Title :
How to obtain knowledge evidences in a student model based on Bayesian Network
Author :
Lima, Samuel Fontes ; Stump, Sandra Maria Dotto
Author_Institution :
Mackenzie Presbyterian Univ., São Paulo, Brazil
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.
Keywords :
belief networks; intelligent tutoring systems; user modelling; Bayesian network; course content sequencing; intelligent tutoring system; knowledge evidence; student modeling; Adaptation model; Bayesian methods; Bills of materials; Electronic learning; Knowledge engineering; Bayesian networks; intelligent tutor system; student model;
Conference_Titel :
Information Systems and Technologies (CISTI), 2010 5th Iberian Conference on
Conference_Location :
Santiago de Compostela
Print_ISBN :
978-1-4244-7227-7