Abstract
In this paper we present an intelligent tutoring system with affective learning, which is integrated into a social network for learning mathematics. The system is designed to help students of the second grade of primary education to improve the teaching-learning process. The system evaluates cognitive and affective aspects of the student by using a neural network and a fuzzy expert system to decide the following exercise to be resolved by the student, enabling personalized learning. We evaluate and compare our tutoring system against other well-known tutoring systems.
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Cabada, R.Z., Barrón Estrada, M.L., González Hernández, F., Oramas Bustillos, R. (2014). Intelligent Tutoring System with Affective Learning for Mathematics. In: Gelbukh, A., Espinoza, F.C., Galicia-Haro, S.N. (eds) Human-Inspired Computing and Its Applications. MICAI 2014. Lecture Notes in Computer Science(), vol 8856. Springer, Cham. https://doi.org/10.1007/978-3-319-13647-9_43
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DOI: https://doi.org/10.1007/978-3-319-13647-9_43
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13646-2
Online ISBN: 978-3-319-13647-9
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