Quality in education has been the subject of many debates, be it among managers in schools, in the media or in literature. However, the literature appears not to include methods or techniques for exploring databases to obtain classifications for this quality; nor is there a consensus as to the definition of “education quality”. To address these issues, this article proposes a methodology similar to the KDD (Knowledge Discovery in Databases) to classify Education Quality in schools comparatively, based on grades scored in school performance tests. For the purposes of this study, the test used was the Prova Brasil examination, which is part of the Basic Education Development Index (IDEB) used in Brazil. The methodology was applied to public municipal schools in the town of Araucária in the metropolitan district of Curitiba in Paraná State. Seventeen schools that offer elementary and junior high school education were included. All the grades of every student were considered from the early and later years at the schools. During the Data Mining stage, the main stage of the KDD process, three comparative methods were used for Pattern Recognition: Artificial Neural Networks, Support Vector Machines and Genetic Algorithms. These methods supplied satisfactory results in the classification of schools represented by way of a “Quality Label”, with Artificial Neural Networks having the best performance for the problem in question. With this quality label, educational managers can decide on which measures to adopt at all the schools to help them achieve their goals.

A.R.T. GÓES 3, Programa de Pós-Graduação em Métodos Numéricos em Engenharia (UFPR) e Escola Municipal Planalto dos Pinheiros (EMPP), R. Manoel Ribas, n. 3561 -Jardim Planalto, 83708-350, Araucária, PR, Brasil.Resumo. Este trabalho propõe a utilização de técnicas de Pesquisa Operacional para determinar agrupamentos de clientes (setores de atendimento) de uma concessionária de energia elétrica, com o objetivo de diminuir o tempo de execução dos serviços solicitados pelos clientes, através de uma melhor distribuição de tarefas entre as equipes disponíveis. O trabalho foi aplicado em uma das Agências da COPEL em Curitiba. Para obtenção dos resultados foram utilizados o algoritmo das p-medianas capacitado e algoritmos genéticos. Os vários testes realizados mostraram que os modelos matemáticos aplicados resolvem melhor o problema do que o método manual atualmente utilizado pela empresa.

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Este artigo analisa indícios do Desenho Universal para Aprendizagem na perspectiva da Educação Inclusiva relacionado ao ensino dos conceitos de Geometria. Trata-se de pesquisa qualitativa, do tipo revisão bibliográfica, a partir de busca nas bases SciELO, Biblioteca Digital Brasileira de Teses e Dissertações e Catálogo de Teses e Dissertações da CAPES. Foram selecionadas cinco pesquisas, cujos resultados mostram que para a inclusão não existe um método ou uma prática que atenda aos estudantes com deficiências, mas adaptações para que alcancem aprendizagem. A investigação aponta para a necessidade de maior adesão do DUA para o processo educativo de maneira geral, destacando suas contribuições nas atividades e planejamento no ensino da Matemática para todos os estudantes.

ABSTRACT. In this paper, we propose a methodology to classify Power Quality (PQ) in distribution systems based on voltage sags. The methodology uses the KDD process (Knowledge Discovery in Databases) in order to establish a quality level to be printed in labels. The methodology was applied to feeders on a substation located in Curitiba, Paraná, Brazil, considering attributes such as sag length (remnant voltage), duration and frequency (number of occurrences on a given period of time). On the Data Mining Stage (the main stage on KDD Process), three different techniques were used, in a comparative way, for pattern recognition, in order to achieve the quality classification for the feeders: Artificial Neural Networks (ANN); Support Vector Machines (SVM) and Genetic Algorithms (GA). By printing a label with quality level information, utilities companies (power concessionaires) can get better organized for mitigation procedures by establishing clear targets. Moreover, the same way costumers already receive information regarding PQ based on interruptions, they will also be able to receive information based on voltage sags.