Construção de conceitos de física moderna e sobre a natureza da ciência com o suporte da hipermídia

Apresentam-se os resultados de uma pesquisa sobre a construção de conceitos de Física Moderna e sobre a natureza da Ciência com o apoio da hipermídia, que envolveu a produção e avaliação de um software educacional. A proposta didática fundamentou-se na Teoria da Aprendizagem de Ausubel, em orientações para a implementação de sistemas hipermídia educacionais e em abordagens derivadas da pesquisa em Ensino de Ciências, dentre as quais o enfoque Ciência-Tecnologia-Sociedade, ponderações quanto à importância pedagógica da História e Filosofia da Ciência e considerações sobre a inserção de Física Moderna no Ensino Médio. O programa foi avaliado por pesquisadores de Ensino de Física e licenciandos de Física e, após a incorporação de algumas sugestões realizadas, foi testado por estudantes do terceiro ano do Ensino Médio de uma escola pública. Obtiveram-se indícios de que o uso do computador foi fator de motivação dos estudantes; a diversidade de elementos de mídia auxiliou-os a fixar a atenção sobre o conteúdo e favoreceu a visualização e interpretação dos fenômenos, facilitando ainda o raciocínio; o hipertexto estruturado em conformidade com princípios ausubelianos contribuiu para a percepção da relação entre os conceitos e ajudou no desenvolvimento de subsunçores para apoiar a aprendizagem subseqüente. Constatou-se que a proposta didática avaliada favoreceu a evolução das concepções da maior parte dos estudantes quanto ao conceito de equivalência massa-energia e suas implicações; às relações entre Ciência, Tecnologia e Sociedade, incluindo aspectos ambientais e políticos; ao papel da Ética no desenvolvimento e aplicação dos conhecimentos científicos; ao progresso da Ciência ao longo do tempo.

Utilizando o software GeoGebra como recurso didático para o ensino do movimento oscilatório de pêndulos

Pós-graduação em Educação para a Ciência - FC

Construção de conceitos de física moderna e sobre a natureza da ciência com o suporte da hipermídia

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Avaliação de competências profissionais de aprendizes com deficiência: um estudo de caso

Pós-graduação em Educação - FFC

A autonomia no contexto Teletandem institucinal integrado

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

O papel dos consumidores residencias no ambiente das redes inteligentes: medidores eletrônicos de energia

Pós-graduação em Engenharia Mecânica - FEG

A contextualização da Física aplicada em situações de mobilidade urbana

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Os Fundamentos da Física Aplicados em Situações Cotidianas: Um Estímulo para Aumentar o Interesse dos Alunos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Sequência didática como instrumento para a aprendizagem significativa do efeito fotoelétrico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

The interlanguage development in the spanish learning as foreign language in Teletandem under the View of the Complexity Theory

This article presents, under the perspective of Complexity Theory, the characteristics of the learning process of Spanish as a foreign language in Teletandem. Data were collected from two pairs of Portuguese-Spanish interagents, who were engaged in a systematic and regular interaction, based on the tandem principles. It was found that the learning experience is developed with the peculiarities that arise from the context, agents, members and their nuances, which revealed the presence of a shallow space between the systems of native and foreign languages.

A multiple intelligences theory-based 3D virtual lab environment for digital systems teaching.

This paper describes a 3D virtual lab environment that was developed using OpenSim software integrated into Moodle. Virtuald software tool was used to provide pedagogical support to the lab by enabling to create online texts and delivering them to the students. The courses taught in this virtual lab are methodologically in conformity to theory of multiple intelligences. Some results are presented.

Neural network based on adaptive resonance theory with continuous training for multi-configuration transient stability analysis of electric power systems

This work presents a methodology to analyze electric power systems transient stability for first swing using a neural network based on adaptive resonance theory (ART) architecture, called Euclidean ARTMAP neural network. The ART architectures present plasticity and stability characteristics, which are very important for the training and to execute the analysis in a fast way. The Euclidean ARTMAP version provides more accurate and faster solutions, when compared to the fuzzy ARTMAP configuration. Three steps are necessary for the network working, training, analysis and continuous training. The training step requires much effort (processing) while the analysis is effectuated almost without computational effort. The proposed network allows approaching several topologies of the electric system at the same time; therefore it is an alternative for real time transient stability of electric power systems. To illustrate the proposed neural network an application is presented for a multi-machine electric power systems composed of 10 synchronous machines, 45 buses and 73 transmission lines. (C) 2010 Elsevier B.V. All rights reserved.

A machine learning approach for genome-wide prediction of morbid and druggable human genes based on systems-level data

Background: The genome-wide identification of both morbid genes, i.e., those genes whose mutations cause hereditary human diseases, and druggable genes, i.e., genes coding for proteins whose modulation by small molecules elicits phenotypic effects, requires experimental approaches that are time-consuming and laborious. Thus, a computational approach which could accurately predict such genes on a genome-wide scale would be invaluable for accelerating the pace of discovery of causal relationships between genes and diseases as well as the determination of druggability of gene products.Results: In this paper we propose a machine learning-based computational approach to predict morbid and druggable genes on a genome-wide scale. For this purpose, we constructed a decision tree-based meta-classifier and trained it on datasets containing, for each morbid and druggable gene, network topological features, tissue expression profile and subcellular localization data as learning attributes. This meta-classifier correctly recovered 65% of known morbid genes with a precision of 66% and correctly recovered 78% of known druggable genes with a precision of 75%. It was than used to assign morbidity and druggability scores to genes not known to be morbid and druggable and we showed a good match between these scores and literature data. Finally, we generated decision trees by training the J48 algorithm on the morbidity and druggability datasets to discover cellular rules for morbidity and druggability and, among the rules, we found that the number of regulating transcription factors and plasma membrane localization are the most important factors to morbidity and druggability, respectively.Conclusions: We were able to demonstrate that network topological features along with tissue expression profile and subcellular localization can reliably predict human morbid and druggable genes on a genome-wide scale. Moreover, by constructing decision trees based on these data, we could discover cellular rules governing morbidity and druggability.

Particle Competition and Cooperation in Networks for Semi-Supervised Learning

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Linear analysis of building floor structures by a BEM formulation based on Reissner's theory

In this work, the plate bending formulation of the boundary element method (BEM) based on the Reissner's hypothesis is extended to the analysis of zoned plates in order to model a building floor structure. In the proposed formulation each sub-region defines a beam or a slab and depending on the way the sub-regions are represented, one can have two different types of analysis. In the simple bending problem all sub-regions are defined by their middle surface. on the other hand, for the coupled stretching-bending problem all sub-regions are referred to a chosen reference surface, therefore eccentricity effects are taken into account. Equilibrium and compatibility conditions are automatically imposed by the integral equations, which treat this composed structure as a single body. The bending and stretching values defined on the interfaces are approximated along the beam width, reducing therefore the number of degrees of freedom. Then, in the proposed model the set of equations is written in terms of the problem values on the beam axis and on the external boundary without beams. Finally some numerical examples are presented to show the accuracy of the proposed model.