688 resultados para Practice-based learning
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Pós-graduação em Educação - FCT
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Odontologia Preventiva e Social - FOA
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Pós-graduação em Educação - FFC
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Pós-graduação em Educação - FFC
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A metodologia da Aprendizagem Baseada em Problemas (ABP), diferentemente dos métodos de ensino convencionais, é uma metodologia que usa problemas para diminuir a lacuna entre a teoria e a prática no processo de aprendizagem. Além de favorecer a construção de conhecimentos, se propõe a contribuir para o desenvolvimento de algumas capacidades profissionais não técnicas, consideradas importantes para a prática do engenheiro em uma sociedade em constantes e rápidas transformações. Este trabalho, uma pesquisa-ação, buscou vivenciar e analisar a eficiência do método durante sua aplicação na disciplina “Gestão Empresarial”, ministrada a alunos do penúltimo e último semestre do Curso de Graduação em Engenharia Civil. Os dados para a análise foram coletados por meio de observação participante do professor/tutor da disciplina e de relatórios de avaliação, nos quais os alunos opinavam sobre a ABP, suas vantagens e desvantagens e seu potencial para atingir os objetivos propostos. Nos três estudos de caso realizados, apesar de aplicados em turmas diferentes, evidenciam-se através dos relatórios apresentados pelos alunos e de avaliações feitas durante todo o processo, a ocorrência tanto da aprendizagem dos conhecimentos quanto o desenvolvimento de algumas habilidades e atitudes objetivadas pela disciplina, tais como: capacidade de pesquisa, desenvolvimento de espírito empreendedor e busca de conhecimentos inovadores. De forma geral, os alunos reagiram positivamente à ABP, o que sugere sua possível utilização nos contextos estudados. A metodologia também demonstrou ser um instrumento interessante de desenvolvimento profissional para o professor/tutor, no que concerne ao aprimoramento docente.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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This research was aimed to discuss the prospect constructivist education. This study was based on a survey literature and an investigation of teaching practices performed the daily routine of a classroom in the first years of elementary school a bilingual private school in Bauru - SP. For development of empirical research was adopted as a tool for collecting observation data. Then the results were analyzed the light of constructivist theory. Through this work we could confirm that observed in the classroom teaching practice-based perspective constructivist happens successfully. Many important elements of constructivist perspective, such as planning lessons, adoption collaborative teaching strategies and investment relations Interpersonal are satisfactorily achieved by teachers who, overall, considering the students' prior knowledge, establish strategies that foster learning, value the interpersonal relationships with group work and guided by the collaboration in the mediation of teacher education process. Therefore, the practice teaching does not happen spontaneously or empirical, critical often attributed to constructivism nowadays.
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The theme of this research is mathematics education for the deaf. It is hoped that this work will enable more thorough understanding of the subject matter, since, to be inclusion of people with hearing disabilities in society is necessary to establish measures ranging acceptance and family participation to break prejudices and demystification related learning ability of these individuals. This research also aims to provide grants for teaching mathematics to deaf , so that the teacher can build a current pedagogical practice that will not only meet their expectations as a teacher , but above that encourages the development of skills essential to the competence of the student with special educational needs . An educational practice based in the communication and interaction between teacher and students, with the intention of providing an effective meaning of mathematical knowledge, you can add new possibilities in an educational context marked by scarcity of communicative opportunities
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Background: It is well known, since the pioneristic observation by Jenkins and Dallenbach (Am J Psychol 1924;35:605-12), that a period of sleep provides a specific advantage for the consolidation of newly acquired informations. Recent research about the possible enhancing effect of sleep on memory consolidation has focused on procedural memory (part of non-declarative memory system, according to Squire’s taxonomy), as it appears the memory sub-system for which the available data are more consistent. The acquisition of a procedural skill follows a typical time course, consisting in a substantial practice-dependent learning followed by a slow, off-line improvement. Sleep seems to play a critical role in promoting the process of slow learning, by consolidating memory traces and making them more stable and resistant to interferences. If sleep is critical for the consolidation of a procedural skill, then an alteration of the organization of sleep should result in a less effective consolidation, and therefore in a reduced memory performance. Such alteration can be experimentally induced, as in a deprivation protocol, or it can be naturally observed in some sleep disorders as, for example, in narcolepsy. In this research, a group of narcoleptic patients, and a group of matched healthy controls, were tested in two different procedural abilities, in order to better define the size and time course of sleep contribution to memory consolidation. Experimental Procedure: A Texture Discrimination Task (Karni & Sagi, Nature 1993;365:250-2) and a Finger Tapping Task (Walker et al., Neuron 2002;35:205-11) were administered to two indipendent samples of drug-naive patients with first-diagnosed narcolepsy with cataplexy (International Classification of Sleep Disorder 2nd ed., 2005), and two samples of matched healthy controls. In the Texture Discrimination task, subjects (n=22) had to learn to recognize a complex visual array on the screen of a personal computer, while in the Finger Tapping task (n=14) they had to press a numeric sequence on a standard keyboard, as quickly and accurately as possible. Three subsequent experimental sessions were scheduled for each partecipant, namely a training session, a first retrieval session the next day, and a second retrieval session one week later. To test for possible circadian effects on learning, half of the subjects performed the training session at 11 a.m. and half at 17 p.m. Performance at training session was taken as a measure of the practice-dependent learning, while performance of subsequent sessions were taken as a measure of the consolidation level achieved respectively after one and seven nights of sleep. Between training and first retrieval session, all participants spent a night in a sleep laboratory and underwent a polygraphic recording. Results and Discussion: In both experimental tasks, while healthy controls improved their performance after one night of undisturbed sleep, narcoleptic patients showed a non statistically significant learning. Despite this, at the second retrieval session either healthy controls and narcoleptics improved their skills. Narcoleptics improved relatively more than controls between first and second retrieval session in the texture discrimination ability, while their performance remained largely lower in the motor (FTT) ability. Sleep parameters showed a grater fragmentation in the sleep of the pathological group, and a different distribution of Stage 1 and 2 NREM sleep in the two groups, being thus consistent with the hypothesis of a lower consolidation power of sleep in narcoleptic patients. Moreover, REM density of the first part of the night of healthy subjects showed a significant correlation with the amount of improvement achieved at the first retrieval session in TDT task, supporting the hypothesis that REM sleep plays an important role in the consolidation of visuo-perceptual skills. Taken together, these results speak in favor of a slower, rather than lower consolidation of procedural skills in narcoleptic patients. Finally, an explanation of the results, based on the possible role of sleep in contrasting the interference provided by task repetition is proposed.
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Learning by reinforcement is important in shaping animal behavior, and in particular in behavioral decision making. Such decision making is likely to involve the integration of many synaptic events in space and time. However, using a single reinforcement signal to modulate synaptic plasticity, as suggested in classical reinforcement learning algorithms, a twofold problem arises. Different synapses will have contributed differently to the behavioral decision, and even for one and the same synapse, releases at different times may have had different effects. Here we present a plasticity rule which solves this spatio-temporal credit assignment problem in a population of spiking neurons. The learning rule is spike-time dependent and maximizes the expected reward by following its stochastic gradient. Synaptic plasticity is modulated not only by the reward, but also by a population feedback signal. While this additional signal solves the spatial component of the problem, the temporal one is solved by means of synaptic eligibility traces. In contrast to temporal difference (TD) based approaches to reinforcement learning, our rule is explicit with regard to the assumed biophysical mechanisms. Neurotransmitter concentrations determine plasticity and learning occurs fully online. Further, it works even if the task to be learned is non-Markovian, i.e. when reinforcement is not determined by the current state of the system but may also depend on past events. The performance of the model is assessed by studying three non-Markovian tasks. In the first task, the reward is delayed beyond the last action with non-related stimuli and actions appearing in between. The second task involves an action sequence which is itself extended in time and reward is only delivered at the last action, as it is the case in any type of board-game. The third task is the inspection game that has been studied in neuroeconomics, where an inspector tries to prevent a worker from shirking. Applying our algorithm to this game yields a learning behavior which is consistent with behavioral data from humans and monkeys, revealing themselves properties of a mixed Nash equilibrium. The examples show that our neuronal implementation of reward based learning copes with delayed and stochastic reward delivery, and also with the learning of mixed strategies in two-opponent games.
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n learning from trial and error, animals need to relate behavioral decisions to environmental reinforcement even though it may be difficult to assign credit to a particular decision when outcomes are uncertain or subject to delays. When considering the biophysical basis of learning, the credit-assignment problem is compounded because the behavioral decisions themselves result from the spatio-temporal aggregation of many synaptic releases. We present a model of plasticity induction for reinforcement learning in a population of leaky integrate and fire neurons which is based on a cascade of synaptic memory traces. Each synaptic cascade correlates presynaptic input first with postsynaptic events, next with the behavioral decisions and finally with external reinforcement. For operant conditioning, learning succeeds even when reinforcement is delivered with a delay so large that temporal contiguity between decision and pertinent reward is lost due to intervening decisions which are themselves subject to delayed reinforcement. This shows that the model provides a viable mechanism for temporal credit assignment. Further, learning speeds up with increasing population size, so the plasticity cascade simultaneously addresses the spatial problem of assigning credit to synapses in different population neurons. Simulations on other tasks, such as sequential decision making, serve to contrast the performance of the proposed scheme to that of temporal difference-based learning. We argue that, due to their comparative robustness, synaptic plasticity cascades are attractive basic models of reinforcement learning in the brain.
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In this article, we refine a politics of thinking from the margins by exploring a pedagogical model that advances transformative notions of service learning as social justice teaching. Drawing on a recent course we taught involving both incarcerated women and traditional college students, we contend that when communication among differentiated and stratified parties occurs, one possible result is not just a view of the other but also a transformation of the self and other. More specifically, we suggest that an engaged feminist praxis of teaching incarcerated women together with college students helps illuminate the porous nature of fixed markers that purport to reveal our identities (e.g., race and gender), to emplace our bodies (e.g., within institutions, prison gates, and walls), and to specify our locations (e.g., cultural, geographic, socialeconomic). One crucial theoretical insight our work makes clear is that the model of social justice teaching to which we aspired necessitates re-conceptualizing ourselves as students and professors whose subjectivities are necessarily relational and emergent.