences in a Bayesian Network which aims at sequencing the course content in a way adapted to the student knowledge.
Description
Keywords
item.page.scopussubject
Course contents , Intelligent tutoring system , Intelligent tutors , Student knowledge , Student model , Student Modeling , Student Models