Intelligent Tutoring System for Mathematics using an Evolutionary Student Model

S.A. Rojas, J. Ramírez, and O. Romero (Colombia)


Intelligent tutoring systems, student modeling.


Intelligent Tutoring System usually identifies the cognitive structures of its learners to classify them as acceptable, erroneous or missing, and to determine the proper action for instruction. However, with just those structures the system can not typify the student’s learning style which could be useful to customize the tuition according with his talents and preferences. In this paper we propose a tutoring system that builds a student model for discovering and classifying cognitive styles based in an evolutionary approach. The model has been applied in basic arithmetic teaching for primary school learners.

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