Criar o próprio jogo didático ou apenas jogar? Efeitos de diferentes estratégias de ensino na motivação e aprendizado de ciências

The use of games as educational tools is common, however the effectiveness of games with educational purposes is still poorly known. In this study we evaluated three different low-cost teaching strategies make and play your own board game, just play an educational science game and make a poster to be exposed in the school regarding: (1) science learning; (2) use of deep learning strategies (DLS); and (3) intrinsic motivation. We tested the hypothesis that, in these three parameters evaluated, scores would be higher in the group that made and play their own game, followed respectively by the group that just played a game and the group that made a poster. The research involved 214 fifth-grade students from six elementary schools in Natal/RN. A group of students made and played their own science board game (N = 68), a second group played a science game (N = 75), and a third group made a poster to be exposed at school (N = 71). Our hypothesis was partly empirically supported, since there was no significant difference in science learning and in the use of DLS between the group that made their own game and the group that just played the game; however, both groups had significantly higher scores in science learning and in use of DLS than the group that made the poster. There was no significant difference in the scores of intrinsic motivation among the three experimental groups. Our results indicate that activities related to non-digital games can provide a favorable context for learning in the school environment. We conclude that the use of games for educational purposes (both making a game and just playing a game) is an efficient and viable alternative to teach science in Brazilian public school

Cartografia de uma intervenção comunitária para prevenção de DST/HIV/AIDS

Community-based interventions have been presented as a proposal of operationalization of the concept of vulnerability to STD/Aids prevention. This study aimed to analyze the Community intervention developed through the project Strengthening of Community action networks for STD/Aids prevention: know and intervenein, at Mãe Luiza neighborhood, in the city of Natal, State of Rio Grande do Norte, Brazil. The study was conducted in the same location where intervention occurs and took as time reference the first 30 months of construction and deployment process, from April 2010 until December 2012. This is research with qualitative approach, participatory character, developed from the immersion of the researcher in the field, being this community intervention itself. In this perspective, the study approximates to the Cartographic method in which the researcher-researched is engendered in the acts and effects research. The data-generating sources were the memories of the researcher from the field notes, written narratives of subjects involved in the intervention and documents pertaining to the project. In the methodological path of cartography, the image of the rhizome by Deleuze and Guattari (1995) has accompanied the immersion in the field given the nature of research-intervention which approach to the concept of object-Rhizome. The presentation of results was composed for the attempted rhizomatic and a hypertext representation, based on the descriptive narrative taken from the documentary analysis and the multi-faceted narratives with the voices, the looks and the affections narrated by the subject involved, respectively. On the path taken, three lanes were drawn as synthesis of learning produced by experience-that can contribute to understanding the process under study, in his singular character, and reflections on other experiences of community intervention: track 1- Community intervention as active-reflective space and a cause; track 2 Inclusion as power and challenge of community involvement; track 3 Sustainability as A challenge of Community intervention. The study indicates that community intervention is presented as a potential producer of health as also produces practical and creative skills, subjects and inventive in the daily life of the community with a view to reinventing knowledge and practices for the prevention of STD/HIV/Aids

Aprendizado significativo aplicado ao ensino de algoritmos

The course of Algorithms and Programming reveals as real obstacle for many students during the computer courses. The students not familiar with new ways of thinking required by the courses as well as not having certain skills required for this, encounter difficulties that sometimes result in the repetition and dropout. Faced with this problem, that survey on the problems experienced by students was conducted as a way to understand the problem and to guide solutions in trying to solve or assuage the difficulties experienced by students. In this paper a methodology to be applied in a classroom based on the concepts of Meaningful Learning of David Ausubel was described. In addition to this theory, a tool developed at UFRN, named Takkou, was used with the intent to better motivate students in algorithms classes and to exercise logical reasoning. Finally a comparative evaluation of the suggested methodology and traditional methodology was carried out, and results were discussed

Curva de aprendizado em cirurgia aórtica videolaparoscópica: estudo experimental em porcos

CONTEXTO: A cirurgia videolaparoscópica (CVL) vem evoluindo como alternativa cirúrgica menos invasiva para o tratamento da doença aterosclerótica oclusiva aorto-ilíaca e do aneurisma da aorta abdominal. Poucos estudos avaliaram objetivamente a curva de aprendizado com essa técnica em cirurgia vascular. OBJETIVO: Avaliar objetivamente os tempos e a evolução de cada passo cirúrgico e demonstrar a exeqüibilidade dessa técnica. MÉTODOS: Entre outubro 2007 e janeiro de 2008, dois cirurgiões vasculares iniciantes na CVL operaram, após cursos e treinamentos, seis porcos consecutivos, com dissecção aórtica e interposição de um enxerto de dácron em um segmento da aorta infra-renal abdominal, com técnica totalmente laparoscópica. RESULTADOS: Todos os tempos cirúrgicos foram decrescentes ao longo do estudo, apresentando redução de 45,9% no tempo total de cirurgia, 85,8% no tempo de dissecção da aorta, 81,2% na exposição da aorta, 55,1% no clampeamento total, 71% na confecção da anastomose proximal e 64,9% na anastomose distal. CONCLUSÃO: O presente estudo mostrou que os resultados técnicos satisfatórios da CVL vascular ocorreram somente após longa curva de aprendizado, que foi decrescente ao longo do tempo, à medida que aumentou a experiência e vivência com os materiais e com a visão não-estereoscópica. Essa técnica pode ser realizada com perfeição por cirurgiões vasculares desde que façam cursos especializados, com treinamento em simuladores e animais, e desde que busquem constante aprimoramento a fim de conseguir resultados similares aos obtidos com a cirurgia convencional.

Uso de confiabilidade na rotulação de exemplos em problemas de classificação multirrótulo com aprendizado semissupervisionado

The techniques of Machine Learning are applied in classification tasks to acquire knowledge through a set of data or information. Some learning methods proposed in literature are methods based on semissupervised learning; this is represented by small percentage of labeled data (supervised learning) combined with a quantity of label and non-labeled examples (unsupervised learning) during the training phase, which reduces, therefore, the need for a large quantity of labeled instances when only small dataset of labeled instances is available for training. A commom problem in semi-supervised learning is as random selection of instances, since most of paper use a random selection technique which can cause a negative impact. Much of machine learning methods treat single-label problems, in other words, problems where a given set of data are associated with a single class; however, through the requirement existent to classify data in a lot of domain, or more than one class, this classification as called multi-label classification. This work presents an experimental analysis of the results obtained using semissupervised learning in troubles of multi-label classification using reliability parameter as an aid in the classification data. Thus, the use of techniques of semissupervised learning and besides methods of multi-label classification, were essential to show the results

Investigando a combinação de técnicas de aprendizado semissupervisionado e classificação hierárquica multirrótulo

Data classification is a task with high applicability in a lot of areas. Most methods for treating classification problems found in the literature dealing with single-label or traditional problems. In recent years has been identified a series of classification tasks in which the samples can be labeled at more than one class simultaneously (multi-label classification). Additionally, these classes can be hierarchically organized (hierarchical classification and hierarchical multi-label classification). On the other hand, we have also studied a new category of learning, called semi-supervised learning, combining labeled data (supervised learning) and non-labeled data (unsupervised learning) during the training phase, thus reducing the need for a large amount of labeled data when only a small set of labeled samples is available. Thus, since both the techniques of multi-label and hierarchical multi-label classification as semi-supervised learning has shown favorable results with its use, this work is proposed and used to apply semi-supervised learning in hierarchical multi-label classication tasks, so eciently take advantage of the main advantages of the two areas. An experimental analysis of the proposed methods found that the use of semi-supervised learning in hierarchical multi-label methods presented satisfactory results, since the two approaches were statistically similar results

Imuno-histoquímica para identificação de células neoplásicas no infiltrado ativo de melanomas finos

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

Avaliação do emprego dos adsorventes: carvão ativo, chromosorb W e membrana C18 na preparação de amostras de ar para a determinação de d-aletrina em ambientes fechados

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

Aprendizado não-supervisionado em redes neurais pulsadas de base radial: um estudo da capacidade de agrupamento para a classificação de pixels

Redes neurais pulsadas - redes que utilizam uma codificação temporal da informação - têm despontado como uma promissora abordagem dentro do paradigma conexionista, emergente da ciência cognitiva. Um desses novos modelos é a rede neural pulsada com função de base radial, que é capaz de armazenar informação nos tempos de atraso axonais dos neurônios. Um algoritmo de aprendizado foi aplicado com sucesso nesta rede pulsada, que se mostrou capaz de mapear uma seqüência de pulsos de entrada em uma seqüência de pulsos de saída. Mais recentemente, um método baseado no uso de campos receptivos gaussianos foi proposto para codificar dados constantes em uma seqüência de pulsos temporais. Este método tornou possível a essa rede lidar com dados computacionais. O processo de aprendizado desta nova rede não se encontra plenamente compreendido e investigações mais profundas são necessárias para situar este modelo dentro do contexto do aprendizado de máquinas e também para estabelecer as habilidades e limitações desta rede. Este trabalho apresenta uma investigação desse novo classificador e um estudo de sua capacidade de agrupar dados em três dimensões, particularmente procurando estabelecer seus domínios de aplicação e horizontes no campo da visão computacional.

Trabalhando com estratégias de ensino-aprendizado por descoberta na área da saúde: a problematização e a aprendizagem baseada em problemas.

Considering the changes in teaching in the health field and the demand for new ways of dealing with knowledge in higher learning, the article discusses two innovative methodological approaches: problem-based learning (PBL) and problematization. Describing the two methods' theoretical roots, the article attempts to identify their main foundations. As distinct proposals, both contribute to a review of the teaching and learning process: problematization, focused on knowledge construction in the context of the formation of a critical awareness; PBL, focused on cognitive aspects in the construction of concepts and appropriation of basic mechanisms in science. Both problematization and PBL lead to breaks with the traditional way of teaching and learning, stimulating participatory management by actors in the experience and reorganization of the relationship between theory and practice. The critique of each proposal's possibilities and limits using the analysis of their theoretical and methodological foundations leads us to conclude that pedagogical experiences based on PBL and/or problematization can represent an innovative trend in the context of health education, fostering breaks and more sweeping changes.

Aprendizado de máquina simbólico e técnicas fractais para caracterizar rejeição em biópsia miocárdica

This work combines symbolic machine learning and multiscale fractal techniques to generate models that characterize cellular rejection in myocardial biopsies and that can base a diagnosis support system. The models express the knowledge by the features threshold, fractal dimension, lacunarity, number of clusters, spatial percolation and percolation probability, all obtained with myocardial biopsies processing. Models were evaluated and the most significant was the one generated by the C4.5 algorithm for the features spatial percolation and number of clusters. The result is relevant and contributes to the specialized literature since it determines a standard diagnosis protocol. © 2013 Springer.

Alterações morfofisiológicas do tegumento de coelhos infestados por carrapatos Rhipicephalus sanguineus (Acari: Ixodidae) e expostos à selamectina (princípio ativo do acaricida Revolution®, Pfizer)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Uso do curativo bio-ativo em pacientes com feridas de origem multifatorial

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)