EICA - estruturas internas cognitivas aprendentes : um modelo neuro-computacional aplicado à instância psíquica do sistema pessoa em espaços dimensionais

• Ano de defesa: 2017
• Autor(a) principal: Marques, Carla Verônica Machado
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Rio de Janeiro; Brasil; Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia; Programa de Pós-Graduação em Engenharia de Sistemas e Computação; UFRJ
• Palavras-chave em Português: Engenharia de Sistemas e Computação; Estruturas internas cognitivas aprendentes; Modelo neuro-computacional; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://hdl.handle.net/11422/8671

The origin of this thesis was the public finding of the suboptimal condition of education in Brazil during the last decade, where we noticed that there is still no integration of schools with advances in computation and cognitive neuroscience. As a proposal to change this scenario, we present here an engineering model of learning and teaching of continuous and progressive understanding of the brain-mind unit that enables the implementation of a customized education. By observing in the metaprocesses of universal languages in the form of EICA, it is possible draw strategies to reach new levels of quality of the “Person“. In this thesis we investigate the efficiency of the theoretical model EICA, measuring its applicability as an evaluation methodology. The method used to prove the theoretical model EICA is the development of a game (gamification) capable of obtaining data from the users in real time and the subsequent analysis of this data, in order to prove the existence of EICA as a universal cognitive model.