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Title: An Artificial Intelligence Approach to Dyscalculia
Authors: Ferraz, Filipa
Vicente, Henrique
Costa, António
Neves, José
Editors: Kim, Kuinam J.
Wattanapongsakorn, Naruemon
Joukov, Nikolai
Keywords: Dyscalculia
Knowledge Representation and Reasoning
Logic Programming
Case-Based Reasoning
Similarity Analysis
Issue Date: 2016
Publisher: Springer Singapore
Citation: Ferraz, F., Vicente, H., Costa, A. & Neves, J. An Artificial Intelligence Approach to Dyscalculia. In K. J. Kim, N. Wattanapongsakorn & N. Joukov Eds., Mobile and Wireless Technologies 2016, Lecture Notes in Electrical Engineering, Vol. 391, pp. 205–214, Springer Singapore, Singapore, 2016.
Abstract: Dyscalculia stands for a brain-based condition that makes it hard to make sense of numbers and mathematical concepts. Some adolescents with dyscalculia cannot grasp basic number concepts. They work hard to learn and memorize basic number facts. They may know what to do in mathematical classes but do not understand why they are doing it. In other words, they miss the logic behind it. However, it may be worked out in order to decrease its degree of severity. For example, disMAT, an app developed for android may help children to apply mathematical concepts, without much effort, that is turning in itself, a promising tool to dyscalculia treatment. Thus, this work focuses on the development of an Intelligent System to estimate children evidences of dyscalculia, based on data obtained on-the-fly with disMAT. The computational framework is built on top of a Logic Programming framework to Knowledge Representation and Reasoning, complemented with a Case-Based problem solving approach to computing, that allows for the handling of incomplete, unknown, or even contradictory information.
ISBN: 978-981-10-1408-6
ISSN: 1876-1100
Type: bookPart
Appears in Collections:QUI - Publicações - Capítulos de Livros

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