DocumentCode :
2241844
Title :
A Tutoring Tool Based on Bayesian Approach
Author :
Colace, Francesco ; De Santo, Massimo
Author_Institution :
DIIIE, Universita degli Studi di Salerno, Fisciano
fYear :
2006
fDate :
5-7 July 2006
Firstpage :
109
Lastpage :
113
Abstract :
In this paper we introduce a tutoring approach for e-learning formative process. This approach is strictly related to the assessment phase. Assessment in the context of education is the process of characterizing what a student knows. The reasons to perform evaluation are quite varied, ranging from a need to informally understand student learning progress in a course to a need to characterize student expertise in a subject. Finding an appropriate assessment tool is a central challenge in designing a tutoring approach. In this paper we propose a method based on the use of ontologies and their representation through a Bayesian networks. The aim of our approach is the generation of adapted questionnaires in order to test the student´s knowledge of every domain´s subject. Analyzing the results of the evaluation an intelligent tutoring system can help students offering an effective support to learning process and adapting their learning paths
Keywords :
belief networks; intelligent tutoring systems; ontologies (artificial intelligence); Bayesian networks; e-learning; education; intelligent tutoring system; knowledge representation; learning assessment; ontologies; student assessment; student learning progress; tutoring tool; Bayesian methods; Education; Electronic learning; Feedback; Intelligent systems; Internet; Ontologies; Performance evaluation; Problem-solving; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies, 2006. Sixth International Conference on
Conference_Location :
Kerkrade
Print_ISBN :
0-7695-2632-2
Type :
conf
DOI :
10.1109/ICALT.2006.1652380
Filename :
1652380
Link To Document :
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