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Title: School Dropout Screening through Artificial Neural Networks based Systems
Authors: Figueiredo, Margarida
Vicente, Lídia
Vicente, Henrique
Neves, José
Editors: Mastorakis, Nikos
Dondon, Philippe
Borne, Pierre
Keywords: Artificial Neuronal Networks
Knowledge Representation and Reasoning
Logic Programming
School Dropout
Issue Date: 2014
Publisher: INASE
Citation: Figueiredo, M., Vicente, L., Vicente, H. & Neves, J., School Dropout Screening through Artificial Neural Networks based Systems. In N. Mastorakis, P. Dondon & P. Borne Eds., Advances in Educational Technologies, Educational Technologies Series, Vol. 12, pp. 22–27, INASE, Santorini, Greece, 2014.
Abstract: School dropout is one of the major concerns of our society. Indeed, it is a complex phenomenon, resulting in economic and social losses, either to the individual, family or the community to which the person belongs. Academic difficulty and failure, poor attendance, retention, disengagement from school together with family and socio-economic reasons can lead to such occurrence. In this work Logic Programming was used for knowledge representation and reasoning, letting the modeling of the universe of discourse in terms of defective data, information and knowledge. Artificial Neural Networks were used in order to evaluate potential situations of school dropout and the degree of confidence that one has on such a happening.
ISBN: 978-1-61804-238-5
Type: bookPart
Appears in Collections:QUI - Publicações - Capítulos de Livros
CQE - Publicações - Capítulos de Livros

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