Annual review of computer science vol. 1, 1986
KADS: a modelling approach to knowledge engineering
Knowledge Acquisition - Special issue on the KADS approach to knowledge engineering
Detecting and Reacting to the Learner's Motivational State
ITS '92 Proceedings of the Second International Conference on Intelligent Tutoring Systems
A tutoring and student modelling paradigm for gaming environments
SIGCSE '76 Proceedings of the ACM SIGCSE-SIGCUE technical symposium on Computer science and education
A proposal for student modeling based on ontologies and diagnosis rules
Expert Systems with Applications: An International Journal
Predictive student model supported by fuzzy-causal knowledge and inference
Expert Systems with Applications: An International Journal
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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.