A proposal for student modeling based on ontologies and diagnosis rules

被引：38

作者：

Clemente, Julia ^{[2
]}

Ramirez, Jaime ^{[1
]}

de Antonio, Angelica ^{[1
]}

机构：

[1] Univ Politecn Madrid, Fac Informat, E-28040 Madrid, Spain

[2] Univ Alcala, Dept Automat, Alcala De Henares, Spain

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2011年 / 38卷 / 07期

关键词：

Intelligent Tutoring System; Student model; Pedagogic diagnosis; Virtual environments for training;

D O I：

10.1016/j.eswa.2010.12.146

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The advances in the educational field and the high complexity of student modeling have provoked it to be one of the aspects more investigated in Intelligent Tutoring Systems (ITSs). The Student Models (SMs) should not only represent the student's knowledge, but rather they should reflect, as faithfully as possible, the student's reasoning process. To facilitate this goal, in this article a new approach to student modeling is proposed that benefits from the advantages of Ontological Engineering, advancing in the pursue of a more granular and complete knowledge representation. It's focused, mainly, on the SM cognitive diagnosis process, and we present a method providing a rich diagnosis about the student's knowledge state - especially, about the state of learning objectives reached or not. The main goal is to achieve SMs with a good adaptability to the student's features and a high flexibility for its integration in varied ITSs. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：8066 / 8078

页数：13

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