A proposal for student modeling based on ontologies and diagnosis rules

Authors:
Julia Clemente;Jaime Ramírez;Angélica de Antonio
Affiliations:
Departamento de Automática, Universidad de Alcalá, Campus Universitario, Alcalá de Henares, Spain;Facultad de Informática, Universidad Politécnica de Madrid, Spain;Facultad de Informática, Universidad Politécnica de Madrid, Spain
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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Abstract

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.