98 resultados para Abordagens à aprendizagem


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The software systems development with domain-specific languages has become increasingly common. Domain-specific languages (DSLs) provide increased of the domain expressiveness, raising the abstraction level by facilitating the generation of models or low-level source code, thus increasing the productivity of systems development. Consequently, methods for the development of software product lines and software system families have also proposed the adoption of domain-specific languages. Recent studies have investigated the limitations of feature model expressiveness and proposing the use of DSLs as a complement or substitute for feature model. However, in complex projects, a single DSL is often insufficient to represent the different views and perspectives of development, being necessary to work with multiple DSLs. In order to address new challenges in this context, such as the management of consistency between DSLs, and the need to methods and tools that support the development with multiple DSLs, over the past years, several approaches have been proposed for the development of generative approaches. However, none of them considers matters relating to the composition of DSLs. Thus, with the aim to address this problem, the main objectives of this dissertation are: (i) to investigate the adoption of the integrated use of feature models and DSLs during the domain and application engineering of the development of generative approaches; (ii) to propose a method for the development of generative approaches with composition DSLs; and (iii) to investigate and evaluate the usage of modern technology based on models driven engineering to implement strategies of integration between feature models and composition of DSLs

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

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The use of technology tools for teaching and learning has grown increasingly in our daily life. In this context, a branch that has had tremendous growth is the area of teaching and learning language through computational tools. The study of CALL (Computer Assisted Language Learning), accomplished in this research, aims to evaluate existing tools in this context, focused specifically on the Japanese language; and from this study, accomplish the development of a new computational tool that can assist teaching/learning of the Japanese language. As results, we present a wide survey on the subject in various technologies/devices, as well as the complete development process of a new tool, the Karuchā Ships Invaders game, that proposes to teach basic concepts of the language, blended with entertainment, and still, focusing on the Brazilian students of Japanese language audience. We will present all the concept phases of the game and its evolution through the research, as well as an interface evaluation. Still, we present proposal and validation of a method to evaluate motivational aspects of computational tools with educational focus, and results extracted from an experiment accomplished with prospective users

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Discutem-se as mudanças constatadas no ensino da Histologia, como a tecnologia tem sido empregada nos contextos de aprendizagem, os aspectos pedagógicos inerentes à utilização de recursos, tais como atlas digitais e microscópios virtuais, e apresenta-se pesquisa sobre o desenvolvimento de um ambiente virtual de ensino-aprendizagem de Histologia, que contou com a participação de alunos e professores em sua construção. Verificou-se que os ambientes virtuais e outros recursos didáticos baseados nas Tecnologias da Informação e da Comunicação (TICs) procuram atender à atual tendência de complementar a educação presencial com ferramentas de educação a distância, que podem ser utilizadas facultativamente no estudo extraclasse continuado. Concluiu-se que, embora as novas tecnologias possam contribuir para o ensino de Histologia, os materiais didáticos baseados em TICs devem se adequar às expectativas docentes e discentes e aos aspectos pedagógicos e ergonômicos, e precisam ser adotados pelos professores não como ferramentas isoladas, mas integrados às estratégias de ensino- -aprendizagem

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A progressiva diminuição de carga horária destinada às disciplinas baseadas em microscopia, os altos custos dos laboratórios e a necessidade de materiais multimídia que integrem a teoria com a prática e incentivem os alunos a estudar têm propiciado o desenvolvimento de atlas interativos e ambientes virtuais de aprendizagem, que são, em geral, pouco adotados por professores e alunos. O presente trabalho descreve o desenvolvimento de um ambiente virtual de aprendizagem de Histologia, baseado na metodologia de design participativo e em princípios da ergopedagogia, no qual alunos e professores conduziram sua construção. Com base na avaliação do protótipo, concluiu-se que, embora os ambientes virtuais devam adequar-se às necessidades de aprendizagem, características dos alunos e ao contexto de uso, é preciso que os professores integrem estes recursos em suas práticas de ensino, para seu uso efetivo

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The present study has the objective to analyze with teachers from Elementary School the knowledge mobilized in the organization of the teaching-learning process, and its implications in the exploitation of that process. The investigation was developed with two teachers from the first years of the Elementary School, from a public school in Pau dos Ferros-RN. It adopts as basis the notion of knowledge as a set of individual and social relations that the individuals maintain with the world and with themselves, in the teaching and learning relation. (CHARLOT, 2000). It considers yet that the knowledges are immediate processes, reconstructed and mobilized by the practice of reflection, in dialogical and interactional contexts in contact with others. (BAKHTIN, 2002, 2003; VYGOTSKY, 1991, 2004, 2005). The collaborative approach was the theoretical and methodological background that oriented the investigative-educative process. By choosing a collaborative research as basis of the investigative pathway, it starts from the knowledge that the critical and collaborative reflection developed with the teachers from the first years of the Elementary School contribute to explicitate and resignify the meanings assigned to the knowledges that these teachers mobilize in the organization of the teaching-learning and its implications in this process. The results of the reflexive and investigative process developed with the teachers demonstrate that the familiar, scholastic, academic, professional, and the work knowledges lived, constitute the consciousness of being a teacher, and that these knowledges implicate in the dynamics of the process of teaching-learning, but not always the teachers take consciousness about these knowledges. The critical and collaborative reflection, mediated by the actions of describing, announcing, facing and reconstructing allowed to the participants of the research to realize the knowledges of themselves and of the other, the difficulties and possibilities in the organization of the teaching-learning process

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In this work, we propose a two-stage algorithm for real-time fault detection and identification of industrial plants. Our proposal is based on the analysis of selected features using recursive density estimation and a new evolving classifier algorithm. More specifically, the proposed approach for the detection stage is based on the concept of density in the data space, which is not the same as probability density function, but is a very useful measure for abnormality/outliers detection. This density can be expressed by a Cauchy function and can be calculated recursively, which makes it memory and computational power efficient and, therefore, suitable for on-line applications. The identification/diagnosis stage is based on a self-developing (evolving) fuzzy rule-based classifier system proposed in this work, called AutoClass. An important property of AutoClass is that it can start learning from scratch". Not only do the fuzzy rules not need to be prespecified, but neither do the number of classes for AutoClass (the number may grow, with new class labels being added by the on-line learning process), in a fully unsupervised manner. In the event that an initial rule base exists, AutoClass can evolve/develop it further based on the newly arrived faulty state data. In order to validate our proposal, we present experimental results from a level control didactic process, where control and error signals are used as features for the fault detection and identification systems, but the approach is generic and the number of features can be significant due to the computationally lean methodology, since covariance or more complex calculations, as well as storage of old data, are not required. The obtained results are significantly better than the traditional approaches used for comparison

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Seismic wave dispersion and attenuation studies have become an important tool for lithology and fluid discrimination in hydrocarbon reservoirs. The processes associated to attenuation are complex and are encapsulated in a single quantitative description called quality factor (Q). The present dissertation has the objective of comparing different approaches of Q determination and is divided in two parts. Firstly, we made performance and robustness tests of three different approaches for Q determination in the frequency domain. They are: peak shift, centroid shift and spectral ratio. All these tests were performed in a three-layered model. In the suite of tests performed here, we varied the thickness, Q and inclination of the layers for propagation pulses with central frequency of 30, 40 and 60 Hz. We found that the centroid shift method is produces robust results for the entire suíte of tests. Secondly, we inverted for Q values using the peak and centroid shift methods using an sequential grid search algorithm. In this case, centroid shift method also produced more robust results than the peak shift method, despite being of slower convergence