788 resultados para Collaborative learning flow pattern


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En el contexto actual de innovación tecnológica aparecen nuevas necesidades de aprendizaje y cobran particular relevancia los procesos pedagógicos. Los MOOC se posicionan como una alternativa educacional disruptiva y como puntos de encuentro educomunicativos abiertos a todos, a través de los cuales podemos acceder a esa inteligencia distribuida y accesible en la Red en la que formar redes relacionales externas e internas y tejer una construcción de conocimiento, a partir de nuevas ideas y de la inteligencia colectiva que se produce. Desde una perspectiva teórica, abordamos la acción educomunicativa inherente a los MOOC, partiendo de la necesidad de implementar una inteRmetodología, en la que el Factor Relacional sea determinante, que disponga de estrategias y prácticas para englobar a los discentes en sus diversas dimensiones, con el objetivo de construir conocimiento común en relación y conexión, desde una reflexión encaminada a la acción y participación, para llegar a una praxis holística.

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Con la intención de experimentar con nuevas formas de aprendizaje a través de la Educomunicación y de los MOOCs sociales o sMOOC, creamos una experiencia de aprendizaje colaborativo y de empoderamiento individual y social, a través de nuestra propuesta “Road sMOOC: Un viaje Eduktransformador”, llevado a cabo en la Plataforma ECOLearning. La finalidad de este sMOOC ha sido emprender un viaje de descubrimiento personal y de alfabetización digital crítica, motivando a los participantes a que dejen aflorar su potencial transformador y que participen activamente en las redes sociales, generando así un aprendizaje colectivo y aumentando el impacto social de nuestras acciones. Se reflexiona sobre los autores que nos inspiraron, sobre lo que entendemos por Educomunicación transformadora y las posibilidades que ofrecen los sMOOC. Finalmente resumimos los objetivos, recursos creados, aprendizajes compartidos y conclusiones que surgen al co-crear una identidad colectiva y un espíritu de trabajo en comunidad como “Eduktransformers”.

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Diastolic dysfunction has a major impact on symptom status, functional capacity, medical treatment, and prognosis in both systolic and diastolic heart failure (HF), irrespective of the cause.w1 w2 When systolic dysfunction is clearly present, the central clinical question concerns the presence or absence of elevated filling pressure; a restrictive filling pattern is highly specific for elevated pulmonary wedge pressure in this setting.1w3 The transmitral flow pattern is also predictive of outcome; non-reversibility of restrictive filling with treatment portends a very poor prognosis.2 Thus, diastolic evaluation is an important component of the evaluation of the patient with systolic left ventricular (LV) impairment.

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The effect of retrofitting an existing pond on removal efficiency and hydraulic performance was modelled using the commercial software Mike21 and compartmental modelling. The Mike21 model had previously been calibrated on the studied pond. Installation of baffles, the addition of culverts under a causeway and removal of an existing island were all studied as possible improvement measures in the pond. The subsequent effect on hydraulic performance and removal of. suspended solids was then evaluated. Copper, cadmium, BOD, nitrogen and phosphorus removal were,also investigated for that specific improvement measure showing the best results. Outcomes of this study reveal that all measures increase the removal efficiency of suspended solids. The hydraulic efficiency is improved for all cases, except for the case where the island is removed. Compartmental modelling was also used to evaluate hydraulic performance and facilitated a better understanding of the way each of the different measures affected the flow pattern and performance. It was concluded that the installation of baffles is the best of the studied measures resulting in a reduction in the annual load on the receiving lake by approximately 8,000 kg of suspended solids (25% reduction of the annual load), 2 kg of copper (10% reduction of the annual load) and 600 kg of BOD (10% reduction of the annual load).

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Computational fluid dynamics was used to search for the links between the observed pattern of attack seen in a bauxite refinery's heat exchanger headers and the hydrodynamics inside the header. Validation of the computational fluid dynamics results was done by comparing then with flow parameters measured in a 1:5 scale model of the first pass header in the laboratory. Computational fluid dynamics simulations were used to establish hydrodynamic similarity between the 1:5 scale and full scale models of the first pass header. It was found that the erosion-corrosion damage seen at the tubesheet of the first pass header was a consequence of increased levels of turbulence at the tubesheet caused by a rapidly turning flow. A prismatic flow corrections device introduced in the past helped in rectifying the problem at the tubesheet but exaggerated the erosion-corrosion problem at the first pass header shell. A number of alternative flow correction devices were tested using computational fluid dynamics. Axial ribbing in the first pass header and an inlet flow diffuser have shown the best performance and were recommended for implementation. Computational fluid dynamics simulations have revealed a smooth orderly low turbulence flow pattern in the second, third and fourth pass as well as the exit headers where no erosion-corrosion was seen in practice. This study has confirmed that near-wall turbulence intensity, which can be successfully predicted by using computational fluid dynamics, is a good hydrodynamic predictor of erosion-corrosion damage in complex geometries. (c) 2006 Published by Elsevier Ltd.

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In recent years structured packings have become more widely used in the process industries because of their improved volumetric efficiency. Most structured packings consist of corrugated sheets placed in the vertical plane The corrugations provide a regular network of channels for vapour liquid contact. Until recently it has been necessary to develop new packings by trial and error, testing new shapes in the laboratory. The orderly repetitive nature of the channel network produced by a structured packing suggests it may be possible to develop improved structured packings by the application of computational fluid dynamics (CFD) to calculate the packing performance and evaluate changes in shape so as to reduce the need for laboratory testing. In this work the CFD package PHOENICS has been used to predict the flow patterns produced in the vapour phase as it passes through the channel network. A particular novelty of the approach is to set up a method of solving the Navier Stokes equations for any particular intersection of channels. The flow pattern of the streams leaving the intersection is then made the input to the downstream intersection. In this way the flow pattern within a section of packing can be calculated. The resulting heat or mass transfer performance can be calculated by other standard CFD procedures. The CFD predictions revealed a circulation developing within the channels which produce a loss in mass transfer efficiency The calculations explained and predicted a change in mass transfer efficiency with depth of the sheets. This effect was also shown experimentally. New shapes of packing were proposed to remove the circulation and these were evaluated using CFD. A new shape was chosen and manufactured. This was tested experimentally and found to have a higher mass transfer efficiency than the standard packing.

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This research project examined the feasibility of using a cavity transfer mixer (CTM) as a continuous reactor to perform reactions between either solid or liquid reagents and polymer melt; reactions which have previously been typically carried out in batch reactor systems. Equipment has been developed to allow uniform and reproducible introduction of reagents into the polymer melt. Reactions have also been performed using batch processing equipment to enable comparison with the performance of the CTM. It was concluded that: a) there are certain reactions which cannot be carried out in a CTM, but which can be performed in a batch system such as a mill or a sigma blade mixer. This was found to be the case for some neutralisation reactions where the product was quasi crosslinked. b) the reactions that can be carried out in a CTM are performed more efficiently in a CTM than on a batch process. For example, when monomers were to be grafted onto polymers, this was more safely and efficiently performed in the CTM than in a mill or a sigma blade mixer. Residence time distributions (RTDs) for three CTMs were studied in order to gain an insight into the effect of CTM geometry on RTD, polymer melt flow pattern and reactor performance. A mathematical model has been developed to predict the influence of process parameters on RTD and the results compared with experimentally observed trends. The comparison was good. A programme of research has been drawn up to form the basis of an industrially based sponsored development project of the CTM reactor. This work programme was successfully marketed to companies with commercial interest in modified rubber and plastics as an integral part of the research programme of this thesis and the sponsored research programme has paralleled the work reported here.

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When Recurrent Neural Networks (RNN) are going to be used as Pattern Recognition systems, the problem to be considered is how to impose prescribed prototype vectors ξ^1,ξ^2,...,ξ^p as fixed points. The synaptic matrix W should be interpreted as a sort of sign correlation matrix of the prototypes, In the classical approach. The weak point in this approach, comes from the fact that it does not have the appropriate tools to deal efficiently with the correlation between the state vectors and the prototype vectors The capacity of the net is very poor because one can only know if one given vector is adequately correlated with the prototypes or not and we are not able to know what its exact correlation degree. The interest of our approach lies precisely in the fact that it provides these tools. In this paper, a geometrical vision of the dynamic of states is explained. A fixed point is viewed as a point in the Euclidean plane R2. The retrieving procedure is analyzed trough statistical frequency distribution of the prototypes. The capacity of the net is improved and the spurious states are reduced. In order to clarify and corroborate the theoretical results, together with the formal theory, an application is presented

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As is well known, the Convergence Theorem for the Recurrent Neural Networks, is based in Lyapunov ́s second method, which states that associated to any one given net state, there always exist a real number, in other words an element of the one dimensional Euclidean Space R, in such a way that when the state of the net changes then its associated real number decreases. In this paper we will introduce the two dimensional Euclidean space R2, as the space associated to the net, and we will define a pair of real numbers ( x, y ) , associated to any one given state of the net. We will prove that when the net change its state, then the product x ⋅ y will decrease. All the states whose projection over the energy field are placed on the same hyperbolic surface, will be considered as points with the same energy level. On the other hand we will prove that if the states are classified attended to their distances to the zero vector, only one pattern in each one of the different classes may be at the same energy level. The retrieving procedure is analyzed trough the projection of the states on that plane. The geometrical properties of the synaptic matrix W may be used for classifying the n-dimensional state- vector space in n classes. A pattern to be recognized is seen as a point belonging to one of these classes, and depending on the class the pattern to be retrieved belongs, different weight parameters are used. The capacity of the net is improved and the spurious states are reduced. In order to clarify and corroborate the theoretical results, together with the formal theory, an application is presented.

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There have been multifarious approaches in building expert knowledge in medical or engineering field through expert system, case-based reasoning, model-based reasoning and also a large-scale knowledge-based system. The intriguing factors with these approaches are mainly the choices of reasoning mechanism, ontology, knowledge representation, elicitation and modeling. In our study, we argue that the knowledge construction through hypermedia-based community channel is an effective approach in constructing expert’s knowledge. We define that the knowledge can be represented as in the simplest form such as stories to the most complex ones such as on-the-job type of experiences. The current approaches of encoding experiences require expert’s knowledge to be acquired and represented in rules, cases or causal model. We differentiate the two types of knowledge which are the content knowledge and socially-derivable knowledge. The latter is described as knowledge that is earned through social interaction. Intelligent Conversational Channel is the system that supports the building and sharing on this type of knowledge.

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Report published in the Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, May, 2014

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The conventional, geometrically lumped description of the physical processes inside a high shear granulator is not reliable for process design and scale-up. In this study, a compartmental Population Balance Model (PBM) with spatial dependence is developed and validated in two lab-scale high shear granulation processes using a 1.9L MiPro granulator and 4L DIOSNA granulator. The compartmental structure is built using a heuristic approach based on computational fluid dynamics (CFD) analysis, which includes the overall flow pattern, velocity and solids concentration. The constant volume Monte Carlo approach is implemented to solve the multi-compartment population balance equations. Different spatial dependent mechanisms are included in the compartmental PBM to describe granule growth. It is concluded that for both cases (low and high liquid content), the adjustment of parameters (e.g. layering, coalescence and breakage rate) can provide a quantitative prediction of the granulation process.

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The purpose of this study was to demonstrate if the academic assistance program Supplemental Instruction (SI) facilitates the acquisition of effective study behaviors through strategies that transcend simple double-exposure to the course material. Its advocates claim it increases academic achievement using learner-centered knowledge and acquisition of effective study behaviors. SI sessions are specifically related to particular courses that students are taking. Sessions are facilitated by the SI leader who has taken the subject matter course in the past. Students review the content of the previous subject matter class using collaborative learning strategies coordinated by a SI leader. In addition, the SI leader models appropriate study behaviors in his or her interactions with the students. ^ An instructor at a large Florida community college who taught five classes of an Anatomy & Physiology I course (traditionally supported by SI) was identified. Two of the classes were randomly selected to participate in SI activities, and two classes were random chosen to participate in alternate, computer-based activities that dealt with the course content, but did not include work in developing students' study behaviors. These treatments were carried out over the course of an entire semester. Participation was mandatory. ^ Data were collected on two variables. Academic achievement in anatomy and physiology content was measured both pre- and post-treatment using an instructor developed examination. Student study behaviors were measured using pre- and post-treatment administration of the Study Behavior Inventory, a valid and reliable instrument that provides scores on three categories of study behaviors: (a) Academic self-efficacy, (b) Preparation for routine academic tasks, and (c) Preparation for long range academic tasks. Measures obtained at the end of the semester of treatment revealed no significant differences between the SI and alternative treatment groups in post-treatment achievement test score and the post-treatment scores on the three study behaviors categories when adjusted for pre-treatment scores. ^ These results suggest that the development of appropriate study behaviors requires more time than SI, as it is now implemented, can provide. In addition, results indicate that improved academic achievement may be attained through any number of means that include repeated exposure to course material. ^

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This thesis was elaborated in the scenario of Digital Metropolis Institute (IMD) – a supplementary unit at the Federal University of Rio Grande do Norte in the training of personnel with technical and higher level courses whose technical level training is associated with a process of digital inclusion, with the purpose of attracting young people to this area, with emphasis on Software and Hardware Development. It aims to investigate the cognitive change of young apprentice on technological education and his/her entrance into the labor market, through the formation and the social inclusion proposed by the Instituto Metrópole Digital; understanding the juvenile subjectivity production through the Instituto Metrópole Digital’s education by performance in the labor market; recognizing the Brazilian professional qualification public policies for youth and identifying the role of Tutoring in the learning process during the course of formation of the young apprentice of the technological education proposed by the Instituto Metrópole Digital.The clipping of the object of investigation was the process of cognitive change and constitution of subjectivity of the young apprentice in information technology (IT) in the IMD. It was searched support in theory Freireana as proposal that problematizes the policies and the process of formation and professional qualification, in the perspective of a citizen and liberating consciousness. By qualitative and ethnographic nature, descriptive-explanatory, it counts with the participation of young people, high school students from public and private schools, aged between 15 and 18 years. There are strong aspects: a cognitive change on the young apprentice of technological education onto overdrive high school as the student of the Instituto Metrópole Digital; it happened the social integration for those who remain in the course, both in the neighborhood where they reside and at school where he attended high school, the young man is recognized and becomes reference to other young, favoring him a life projection which when the activities of mentoring is learning motivator, it exerts a positive influence to the young on the continuity of studies, it provides intellectual and institutional affiliation and continuity in the investments to the academic life for a better insertion in the labor market, which refers to the modification of the life project-invest in academic training, in exchange for a technical job in the labor market. There are weak aspects: the absence of professor in the course, in his most important role, which involves awareness of his/her condition in action, in explicit position that the professional practice constitutes as this constitution requires reciprocity of its students and the context in which it operates; fragile formation of mentoring, absence of dialogues in the classroom that favors the formation of subject learning, mainly in guiding action, mediator of the young; There is a lack of methodological proposal to develop real projects on the labor market with problem solving and collaborative learning. It considers that without converting information into knowledge cannot discern clearly enough that there is no direct causal relationship between Professional and technological Education and the level of employability of the young worker certificate. It suggests to the evasion: a greater knowledge of the reality of the student of the Institute Metropolis Digital; better knowledge of youth and their expectations of life project; the Tutoring will be Teacher-tutor; investing in employability conditions effective the young into the labor market.

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Nowadays the Distance Learning (DL) is in its fifth generation and New Information and Communication Technologies (NICT) mediate it. In this technological context it is then called Distance e-Learning (DeL). DeL has also in the e-books a potential interactive tool to the collaborative learning. So, this study was accomplished with the purpose of analyzing the e-books developed by SEDIS – Secretaria de Educação a Distância (Department of Distance Learning). This study was performed in two phases: Firstly it was done an exploratory study to check out the reading and the handling of digital e-learning material available to the student-users. These e-books are obtainable on SEDIS Moodle platform. Secondly, it was performed some analysis of an e-book sample by means of the heuristic evaluation. This research aims both to identify potential problems and give some suggestions to solve them. At last it is presented a final report with diagnosis and suggestions for a more applicable design in order to optimize the e-book by means of the distance e-learning usability guidelines