47 resultados para Aprendizagem Baseada em Problemas
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SILVA, Alexandre Reche e. LAUDMUS: rumo à implantação e gerenciamento de uma lista de audição musical online. In: ENCONTRO REGIONAL DA ABEM NORDESTE (Associação Brasileira de Educação Musical), 9, Natal, RN, 2010. Anais eletronicos... Natal, RN, 2010.Trabalho Completo. Disponivel em:
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Pour beaucoup de chercheurs, il y a une crise à l école et dans l enseignement/apprentissage des langues qui est provoquée par un enseignement cloisonné et décontextualisé de la réalité. Dans ce type d enseignement/apprentissage, le livre scolaire a une présence si hégémonique qu il est la source quasi exclusive du discours pédagogique et on ne fait que très rarement usage des langages du quotidien des apprenants. Le langage télévisuel est un de ces langages qui pourraient être utilisé pour ciliter enseignement/apprentissage d une langue vivante, variée et en situation, car il permet l exploration de tous les composants de la compétence de communication. En même temps, ce langage pourrait servir à sensibiliser les apprenants à une éducation aux médias. Le journal télévisé peut favoriser un enseignement/apprentissage intégré de la langue maternelle et de la langue étrangère, grâce à son format, similaire dans plusieurs cultures, et à son importance en tant que reflet des valeurs socioculturels des sociétés. Ces qualités sont très favorables pour stimuler le transfert des compétences entre la langue maternelle et la langue étrangère, pour qu on puisse enseigner et apprendre une langue, et connaître une culture. Le journal télévisé est vu comme une source d information et son analyse en classe peut contribuer à la formation d un apprenent/citoyen actualisé, critique et conscient des problèmes et des répresentations des sociétés
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Los estudios cerca de las dificultades en el aprendizaje del contenido de la biología han sido foco de la investigación diversa que si ten corido a partir de la década de setenta del siglo pasado, en consecuencia al movimiento de las concepciones alternativas (MCA). El estudio que se presenta, se atan con el Departamento de Educação da UFRN - Base de Pesquisa Formação e Profissionalização Docente, como parte do projeto de pesquisa - A passagem do Ensino Médio a UFRN: estudos sobre o acesso, a permanência e a qualidade do Ensino Médio. Los objetivos de esto investigación, habían consistido en el identificar del contenido explorado en las cuestiones de las Pruebas de la opción múltiple del Vestibular de UFRN para el cual los candidatos habían demostrado dificultad en el aprendizaje; para analizar si el contextualização de la pregunta y la presencia de elementos no-literales que habían influenciado en el aumento de la dificultad de la pregunta e identificar los errores más frecuentemente por los candidatos en estas pruebas. La tesis si configura en dos dimensiones: 1 - El contenido explorado en las Pruebas del Vestibular de la UFRN si distribuya uniformemente a través de los años; sendo priorizados procedimentos que exigem demanda cognitiva diversificadas na solução de problemas; 2- Nessas provas, os resultados dos candidatos, en relación con el Índice de Aproveitamento, indican la existencia de áreas en las quales hay déficit del aprendizaje; qué envolucran las dificultades en aprender el contenido. Los datos de la investigación habían sido recogidos al partir de las pruebas de la biología y de la inicial abstracta selectiva de los informes proveído para el COMPERVE/UFRN, del último los ocho años (2001-2008). En la dirección alcanzar a los objetivos considerados para este estudio, contenta había sido construido a las categorías del análisis - (temas, subtemas y procedimientos); índice de aproveitamento; contextualização de la pregunta; estructura de la pregunta y el error. Los resultados, qué si configurán de los análisis de las ocho pruebas del vestibular de la UFRN y los sesenta y cientos envolvement mil, seiscientos y sesenta y cinco candidatos que le habían contestado; demuestran eso: los temas y los subtemas de la biología para los cuales las dificultades en aprender si está tenido divulgado sea - genética (hibridismo; fenótipo y genotipo; Leyes de Mendel), biotecnología (transgênicos; célula-tronco) y citología (química de la vida; división celular; membranas) y los procedimientos - identificar, analizar la situación y aplicar concepto, para correlacionar y para interpretar el gráfico; los quais não exigem uma alta demanda cognitiva na solução dos problemas. La presencía de situações contextualizadas e de gráficos en las questiones de las pruebas influenciou en el aumento dos niveles dificuldade da of questão para a maioria dos candidatos, reiterando as of dificuldades of observadas na of aprendizagem dos procedimentos. Los errores principales cometidos para los candidatos habían consistido en no reconocimiento del estándar de la herencia del gênica - mendelian y después de-Mendel; no del reconocimiento de los acontecimientos de la división celular y de las técnicas en biotecnología. Éstos habían reflejado las dificultades en aprender del contenido para algún contenido y en otros sugieren que tuviera la expresión de los conceptos alternativos que los estudiantes construyen en los conceptos. Los resultados señalan la necesidad de una revisión de las preguntas inherentes didácticas-metodológicas a la educación del contenido para las cuales las dificultades en aprender si hay tenido presentado
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Through the examination of official indicators, it can be observed that writing is pointed out as one of the main problems concerning formal basic education. However, this teaching-learning object is one of the central objectives at school, having an essential role in different curricular components as well as in the interaction demands required by society. Such paradox indicates, therefore, the relevance of investigations which analyze the intrinsic elements of child development as written text producer. Hence, the main purpose of this research consists of analyzing the treatment given to the types of discourse and the teaching situations in which the written text are produced, concerning Portuguese language didactic material collections approved by Programa Nacional do Livro Didático (PNLD 2010) the Brazilian program of didactic book and worked at elementary school. Such materials correspond to the collections adopted in municipal education system schools from Natal, RN which were below the official education indicator IDEB 2009. Thus, the questions that guide this work are: 1. During writing production lessons, is the diversity of types of discourse effectively worked on didactic collections? 2. Which are the types of discourse and the social spheres prioritized when teaching writing production? 3. How is the situation addressed in the production of the written text should be produced? For this research, we retook the authors Bakhtin, Bunzen, Faraco, Freire, Rodrigues, Rojo, Schneuwly e Dolz and we made a list of all types of discourse and spheres contemplated in the propositions of the writing production in didactical books, concerning the eight collections which compounds the first moment of analysis. Then, we verified how the situation of production is oriented by examining two didactic collections if and how they express the elements referring to the social-historical, functional and linguistic-discursive context of the text to be produced. The data obtained indicate: lack of diversification of types of discourse in the collection that compounds the Aggregate Sample of the research; the conception of a diversity based on the didactic of visiting; the recognition of all canonical and hegemonic types of text as one of the privileged objects of study; the centralization on the standard variety of the language and the devaluation of the representative types of cultural diversity; the shortage of productions which retrace to written language related to different technologies of communication and information; and the little emphasis on the types of discourse related to public language practices. As for the situations of production, it is observed the predominance of the school as a producer of dialogic relationships, whose propositions present, for example, text addressees, enunciative positions, support and contexts of restricted circulation, especially at school. Two divergent situations are observed among the collections: the lack of a work in which the situation of production is under the perspective of the types of discourse as object of teaching-learning; the concept of the types of discourse as object of reflection, presenting a differentiated didactic orientation towards the situation of production. This research contributes, therefore, with a mapping of the existence and the treatment of the types of discourse on propositions of writing production in didactic books; with the critical analysis of the approach of written activities, considering the elements of the historical-social, functional and linguistic-discursive context; thus, through teaching, research and public policies, use and selection of didactic material for the area
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The Theory of Meaningful Learning (TML) described by David Paul Ausubel offers a proposal for the teaching strategies to provide a more active and effective student learning. The projection of the TML practice is demonstrated through the development of concept maps (CM) technique, created by Joseph Donald Novak, which presents as a strategy, method or schematic feature, which is an indicator to identify the cognitive organization of the knowledge acquired by students. The survey was conducted in the light of TML in relation to learning concepts involving students of undergraduate nursing in a public university in the state of Rio Grande do Norte. Thus, the study aimed to compare the concept learning of students of undergraduate nursing, when subjected to different forms of education, to point approaches that promote more effective and meaningful results. It was a quasi - experimental study with a qualitative analysis, conducted with students of the Undergraduate Nursing of the Universidade Federal do Rio Grande do Norte (UFRN), approved by the Research Ethics Committee/UFRN Certification of Presention for Ethics Appreciation (CPEA) in 11706412.3.0000.5537. The study took place at two different times and involved content on complications mediate postoperative surgical wound in the same discipline with students who attended the 5th semester of the degree course in Nursing. For the viability of data collection, in the second half of 2013, we used the technique of CM, to represent the concept of complications mediate postoperative surgical wound covered in the classroom. CM were built at a different time from that of the discipline, with the support of tutors and preceded by a brief description and explanation about the form of preparation and application. In this study were subjected, 31 students of undergraduate nursing, registered in the discipline of Integral Attention to health I. In the first stage, 18 students participated in the survey, they had the teaching intervention based on TML, and in the second stage, all students participated in the lesson provided curriculum with the responsible teacher of the subject, on the same issue occurred. At the end of each meeting, the students 11 developed concept maps with the aid of software Cmap Tools®. Data analysis happened upon the technique of content analysis, supported by a conceptual map "glass", previously developed by researchers and aid in the preparation of the categories in which the concepts found were classified. The study found that the teaching intervention based on TML with the help of CM, managed to develop in students a more expressive teaching learning process than just classroom curriculum with the traditional teaching method, and also that the association between the intervention motion teaching with the traditional method and the use of the technique of CM encourages the student the ability to articulate the various acquired knowledge as well as apply them in real situations
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The changes that have taken place in the organizational environment in recent decades have led to new performance measurement systems being proposed, given the inadequacy of traditional models. The Balanced Scorecard (BSC) emerged as an instrument to translate financial and non-financial assets into real values for all interested parties in the organization, allowing the introduction of strategies to achieve the desired goals. Research shows that most errors committed with the use of this method are related to the implementation process. Thus, the aim of this dissertation is to analyze the process of building and implementing the BSC in an organization. This empirical exploratory study is based on the classic case study method, which enables the researcher to work with a set of evidence, including direct observation, interviews and document analysis. The results show that the use of BSC in the company investigated posed problems during the process of building and implementing the method. These problems were caused mainly by the lack of involvement on the part of upper management and the team s scant knowledge of Balanced Scorecard. One of the gains obtained from adopting the system was the introduction and/or consolidation of a culture of strategic planning and participative management. The continuous implementation phase was highlighted in the monitoring program, created by the organization in an attempt to reverse existing problems, using the BSC as a third generation strategic management system, which led to significant gains, better use of the system and stronger management practices
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This work discusses the environmental management thematic, on the basis of ISO 14001 standard and learning organization. This study is carried through an exploratory survey in a company of fuel transport, located in Natal/RN. The objective of this research was to investigate the practices of environmental management, carried through in the context of an implemented ISO 14001 environmental management system, in the researched organization, from the perspective of the learning organization. The methodology used in this work is supported in the quantitative method, combining the exploratory and descriptive types, and uses the technique of questionnaires, having as scope of the research, the managers, employee controlling, coordinators, supervisors and - proper and contracted - of the company. To carry through the analysis of the data of this research, it was used software Excel and Statistical version 6.0. The analysis of the data is divided in two parts: descriptive analysis and analysis of groupings (clusters). The results point, on the basis of the studied theory, as well as in the results of the research, that the implemented ISO 14001 environmental system in the searched organization presents elements that promote learning organization. From the results, it can be concluded that the company uses external information in the decision taking on environmental problems; that the employees are mobilized to generate ideas and to collect n environmental information and that the company has carried through partnerships in the activities of the environmental area with other companies. All these item cited can contribute for the generation of knowledge of the organization. It can also be concluded that the company has evaluated environmental errors occurrences in the past, as well as carried through environmental benchmarking. These practical can be considered as good ways of the company to acquire knowledge. The results also show that the employees have not found difficulties in the accomplishment of the tasks when the manager of its sector is not present. This result can demonstrate that the company has a good diffusion of knowledge
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In the recovering process of oil, rock heterogeneity has a huge impact on how fluids move in the field, defining how much oil can be recovered. In order to study this variability, percolation theory, which describes phenomena involving geometry and connectivity are the bases, is a very useful model. Result of percolation is tridimensional data and have no physical meaning until visualized in form of images or animations. Although a lot of powerful and sophisticated visualization tools have been developed, they focus on generation of planar 2D images. In order to interpret data as they would be in the real world, virtual reality techniques using stereo images could be used. In this work we propose an interactive and helpful tool, named ZSweepVR, based on virtual reality techniques that allows a better comprehension of volumetric data generated by simulation of dynamic percolation. The developed system has the ability to render images using two different techniques: surface rendering and volume rendering. Surface rendering is accomplished by OpenGL directives and volume rendering is accomplished by the Zsweep direct volume rendering engine. In the case of volumetric rendering, we implemented an algorithm to generate stereo images. We also propose enhancements in the original percolation algorithm in order to get a better performance. We applied our developed tools to a mature field database, obtaining satisfactory results. The use of stereoscopic and volumetric images brought valuable contributions for the interpretation and clustering formation analysis in percolation, what certainly could lead to better decisions about the exploration and recovery process in oil fields
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There are some approaches that take advantage of unused computational resources in the Internet nodes - users´ machines. In the last years , the peer-to-peer networks (P2P) have gaining a momentum mainly due to its support for scalability and fault tolerance. However, current P2P architectures present some problems such as nodes overhead due to messages routing, a great amount of nodes reconfigurations when the network topology changes, routing traffic inside a specific network even when the traffic is not directed to a machine of this network, and the lack of a proximity relationship among the P2P nodes and the proximity of these nodes in the IP network. Although some architectures use the information about the nodes distance in the IP network, they use methods that require dynamic information. In this work we propose a P2P architecture to fix the problems afore mentioned. It is composed of three parts. The first part consists of a basic P2P architecture, called SGrid, which maintains a relationship of nodes in the P2P network with their position in the IP network. Its assigns adjacent key regions to nodes of a same organization. The second part is a protocol called NATal (Routing and NAT application layer) that extends the basic architecture in order to remove from the nodes the responsibility of routing messages. The third part consists of a special kind of node, called LSP (Lightware Super-Peer), which is responsible for maintaining the P2P routing table. In addition, this work also presents a simulator that validates the architecture and a module of the Natal protocol to be used in Linux routers
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The metaheuristics techiniques are known to solve optimization problems classified as NP-complete and are successful in obtaining good quality solutions. They use non-deterministic approaches to generate solutions that are close to the optimal, without the guarantee of finding the global optimum. Motivated by the difficulties in the resolution of these problems, this work proposes the development of parallel hybrid methods using the reinforcement learning, the metaheuristics GRASP and Genetic Algorithms. With the use of these techniques, we aim to contribute to improved efficiency in obtaining efficient solutions. In this case, instead of using the Q-learning algorithm by reinforcement learning, just as a technique for generating the initial solutions of metaheuristics, we use it in a cooperative and competitive approach with the Genetic Algorithm and GRASP, in an parallel implementation. In this context, was possible to verify that the implementations in this study showed satisfactory results, in both strategies, that is, in cooperation and competition between them and the cooperation and competition between groups. In some instances were found the global optimum, in others theses implementations reach close to it. In this sense was an analyze of the performance for this proposed approach was done and it shows a good performance on the requeriments that prove the efficiency and speedup (gain in speed with the parallel processing) of the implementations performed
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The exponential growth in the applications of radio frequency (RF) is accompanied by great challenges as more efficient use of spectrum as in the design of new architectures for multi-standard receivers or software defined radio (SDR) . The key challenge in designing architecture of the software defined radio is the implementation of a wide-band receiver, reconfigurable, low cost, low power consumption, higher level of integration and flexibility. As a new solution of SDR design, a direct demodulator architecture, based on fiveport technology, or multi-port demodulator, has been proposed. However, the use of the five-port as a direct-conversion receiver requires an I/Q calibration (or regeneration) procedure in order to generate the in-phase (I) and quadrature (Q) components of the transmitted baseband signal. In this work, we propose to evaluate the performance of a blind calibration technique without additional knowledge about training or pilot sequences of the transmitted signal based on independent component analysis for the regeneration of I/Q five-port downconversion, by exploiting the information on the statistical properties of the three output signals
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E-learning, which refers to the use of Internet-related technologies to improve knowledge and learning, has emerged as a complementary form of education, bringing advantages such as increased accessibility to information, personalized learning, democratization of education and ease of update, distribution and standardization of the content. In this sense, this paper aims to develop a tool, named ISE-SPL, whose purpose is the automatic generation of E-learning systems for medical education, making use of concepts of Software Product Lines. It consists of an innovative methodology for medical education that aims to assist professors of healthcare in their teaching through the use of educational technologies, all based on computing applied to healthcare (Informatics in Health). The tests performed to validate the ISE-SPL were divided into two stages: the first was made by using a software analysis tool similar to ISE-SPL, called SPLOT and the second was performed through usability questionnaires to healthcare professors who used ISESPL. Both tests showed positive results, proving it to be an efficient tool for generation of E-learning software and useful for professors in healthcare
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Reinforcement learning is a machine learning technique that, although finding a large number of applications, maybe is yet to reach its full potential. One of the inadequately tested possibilities is the use of reinforcement learning in combination with other methods for the solution of pattern classification problems. It is well documented in the literature the problems that support vector machine ensembles face in terms of generalization capacity. Algorithms such as Adaboost do not deal appropriately with the imbalances that arise in those situations. Several alternatives have been proposed, with varying degrees of success. This dissertation presents a new approach to building committees of support vector machines. The presented algorithm combines Adaboost algorithm with a layer of reinforcement learning to adjust committee parameters in order to avoid that imbalances on the committee components affect the generalization performance of the final hypothesis. Comparisons were made with ensembles using and not using the reinforcement learning layer, testing benchmark data sets widely known in area of pattern classification
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
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The pattern classification is one of the machine learning subareas that has the most outstanding. Among the various approaches to solve pattern classification problems, the Support Vector Machines (SVM) receive great emphasis, due to its ease of use and good generalization performance. The Least Squares formulation of SVM (LS-SVM) finds the solution by solving a set of linear equations instead of quadratic programming implemented in SVM. The LS-SVMs provide some free parameters that have to be correctly chosen to achieve satisfactory results in a given task. Despite the LS-SVMs having high performance, lots of tools have been developed to improve them, mainly the development of new classifying methods and the employment of ensembles, in other words, a combination of several classifiers. In this work, our proposal is to use an ensemble and a Genetic Algorithm (GA), search algorithm based on the evolution of species, to enhance the LSSVM classification. In the construction of this ensemble, we use a random selection of attributes of the original problem, which it splits the original problem into smaller ones where each classifier will act. So, we apply a genetic algorithm to find effective values of the LS-SVM parameters and also to find a weight vector, measuring the importance of each machine in the final classification. Finally, the final classification is obtained by a linear combination of the decision values of the LS-SVMs with the weight vector. We used several classification problems, taken as benchmarks to evaluate the performance of the algorithm and compared the results with other classifiers