897 resultados para Learning by Doing
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Higher Education Institutes (HEIs) of any country could be a source of providing professionals to the country in many fields. By doing so, HEIs could play a pivotal role in the economic growth of the country. In Pakistan, it seems that, in the wake of this realization, steps have been taken to reform Higher Education. Drawing on the Triple I model of educational change covering Initiation, Implementation and Institutionalization (Fullan, 2007) this study focuses on the planning and implementation of reforms in the Education system of Pakistan at higher education level that have been introduced by the Higher Education Commission (HEC) since its inception in 2002. Kennedy’s model of hierarchical subsystems affecting innovation and Chin and Benne’s (1985) description of strategies for implementing change also provided guidelines for analyzing the changes in education in the country to highlight the role that the authorities expect the language teacher to play in the process of implementing these changes. A qualitative method is followed in this study to gather data from English language teachers at three universities of the Khyber Pakhtunkhwa province of Pakistan. A questionnaire was developed to look into the perceptions of English language teachers regarding the impact of these reforms. This was followed up by interviews. Responses from 28 teachers were received through questionnaire out of which 9 teachers were interviewed for detailed analysis of their perceptions. Thematic Content analysis was used to analyze and interpret the data. Some of the most significant changes that the respondents reported knowledge of included the introduction of Semester System, extending the Bachelors degree to four years from two years, promotion of research culture, and increased teachers’ autonomy in classroom practices. Implications of these reforms for English teachers’ professional development were also explored. The data indicate that the teachers generally have a positive attitude towards the changes. However, the data also show concerns that teachers have about the practical effectiveness of these changes in improving English language teaching and learning in Pakistani Universities. Some of the areas of concern are worries regarding resources, the assessment system, the number of qualified teachers, and instability in the educational policy. They are concerned about the training facilities and quality of the professional training available to them. Moreover, they report that training opportunities for their professional development are not available to all the teachers equally. Despite the HEC claims of providing regular training opportunities, the majority of the teachers did not receive any formal training in the last three years, while some teachers were able to access these opportunities multiple times. Through the recent reforms HEC has empowered the teachers in conducting the learning/teacher processes but this extra power has reduced their accountability and they can exercise these powers without any check on them. This empowerment is limited to the classroom and there appears to be no or minimal involvement in decision making at the top level of policy making. Such lack of involvement in the policy decisions seems to be generating a lack of sense of ownership among the teachers (Fullan 2003a:6). Although Quality Enhancement Cells have been developed in the universities to assure the desired quality of education, they might need a more active role to contribute in achieving the level of enhancement in education expected from them. Based on the perceptions of the respondents of this study and the review of the relevant literature, it is argued that it is unlikely for the reforms to be institutionalized if teachers are not given the right kind of awareness at the initiation stage and are not prepared at the implementation stage to cope with the challenge of a complex process. The teachers participating in this study, in general, have positive and enthusiastic attitudes towards most of the changes, in spite of some reservations. It could also be interesting to see if the power centers of the Pakistani Higher Education appreciate this enthusiasm and channel it for a strong Higher Education system in the country.
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Ensemble Stream Modeling and Data-cleaning are sensor information processing systems have different training and testing methods by which their goals are cross-validated. This research examines a mechanism, which seeks to extract novel patterns by generating ensembles from data. The main goal of label-less stream processing is to process the sensed events to eliminate the noises that are uncorrelated, and choose the most likely model without over fitting thus obtaining higher model confidence. Higher quality streams can be realized by combining many short streams into an ensemble which has the desired quality. The framework for the investigation is an existing data mining tool. First, to accommodate feature extraction such as a bush or natural forest-fire event we make an assumption of the burnt area (BA*), sensed ground truth as our target variable obtained from logs. Even though this is an obvious model choice the results are disappointing. The reasons for this are two: One, the histogram of fire activity is highly skewed. Two, the measured sensor parameters are highly correlated. Since using non descriptive features does not yield good results, we resort to temporal features. By doing so we carefully eliminate the averaging effects; the resulting histogram is more satisfactory and conceptual knowledge is learned from sensor streams. Second is the process of feature induction by cross-validating attributes with single or multi-target variables to minimize training error. We use F-measure score, which combines precision and accuracy to determine the false alarm rate of fire events. The multi-target data-cleaning trees use information purity of the target leaf-nodes to learn higher order features. A sensitive variance measure such as f-test is performed during each node’s split to select the best attribute. Ensemble stream model approach proved to improve when using complicated features with a simpler tree classifier. The ensemble framework for data-cleaning and the enhancements to quantify quality of fitness (30% spatial, 10% temporal, and 90% mobility reduction) of sensor led to the formation of streams for sensor-enabled applications. Which further motivates the novelty of stream quality labeling and its importance in solving vast amounts of real-time mobile streams generated today.
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Dissertação de Mestrado apresentada no ISPA – Instituto Universitário para obtenção do grau de Mestre em Psicologia especialidade em Psicologia Social e das Organizações.
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That humans and animals learn from interaction with the environment is a foundational idea underlying nearly all theories of learning and intelligence. Learning that certain outcomes are associated with specific actions or stimuli (both internal and external), is at the very core of the capacity to adapt behaviour to environmental changes. In the present work, appetitive and aversive reinforcement learning paradigms have been used to investigate the fronto-striatal loops and behavioural correlates of adaptive and maladaptive reinforcement learning processes, aiming to a deeper understanding of how cortical and subcortical substrates interacts between them and with other brain systems to support learning. By combining a large variety of neuroscientific approaches, including behavioral and psychophysiological methods, EEG and neuroimaging techniques, these studies aim at clarifying and advancing the knowledge of the neural bases and computational mechanisms of reinforcement learning, both in normal and neurologically impaired population.
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One of the most visionary goals of Artificial Intelligence is to create a system able to mimic and eventually surpass the intelligence observed in biological systems including, ambitiously, the one observed in humans. The main distinctive strength of humans is their ability to build a deep understanding of the world by learning continuously and drawing from their experiences. This ability, which is found in various degrees in all intelligent biological beings, allows them to adapt and properly react to changes by incrementally expanding and refining their knowledge. Arguably, achieving this ability is one of the main goals of Artificial Intelligence and a cornerstone towards the creation of intelligent artificial agents. Modern Deep Learning approaches allowed researchers and industries to achieve great advancements towards the resolution of many long-standing problems in areas like Computer Vision and Natural Language Processing. However, while this current age of renewed interest in AI allowed for the creation of extremely useful applications, a concerningly limited effort is being directed towards the design of systems able to learn continuously. The biggest problem that hinders an AI system from learning incrementally is the catastrophic forgetting phenomenon. This phenomenon, which was discovered in the 90s, naturally occurs in Deep Learning architectures where classic learning paradigms are applied when learning incrementally from a stream of experiences. This dissertation revolves around the Continual Learning field, a sub-field of Machine Learning research that has recently made a comeback following the renewed interest in Deep Learning approaches. This work will focus on a comprehensive view of continual learning by considering algorithmic, benchmarking, and applicative aspects of this field. This dissertation will also touch on community aspects such as the design and creation of research tools aimed at supporting Continual Learning research, and the theoretical and practical aspects concerning public competitions in this field.
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Universidade Estadual de Campinas. Faculdade de Educação Física
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The heartwood of candeia tree is a source of essential oil rich in alpha-bisabolol, a substance widely used in the cosmetic and pharmaceutical industry. Bearing in mind the economic importance of alpha-bisabolol, this work aimed to evaluate the influence of tree age on the yield and content of alpha-bisabolol present in essential oil from candeia, considering two distinct reliefs and three diameter classes, in Aiuruoca region, south Minas Gerais state. The two distinct reliefs correspond respectively to one section of the stand growing at 1,000m of altitude (Area 1) and another section growing at 1,100m of altitude (Area 2). In each section, 15 trees were felled from among 3 different diameter classes. Discs were removed from the base of each tree to estimate their age by doing growth ring count. Soil samples were taken and Subjected to physical and chemical analysis. The logs were reduced into chips and random samples were taken for distillation to extract essential oil. The method used was steam distillation at a pressure of 2 kgf/cm(2)/2.5 h. The chemical analysis was performed in a gas chromatograph (GC) based on the alpha-bisabolol standard reference. The yield of essential oil from trees in Area I was higher than that from trees in Area 2, with the same pattern of influence for older trees. In Area 2, the alpha-bisabolol content was higher in younger trees. No differences were found between the relevant parameters in relation to diameter classes.
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It has been claimed that the symptoms of post-traumatic stress disorder (PTSD) can be ameliorated by eye-movement desensitization-reprocessing therapy (EMD-R), a procedure that involves the individual making saccadic eye-movements while imagining the traumatic event. We hypothesized that these eye-movements reduce the vividness of distressing images by disrupting the function of the visuospatial sketchpad (VSSP) of working memory, and that by doing so they reduce the intensity of the emotion associated with the image. This hypothesis was tested by asking non-PTSD participants to form images of neutral and negative pictures under dual task conditions. Their images were less vivid with concurrent eye-movements and with a concurrent spatial tapping task that did not involve eye-movements. In the first three experiments, these secondary tasks did not consistently affect participants' emotional responses to the images. However, Expt 4 used personal recollections as stimuli for the imagery task, and demonstrated a significant reduction in emotional response under the same dual task conditions. These results suggest that, if EMD-R works, it does so by reducing the vividness and emotiveness of traumatic images via the VSSP of working memory. Other visuospatial tasks may also be of therapeutic value.
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Amyotrophic lateral sclerosis (ALS) is a progressive degenerative disorder affecting motoneurons and the SOD1(G93A) transgenic mice are widely employed to study disease physiopathology and therapeutic strategies. Despite the cellular and biochemical evidences of an early motor system dysfunction, the conventional behavioral tests do not detect early motor impairments in SOD1 mouse model. We evaluated early changes in motor behavior of ALS mice by doing the analyses of tail elevation, footprint, automatic recording of motor activities by means of an infrared motion sensor activity system and electrophysiological measurements in male and female wild-type (WT) and SOD1(G93A) mice from postnatal day (P) 20 up to endpoint. The classical evaluations of mortality, weight loss, tremor, rotometer, hanging wire and inclined plane were also employed. There was a late onset (after P90) of the impairments of classical parameters and the outcome varied between genders of ALS mice, being tremor, cumulative survival, weight loss and neurological score about 10 days earlier in male than female ALS mice and also about 20 days earlier in ALS males regarding rotarod and hanging wire performances. While diminution of hindpaw base was 10 days earlier in ALS males (P110) compared to females, the steep length decreased 40 days earlier in ALS females (P60) than ALS males. The automatic analysis of motor impairments showed substantial late changes (after P90) of motility and locomotion in the ALS females, but not in the ALS males. It was surprising that the scores of tail elevation were already decreased in ALS males and females by P40, reaching the minimal values at the endpoint. The electrophysiological analyses showed early changes of measures in the ALS mouse sciatic nerve, i.e., decreased values of amplitude (P40) and nerve conduction velocity (P20), and also an increased latency (P20) reaching maximal level of impairments at the late disease phase. The early changes were not accompanied by reductions of neuronal protein markers of neurofilament 200 and ChAT in the ventral part of the lumbar spinal cord of P20 and P60 ALS mice by means of Western blot technique, despite remarkable decreases of those protein levels in P120 ALS mice. In conclusion, early changes of motor behavior and electrophysiological parameters in ALS mouse model must be taken into attention in the analyses of disease mechanisms and therapeutic effects. (C) 2011 Published by Elsevier B.V.
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Admission controls, such as trunk reservation, are often used in loss networks to optimise their performance. Since the numerical evaluation of performance measures is complex, much attention has been given to finding approximation methods. The Erlang Fixed-Point (EFP) approximation, which is based on an independent blocking assumption, has been used for networks both with and without controls. Several more elaborate approximation methods which account for dependencies in blocking behaviour have been developed for the uncontrolled setting. This paper is an exploratory investigation of extensions and synthesis of these methods to systems with controls, in particular, trunk reservation. In order to isolate the dependency factor, we restrict our attention to a highly linear network. We will compare the performance of the resulting approximations against the benchmark of the EFP approximation extended to the trunk reservation setting. By doing this, we seek to gain insight into the critical factors in constructing an effective approximation. (C) 2003 Elsevier Ltd. All rights reserved.
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A questionnaire on lectures was completed by 351 students (84% response) and 35 staff (76% response) from all five years of the veterinary course at the University of Queensland. Staff and students in all five years offered limited support for a reduction in the number of lectures in the course and the majority supported a reduction in the number of lectures in the clinical years. Students in the clinical years only and appropriate staff agreed that the number of lectures in fifth year should be reduced but were divided as to whether lectures in fifth year should be abolished. There was limited support for replacement of some lectures by computer assisted learning (CAL) programs, but strong support for replacement of some lectures by subject-based problem based learning (PBL) and strong support for more self-directed learning by students. Staff and students strongly supported the inclusion of more clinical problem solving in lectures in the clinical years and wanted these lectures to be more interactive. There was little support for lectures in the clinical years to be of the same type as in the preclinical years.
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O objetivo deste artigo ?? ampliar o conhecimento atual sobre os processos de aprendizado na implementa????o de pol??ticas p??blicas, procurando entender, em especial, os aspectos pol??ticos envolvidos nesses processos e como eles influenciam a evolu????o e os resultados dessas pol??ticas. Nesse sentido, com base em estudos de casos realizados sobre as pol??ticas industriais implementadas pelos estados da Bahia, do Cear?? e de Pernambuco nas ??ltimas d??cadas, conclui-se que o aprendizado de indiv??duos e grupos isoladamente dentro dos governos n??o parece garantir um efetivo aprendizado do governo na implementa????o de suas pol??ticas. Nos casos estudados, o aprendizado organizacional mostra-se como um processo no qual aspectos pol??ticos e cognitivos interagem sob as restri????es de arranjos institucionais espec??ficos. Esses aspectos pol??ticos tanto podem filtrar, retardar e at?? mesmo impedir a assimila????o organizacional do aprendizado de indiv??duos ou de grupos, como, outras vezes, podem aceler??-lo.
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One of the most efficient approaches to generate the side information (SI) in distributed video codecs is through motion compensated frame interpolation where the current frame is estimated based on past and future reference frames. However, this approach leads to significant spatial and temporal variations in the correlation noise between the source at the encoder and the SI at the decoder. In such scenario, it would be useful to design an architecture where the SI can be more robustly generated at the block level, avoiding the creation of SI frame regions with lower correlation, largely responsible for some coding efficiency losses. In this paper, a flexible framework to generate SI at the block level in two modes is presented: while the first mode corresponds to a motion compensated interpolation (MCI) technique, the second mode corresponds to a motion compensated quality enhancement (MCQE) technique where a low quality Intra block sent by the encoder is used to generate the SI by doing motion estimation with the help of the reference frames. The novel MCQE mode can be overall advantageous from the rate-distortion point of view, even if some rate has to be invested in the low quality Intra coding blocks, for blocks where the MCI produces SI with lower correlation. The overall solution is evaluated in terms of RD performance with improvements up to 2 dB, especially for high motion video sequences and long Group of Pictures (GOP) sizes.
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O crescente número de automóveis nas ruas das grandes cidades, assim como o crescente número de transportes urbanos para atender o crescimento das populações, veio fazer com que as cidades cada vez mais fiquem mais congestionadas e mais propícias para acidentes envolvendo viaturas e peões. Devido a isso, foram criados sistemas de controlo de tráfego capazes de melhorar o tráfego urbano nas cidades, sem deixar de lado as preocupações com os peões e nem com as emissões de poluentes para o ar. Baseado nesse cenário, este trabalho tem como objetivo abordar as possíveis soluções existentes no mercado para melhorar o fluxo das viaturas, principalmente dos transportes colectivos, com prioridades para viaturas de emergências e autocarros, assim como, as passagens de peões, e sistemas de mobilidade urbana. Desempenho do transporte público pode ser melhorado através de um melhor controlo e gerenciamento de tráfego em geral. Nos testes realizados em campo: foi medida a velocidade de viagem do autocarro no cruzamento fixo (Praça de Espanha), e correlacionando-os com intervalos do ciclo dos semáforos para este cruzamento. A flexibilidade do controlador actuando, com o auxílio de detectores de veículos, sendo capaz de variar os intervalos dentro do ciclo, bem como o volume de carros e de prestações em velocidade de viagem do autocarro. Resultados mostram que, durante o período em estudo, os benefícios de velocidade da viagem do autocarro, seria possível, através de um verdadeiro controlo de tempo feedback de cooperação entre as áreas urbanas de controlo de tráfego (Gertrude) e do sistema de localização de veículos de transportes públicos (SAEIP). Ao longo prazo, sugerimos a implantação de um sistema integrado. Fazendo com que o volume no carro seja reduzido. Este efeito leva também, a um aumento da velocidade comercial do autocarro urbano, da mesma forma como foi proposto em nossa experiência.
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O desenvolvimento dos sistemas de comunicações móveis tem vindo a ser cada vez maior, fazendo com que os sistemas funcionem em várias bandas de operação. Neste sentido, surge a necessidade de desenvolver antenas que superem aquelas já existentes, ao nível das suas propriedades electromagnéticas, para que os sistemas apresentem uma maior qualidade e possam corresponder às exigências inerentes ao desenvolvimento das sociedades. O objectivo desta dissertação de Mestrado é dimensionar, construir e medir uma antena multi-banda para comunicações móveis, com base em estruturas EBG (Electromagnetic Band-Gap) que melhorem o comportamento electromagnético daquelas já existentes, para a banda de frequências de 2.4 GHz e de 5.2 GHz. Começa-se por fazer-se um estudo acerca do estado da arte de estruturas EBG, muito utilizadas em várias áreas, nomeadamente a área das antenas, área sobre a qual esta dissertação assenta. Posteriormente é feita uma breve introdução às antenas microstrip, particularizando de seguida para antenas PIFA e as suas características. Posteriormente é feito o estudo de uma antena PIFA, com e sem a influência de estruturas EBG, para as bandas de 2.4 GHz e 5.2 GHz. Posteriormente são apresentados e comparados resultados das várias antenas. Da análise desses resultados, verifica-se que é possível obter uma antena de baixo perfil com a utilização de estruturas EBG como plano de massa. Além disso, verifica-se também que é possível diminuir a radiação traseira e aumentar a largura de banda. Finalmente, são apresentadas algumas conclusões e várias propostas de trabalho futuro.