34 resultados para Aprendizado Ativo


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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

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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

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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

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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

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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

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In view of the evident increase in the population group of people over 60 years old, the aging process has raised important discussions on social, political and economical planning that recommend that the increase in longevity must be followed by autonomy and well-being. Faced to these demands, the literature reports that physical activity is a key strategy to promote better living conditions for the elderly. Studies about personenvironment are making efforts to understand the socio physical environment role to encourage old people to make activities in many different environments. Among these, the urban public open space has been reported by many researches as a promising alternative in order to adopt a less sedentary life style. Based on these considerations, this study proposed to investigate the relationship between the social environment support elements and social interaction of seniors in public squares in the city of Natal, RN, using a multimethodological approach that included a experts panel, environmental characteristics analysis of 252 squares, case studies containing collective and individual interviews with elderly users and the spatial representation of their social interactions. The association between physical activities with the socialization practiced by them was identified as the main motivation for their presence in these places. The results indicate that the relationship between the socio-environmental characteristics (concept developed in this study) and the socio-spatial behaviors that include the spatial appropriation, spatial arrangements and interpersonal distances, helps to promote social interactions in carrying out activities, which, according to the assumptions Active Ageing Program, enable the maintenance of an active way of life, with important implications for health, wellness and quality of life in old age

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The conventional control schemes applied to Shunt Active Power Filters (SAPF) are Harmonic extractor-based strategies (HEBSs) because their effectiveness depends on how quickly and accurately the harmonic components of the nonlinear loads are identified. The SAPF can be also implemented without the use of the load harmonic extractors. In this case, the harmonic compensating term is obtained from the system active power balance. These systems can be considered as balanced-energy-based schemes (BEBSs) and their performance depends on how fast the system reaches the equilibrium state. In this case, the phase currents of the power grid are indirectly regulated by double sequence controllers with two degrees of freedom, where the internal model principle is employed to avoid reference frame transformation. Additionally the DSC controller presents robustness when the SAPF is operating under unbalanced conditions. Furthermore, SAPF implemented without harmonic detection schemes compensate simultaneously harmonic distortion and reactive power of the load. Their compensation capabilities, however, are limited by the SAPF power converter rating. Such a restriction can be minimized if the level of the reactive power correction is managed. In this work an estimation scheme for determining the filter currents is introduced to manage the compensation of reactive power. Experimental results are shown for demonstrating the performance of the proposed SAPF system.

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In this work the degradation of real and synthetic wastewater was studied using electrochemical processes such as oxidation via hydroxyl radicals, mediated oxidation via active chlorine and electrocoagulation. The real effluent used was collected in the decanter tank of the Federal University of Rio Grande do Norte (ETE-UFRN) of Effluent Treatment Plant and the other a textile effluent dye Ácido Blue 113 (AB 113) was synthesized in the laboratory. In the electrochemical process, the effects of anode material, current density, the presence and concentration of chloride as well as the active chlorine species on site generated were evaluated. Electrodes of different compositions, Ti/Pt, Ti/Ru0,3Ti0,7O2, BDD, Pb/PbO2 and Ti/TiO2-nanotubes/PbO2 were used as anodes. These electrodes were subjected to electroanalytical analysis with the goal of checking how happen the anodic and cathodic processes across the concentrations of NaCl and supporting electrolyte used. The potential of oxygen evolution reaction were also checked. The effect of active chlorine species formed under the process efficiency was evaluated by removing the organic matter in the effluent-ETE UFRN. The wastewater treatment ETE-UFRN using Ti/Pt, DDB and Ti/Ru0,3Ti0,7O2 electrodes was evaluated, obtaining good performances. The electrochemical degradation of effluent-UFRN was able to promote the reduction of the concentration of TOC and COD in all tested anodes. However, Ti/Ru0,3Ti0,7O2 showed a considerable degradation due to active chlorine species generated on site. The results obtained from the electrochemical process in the presence of chloride were more satisfactory than those obtained in the absence. The addition of 0.021 M NaCl resulted in a faster removal of organic matter. Secondly, was prepared and characterized the electrode Ti/TiO2-nanotubes/PbO2 according to what the literature reports, however their preparation was to disk (10 cm diameter) with surface area and higher than that described by the same authors, aiming at application to textile effluent AB 113 dye. SEM images were taken to observe the growth of TiO2 nanotubes and confirm the electrodeposition of PbO2. Atomic Force Microscope was also used to confirm the formation of these nanotubes. Furthermore, was tested and found a high electrochemical stability of the electrode Ti/TiO2-nanotubes/PbO2 for applications such as long-term indicating a good electrocatalytic material. The electrochemical oxidation of AB 113 using Ti/Pt, Pb/PbO2 and Ti/TiO2-nanotubes/PbO2 and Al/Al (electrocoagulation) was also studied. However, the best color removal and COD decay were obtained when Ti/TiO2-nanotubes/PbO2 was used as the anode, removing up to 98% of color and 92,5% of COD decay. Analysis of GC/MS were performed in order to identify possible intermediates formed in the degradation of AB 113.

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This study aimed to build a virtual learning environment for application of the nursing process based on the NANDA-I, NOC, NIC and ICNP® . Faced with problems related to learning of the nursing process and classifications, there is an urgent need to develop innovative teaching resources that modify the relationship between students and teachers. The methodology was based on the steps inception, development, construction and transition, and the software development process Rational Process Unifield. The team involved in the development of this environment was composed by researchers and students of The Care and Epidemiological Practice in Health and Nursing and Group of the Software Engineering curse of the Federal University Rio Grande do Norte, with the participation of the Lisbon and Porto Schools of Nursing, in Portugal. In the inception stage the inter research communication was in order to define the functions, features and tools for the construction process. In the preparation, step the planning and modeling occurred, which resulted in the creation of a diagram and a architectural drawings that specify the features and functionality of the software. The development, unit testing and integrated in interfaces of the modules and areas (administrator, teacher, student, and construction of the NP). Then the transition step was performed, which showed complete and functioning system, as well as the training and use by researchers with its use in practice. In conclusion, this study allowed for the planning and the construction of an educational technology, and it is expected that its implementation will trigger a substantial change in the learning of the nursing process and classifications, with the student being active agent of the learning process. Later, an assessment will be made of functional performance, which will enable the software development, with a feedback, correction of defects and necessary changes. It is believed that the software increment after the reviews, this tool grow further and help insert this methodology and every language under the educational and health institutions, promoting paradigmatic desired change by nursing.

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When searching for food, animals often make decisions of where to go, how long to stay in a foraging area and whether or not to return to the last visited spot. These decisions can be enhanced by cognitive traits and adjusted based on previous experience. In social insects such as ants, foraging efficiency have an impact on both individual and colony level. The present study investigated, in the laboratory, the effect of distance from food, capture success and food size, and reward rate on decisions of where to forage in Dinoponera quadriceps, a ponerine ant that forage solitarily and individually make their foraging decisions. We also investigated the influence of learning on the performance of workers over successive trips searching for food by measuring the patch residence time in each foraging trip. Four scenarios were created differing in food reward rates, food size offered and distances colony-food site. Our work has shown that as a rule-of-thumb, workers of D. quadriceps return to the place where a prey item was found on the previous trip, regardless of distance, food size and reward rate. When ants did not capture preys, they were more likely to change path to search for food. However, in one of the scenarios, this decision to switch paths when unsuccessful was less evident, possibly due to the greater variation of possible outcomes ants could experience in this scenario and cognitive constraints of D. quadriceps to predict variations of food distribution. Our results also indicated a learning process of routes of exploration as well as the food site conditions for exploration. After repeated trips, foragers reduced the patch residence time in areas that they did not capture food and quickly changed of foraging area, increasing their foraging efficiency.

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This Thesis main objective is to implement a supporting architecture to Autonomic Hardware systems, capable of manage the hardware running in reconfigurable devices. The proposed architecture implements manipulation, generation and communication functionalities, using the Context Oriented Active Repository approach. The solution consists in a Hardware-Software based architecture called "Autonomic Hardware Manager (AHM)" that contains an Active Repository of Hardware Components. Using the repository the architecture will be able to manage the connected systems at run time allowing the implementation of autonomic features such as self-management, self-optimization, self-description and self-configuration. The proposed architecture also contains a meta-model that allows the representation of the Operating Context for hardware systems. This meta-model will be used as basis to the context sensing modules, that are needed in the Active Repository architecture. In order to demonstrate the proposed architecture functionalities, experiments were proposed and implemented in order to proof the Thesis hypothesis and achieved objectives. Three experiments were planned and implemented: the Hardware Reconfigurable Filter, that consists of an application that implements Digital Filters using reconfigurable hardware; the Autonomic Image Segmentation Filter, that shows the project and implementation of an image processing autonomic application; finally, the Autonomic Autopilot application that consist of an auto pilot to unmanned aerial vehicles. In this work, the applications architectures were organized in modules, according their functionalities. Some modules were implemented using HDL and synthesized in hardware. Other modules were implemented kept in software. After that, applications were integrated to the AHM to allow their adaptation to different Operating Context, making them autonomic.

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The time perception is critical for environmental adaptation in humans and other species. The temporal processing, has evolved through different neural systems, each responsible for processing different time scales. Among the most studied scales is that spans the arrangement of seconds to minutes. Evidence suggests that the dorsolateral prefrontal (DLPFC) cortex has relationship with the time perception scale of seconds. However, it is unclear whether the deficit of time perception in patients with brain injuries or even "reversible lesions" caused by transcranial magnetic stimulation (TMS) in this region, whether by disruption of other cognitive processes (such as attention and working memory) or the time perception itself. Studies also link the region of DLPFC in emotional regulation and specifically the judgment and emotional anticipation. Given this, our objective was to study the role of the dorsolateral prefrontal cortex in the time perception intervals of active and emotionally neutral stimuli, from the effects of cortical modulation by transcranial direct current stimulation (tDCS), through the cortical excitation (anodic current), inhibition (cathode current) and control (sham) using the ranges of 4 and 8 seconds. Our results showed that there is an underestimation when the picture was presented by 8 seconds, with the anodic current in the right DLPFC, there is an underestimation and with cathodic current in the left DLPFC, there is an overestimation of the time reproduction with neutral ones. The cathodic current over the left DLPFC leads to an inverse effect of neutral ones, an underestimation of time with negative pictures. Positive or negative pictures improved estimates for 8 second and positive pictures inhibited the effect of tDCS in DLPFC in estimating time to 4 seconds. With this work, we conclude that the DLPFC plays a key role in the o time perception and largely corresponds to the stages of memory and decision on the internal clock model. The left hemisphere participates in the perception of time in both active and emotionally neutral contexts, and we can conclude that the ETCC and an effective method to study the cortical functions in the time perception in terms of cause and effect.

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The teaching-learning process requires a constant search on the part of educators for didatic innovations aimed at improving learning. Among these are technological innovations our students are familiar with. In human anatomy teaching, these innovations are increasingly important, since the need for “mechanizing” many structures may make learning tiresome and nonstimulating for students. The search for new technologies may make this process simpler. Another important issue is the need to constantly emphasize applying the knowledge in question, in order for students to better understand the meaning of learning. Accordingly, this project aims to develop an interactive tablet application for neck anatomy. This application will function as a guide to dissection, containing text, photographs, drawings and videos, distributed systematically, with a script emphasizing the clinical and surgical importance of neck anatomy.

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The treatment of wastewater is essential to human health. One of the most important steps is the disinfection treatment which uses chlorine to eliminate bacteria as required by environmental agencies. However, the identification of potentially toxic byproducts generated by this method, such as trihalomethanes, has stimulated the development of new alternative disinfection technologies. Among them, heterogeneous photocatalysis, TiO2 photocatalysis and electrochemical disinfection are considered suitable alternatives to the chlorination method. Thus, the present dissertation analyzes the evolution of active chlorine species in a synthetic NaCl solution and it is tested to treat a synthetic solution of the dye Reactive Blue 19 using boron-doped diamond (BDD) and ruthenium oxide (Ti/Ru0.3Ti0.7O2) as anodes. The indirect electrochemical process was discussed in terms of mineralization of the total organic load and percentage of color removal in order to evaluate the applicability of electrochemical technology. Electrochemical experiments were carried out with different current densities (25, 50 and 75 mA.cm-2) during 120 minutes. On the other hand, other important parameter in this study was the influence of the proportion sp3/sp2 on BDD anode on the performance of the evolution of active chlorine species which was investigated by electrolytic techniques (linear polarization), with the intention of determining the related training oxidizing species and consumption energy to chemical or electrochemical reactions. From the results, it can be noted that the BDD electrode showed better efficiency throughout the electrochemical process.

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The treatment of wastewater is essential to human health. One of the most important steps is the disinfection treatment which uses chlorine to eliminate bacteria as required by environmental agencies. However, the identification of potentially toxic byproducts generated by this method, such as trihalomethanes, has stimulated the development of new alternative disinfection technologies. Among them, heterogeneous photocatalysis, TiO2 photocatalysis and electrochemical disinfection are considered suitable alternatives to the chlorination method. Thus, the present dissertation analyzes the evolution of active chlorine species in a synthetic NaCl solution and it is tested to treat a synthetic solution of the dye Reactive Blue 19 using boron-doped diamond (BDD) and ruthenium oxide (Ti/Ru0.3Ti0.7O2) as anodes. The indirect electrochemical process was discussed in terms of mineralization of the total organic load and percentage of color removal in order to evaluate the applicability of electrochemical technology. Electrochemical experiments were carried out with different current densities (25, 50 and 75 mA.cm-2) during 120 minutes. On the other hand, other important parameter in this study was the influence of the proportion sp3/sp2 on BDD anode on the performance of the evolution of active chlorine species which was investigated by electrolytic techniques (linear polarization), with the intention of determining the related training oxidizing species and consumption energy to chemical or electrochemical reactions. From the results, it can be noted that the BDD electrode showed better efficiency throughout the electrochemical process.