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Universidade Federal do Rio de Janeiro – UFRJ and National Regulatory Agency for Private Health Insurance and Plans (ANS)

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1 Papers

Computational Neuroscience - Challenges and Implications for Brazilian Education

Topics: Metrics and Performance Measurement; Standards and Interoperability; Teacher Evaluation; Classroom Management

Authors: Raimundo José Macário Costa ¹ , Luís Alfredo Vidal de Carvalho ² , Emilio Sánchez Miguel ³ , Renata Mousinho ² , Renato Cerceau ⁴ , Lizete Pontes Macário Costa ⁵ , Jorge Zavaleta ² , Laci Mary Barbosa Manhães ² and Sérgio Manuel Serra da Cruz ⁶

Affiliations: ¹ Universidade Federal Rural do Rio de Janeiro - UFRRJ, Brazil , ² Universidade Federal do Rio de Janeiro – UFRJ, Brazil , ³ Salamanca University (U.S.A.L), Spain , ⁴ Universidade Federal do Rio de Janeiro – UFRJ and National Regulatory Agency for Private Health Insurance and Plans (ANS), Brazil , ⁵ Rio de Janeiro State University (UERJ), Brazil , ⁶ Universidade Federal Rural do Rio de Janeiro - UFRRJ, Programa de Educação Tutorial (PET-SI/UFRRJ) and Programa de Pós- Graduação em Modelagem Matemática e Computacional (PPGMMC/UFRRJ), Brazil

Digital Object Identifier: 10.5220/0005481004360441

Proceedings of CSEDU 2015, ISBN: 978-989-758-107-6

Quick Abstract

Understanding the core function of the brain is one the major challenges of our times. In the areas of neuroscience and education, several new studies try to correlate the learning difficulties faced by children and youth with behavioral and social problems. This work aims to present the challenges and opportunities of computational neuroscience research, with the aim of detecting people with learning disorders. We present a line of investigation based on the key areas: neuroscience, cognitive sciences and computer science, which considers young people between nine and eighteen years of age, with or without a learning disorder. The adoption of neural networks reveals consistency in dealing with pattern recognition problems and they are shown to be effective for early detection in patients with these disorders. We argue that computational neuroscience can be used for identifying and analyzing young Brazilian people with several cognitive disorders.

Related Ontology Subjects/Areas/Topics (9)

Classroom Management	Learning/Teaching Methodologies and Assessment	Standards and Interoperability
Computer-Supported Education	Metrics and Performance Measurement	Teacher Evaluation
Information Technologies Supporting Learning	Social Context and Learning Environments	Ubiquitous Learning