USO DE OBJETOS DE APRENDIZAGEM NO ENSINO TÉCNICO INTEGRADO

O uso de objetos de aprendizagem no ensino técnico integrado pode fortalecer a experiência de aprendizagem do aluno, gerando níveis maiores de retenção de conhecimento. Nesta pesquisa, os objetos de aprendizagem propostos são vídeo-aulas de inglês instrumental para informática. Dois grupos de alunos (de PROEJA) irão participar das atividades de monitoria, sendo que apenas um dos grupos terão as vídeo-aulas como material didático. A partir de questionários e entrevistas, os dados serão coletados e, posteriormente, analisados e interpretados. Os resultados indicarão se os objetos de aprendizagem contribuem ou não para o aprendizado dos alunos de ensino técnico integrado, aprendizado necessário na formação de profissionais preparados para o mercado de trabalho

Analysis and monitoring of electrical grounding grid encapsulated with concrete: case study using simulation in finite element method

This work study the influence of concrete, plaster, clay and others buried structures in grounding systems. Comparison of soil characteristics between dry and rainy seasons on different grounding systems. The study includes comparison of six different grounding system on dry season and wet season. Simulations in finite element method was performed for tree layer stratified soil and the electrostatic equipotential surfaces were mapped into the region of interest

Calculation of the influence of slot geometry on the magnetic flux density of the air gap

The objective of this work is to investigate the influence of slotted air gap constructive parameters on magnetic flux density of rotating machines. For this purpose, different approaches were used to solve the air gap field diagram using finite element method and the magnetic field distribution uniformity was evaluated by Carter's factor calculation on two-dimensional and three-dimensional models. Sensitivity analysis of slot constructive parameters was performed and results show that slot geometry modifies the magnetic flux on air gap and shifts the air gap magnetic equipotential midline of double slotted machines. Finally, minimization of Carter’s factor on two-dimensional model presents an optimized slot geometry with a near uniform magnetic flux density distribution

Metric for Calculation of System Complexity based on its Connections

This paper proposes a methodology based on system connections to calculate its complexity. Two study cases are proposed: the dining Chinese philosophers’ problem and the distribution center. Both studies are modeled using the theory of Discrete Event Systems and simulations in different contexts were performed in order to measure their complexities. The obtained results present i) the static complexity as a limiting factor for the dynamic complexity, ii) the lowest cost in terms of complexity for each unit of measure of the system performance and iii) the output sensitivity to the input parameters. The associated complexity and performance measures aggregate knowledge about the system

Rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART): Study protocol for a randomized controlled trial

Background: Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality. Alveolar recruitment followed by ventilation at optimal titrated PEEP may reduce ventilator-induced lung injury and improve oxygenation in patients with ARDS, but the effects on mortality and other clinical outcomes remain unknown. This article reports the rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART). Methods/Design: ART is a pragmatic, multicenter, randomized (concealed), controlled trial, which aims to determine if maximum stepwise alveolar recruitment associated with PEEP titration is able to increase 28-day survival in patients with ARDS compared to conventional treatment (ARDSNet strategy). We will enroll adult patients with ARDS of less than 72 h duration. The intervention group will receive an alveolar recruitment maneuver, with stepwise increases of PEEP achieving 45 cmH(2)O and peak pressure of 60 cmH2O, followed by ventilation with optimal PEEP titrated according to the static compliance of the respiratory system. In the control group, mechanical ventilation will follow a conventional protocol (ARDSNet). In both groups, we will use controlled volume mode with low tidal volumes (4 to 6 mL/kg of predicted body weight) and targeting plateau pressure <= 30 cmH2O. The primary outcome is 28-day survival, and the secondary outcomes are: length of ICU stay; length of hospital stay; pneumothorax requiring chest tube during first 7 days; barotrauma during first 7 days; mechanical ventilation-free days from days 1 to 28; ICU, in-hospital, and 6-month survival. ART is an event-guided trial planned to last until 520 events (deaths within 28 days) are observed. These events allow detection of a hazard ratio of 0.75, with 90% power and two-tailed type I error of 5%. All analysis will follow the intention-to-treat principle. Discussion: If the ART strategy with maximum recruitment and PEEP titration improves 28-day survival, this will represent a notable advance to the care of ARDS patients. Conversely, if the ART strategy is similar or inferior to the current evidence-based strategy (ARDSNet), this should also change current practice as many institutions routinely employ recruitment maneuvers and set PEEP levels according to some titration method.Hospital do Coracao (HCor) as part of the Program 'Hospitais de Excelencia a Servico do SUS (PROADI-SUS)'Brazilian Ministry of Healt

Intelligent Control of Free Time in Multi-session Tutoring

Made available in DSpace on 2014-07-29T15:08:22Z (GMT). No. of bitstreams: 1 dissertacao_Viviane_Margarida_Gomes_EEEC_UFG_2009.pdf: 1229653 bytes, checksum: 6dded0cdb59c4c56c5eb4f04ee56788f (MD5) Previous issue date: 2009-08-22Intelligent Tutoring Systems are softwares to provide customized instruction by using techniques of Computational Intelligence. This research proposes the intelligent control of free time (break interval) in multi-session tutoring. The teaching strategy employs tutoring modules with the following steps: 1) video class, 2) exercise, 3) practical suggestion, 4) free time, and 5) revision exercise. As part of the learning environment, free time (step 4) can contribute to increase the knowledge retention. Based on the student performance in exercises, the proposed system uses Reinforcement Learning to control free time durations. The intelligent agent decides according to the policy that has been indicated by the Softmax method. Among the relevant points of this algorithm, it can be highlighted the optimistic initial values, the incremental implementation and the temperature adjustment (Gibbs distribution parameter) to the selection of action. Two student groups have participated of data collection. The experimental group (with intelligent control) has been compared to the control group (where decisions belong to the student). In the groups, the intelligent agent or the student determines the action that will be followed or, in more detail, if free time will be shorter, longer or maintained. In comparison, statistical data analysis have shown significant and equivalent gains in knowledge retention. However, students from experimental group have realized more accurately the role of free time as a component of the teaching strategySistemas Tutores Inteligentes são programas para prover instrução personalizada a partir de técnicas de Inteligência Computacional. Esta pesquisa propõe o controle inteligente de tempo livre (pausas) em tutoria multissessão. A estratégia de ensino apresenta a tutoria em módulos, com as seguintes etapas: 1) vídeo-aula, 2) exercício, 3) sugestão prática, 4) tempo livre e 5) exercício de revisão. Como parte do ambiente de aprendizagem, o tempo livre (etapa 4) pode contribuir para aumentar a retenção de conhecimento. Baseado no desempenho do aluno nos exercícios, o sistema proposto utiliza Aprendizagem por Reforço para controlar a duração do tempo livre. O agente inteligente toma decisões de acordo com a política definida pelo método Softmax. Entre os pontos relevantes do algoritmo, destacam-se o valor inicial otimizado das ações, a implementação incremental e o ajuste da temperatura (parâmetro da distribuição de Gibbs) para a seleção de ação. Dois grupos de estudantes participaram da coleta de dados. O grupo experimental (com controle inteligente do tempo livre) foi comparado ao grupo controle (onde a decisão pertence ao próprio estudante). Nos grupos, o agente inteligente ou o aluno determina a ação a ser seguida, mais detalhadamente, diminuir, manter ou aumentar a duração do tempo livre. Por meio de estudo comparativo, a análise estatística dos dados mostrou ganhos significativos e equivalentes na retenção de conhecimento. Contudo, alunos do grupo experimental perceberam melhor o tempo livre como componente da estratégia de ensin

Controle Inteligente de Tempo Livre em Tutoria Multissessão: Concepção, Implementação e Avaliação Empírica

Esta pesquisa propõe o controle inteligente de tempo livre (pausas) em tutoria multissessão. A estratégia de ensino apresenta o conteúdo em módulos com vídeo-aula, exercício, sugestão prática, tempo livre e exercício de revisão. Baseado no desempenho do aluno nos exerc ícios, o sistema proposto utiliza Aprendizagem por Reforço para controlar a duracão das pausas. O grupo experimental (com controle inteligente do tempo livre) foi comparado ao grupo controle (onde a decisão pertence ao próprio estudante). Resultados mostram ganhos significativos e equivalentes na retenção de conheciment

USO DE OBJETOS DE APRENDIZAGEM NO ENSINO TÉCNICO INTEGRADO

O uso de objetos de aprendizagem no ensino técnico integrado pode fortalecer a experiência de aprendizagem do aluno, gerando níveis maiores de retenção de conhecimento. Nesta pesquisa, os objetos de aprendizagem propostos são vídeo-aulas de inglês instrumental para informática. Dois grupos de alunos (de PROEJA) irão participar das atividades de monitoria, sendo que apenas um dos grupos terão as vídeo-aulas como material didático. A partir de questionários e entrevistas, os dados serão coletados e, posteriormente, analisados e interpretados. Os resultados indicarão se os objetos de aprendizagem contribuem ou não para o aprendizado dos alunos de ensino técnico integrado, aprendizado necessário na formação de profissionais preparados para o mercado de trabalho

Analysis and monitoring of electrical grounding grid encapsulated with concrete: case study using simulation in finite element method

This work study the influence of concrete, plaster, clay and others buried structures in grounding systems. Comparison of soil characteristics between dry and rainy seasons on different grounding systems. The study includes comparison of six different grounding system on dry season and wet season. Simulations in finite element method was performed for tree layer stratified soil and the electrostatic equipotential surfaces were mapped into the region of interest