Paper Info
Title
A proposal for student modelling based on ontologies
Abstract
The advances in the educational field and the high complexity of student modelling has provoked it to be one of the more investigated aspects in Intelligent Tutoring Systems (ITSs). The Student Models (SM) should not only represent the student's knowledge, in a wide sense, but rather they should be, insofar as it is possible, a snapshot of the student's reasoning process. In this article, a new approach to student's modelling is proposed that benefits of the Ontological Engineering advantages, so widely used at the present time, to advance in the pursue of a more granular and complete knowledge representation. The goal is to define an ontological basis for SMs characterized by a high flexibility for its integration in varied ITSs, a good adaptability to the student's features, as well as to favor a rich diagnostic process with nonmonotonic reasoning capacities, allowing the treatment of the contradictions raised during the student's reasoning and diagnosis.
Year
Venue
Keywords
2007
European Journal of Combinatorics
rich diagnostic process,student modelling,varied itss,complete knowledge representation,high flexibility,high complexity,ontological engineering advantage,reasoning process,nonmonotonic reasoning capacity,intelligent tutoring systems
DocType
Citations 
PageRank 
Conference
3
0.46
References 
Authors
4
3
Name
Order
Citations
PageRank
Angélica de Antonio116127.23
Jaime Ramírez211416.36
Julia Clemente3373.71