864 resultados para Skill acquisition


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As the fidelity of virtual environments (VE) continues to increase, the possibility of using them as training platforms is becoming increasingly realistic for a variety of application domains, including military and emergency personnel training. In the past, there was much debate on whether the acquisition and subsequent transfer of spatial knowledge from VEs to the real world is possible, or whether the differences in medium during training would essentially be an obstacle to truly learning geometric space. In this paper, the authors present various cognitive and environmental factors that not only contribute to this process, but also interact with each other to a certain degree, leading to a variable exposure time requirement in order for the process of spatial knowledge acquisition (SKA) to occur. The cognitive factors that the authors discuss include a variety of individual user differences such as: knowledge and experience; cognitive gender differences; aptitude and spatial orientation skill; and finally, cognitive styles. Environmental factors discussed include: Size, Spatial layout complexity and landmark distribution. It may seem obvious that since every individual's brain is unique - not only through experience, but also through genetic predisposition that a one size fits all approach to training would be illogical. Furthermore, considering that various cognitive differences may further emerge when a certain stimulus is present (e.g. complex environmental space), it would make even more sense to understand how these factors can impact spatial memory, and to try to adapt the training session by providing visual/auditory cues as well as by changing the exposure time requirements for each individual. The impact of this research domain is important to VE training in general, however within service and military domains, guaranteeing appropriate spatial training is critical in order to ensure that disorientation does not occur in a life or death scenario.

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OBJETIVO: Embora vários modelos de bancada inanimados tenham sido descritos para o treinamento de habilidades de sutura, até o momento, não existe um método ideal para esse ensino e aprendizagem durante a formação médica. O objetivo foi avaliar se a fidelidade dos modelos de bancada interfere na aquisição de habilidades de sutura em estudantes de medicina iniciantes na prática cirúrgica. MÉTODOS: 36 estudantes de medicina sem exposição prévia a habilidades cirúrgicas foram randomizados em três grupos (n = 12): treinamento de suturas baseado em materiais didáticos (controle); treinamento de suturas em modelo de baixa-fidelidade (modelo de bancada de etileno vinil acetato); ou treinamento de suturas em modelo de alta-fidelidade (modelo de bancada de pele de pata de porco). Foram aplicados pré e pós-testes (realização de pontos simples e pontos subdérmicos invertidos em língua de boi). Três ferramentas (Global Rating Scale com avaliação cega, tamanho do efeito e autopercepção da confiança baseada em uma escala de Likert) foram utilizadas para mensurar todas as performances de sutura. RESULTADOS: A análise após o treinamento demonstrou que os estudantes que treinaram nos modelos tiveram um melhor (p < 0.0000) desempenho na avaliação pela Global Rating Scale, quando comparados com o controle, independente da fidelidade do modelo. A magnitude do efeito (treinamento) foi considerada grande (> 0.80) em todas as mensurações. Após o treinamento os alunos sentiram-se mais confiantes (p < 0.0000) para executarem os dois tipos de suturas. CONCLUSÃO: A aquisição de habilidades de suturas no modelo de baixa fidelidade foi semelhante à prática no modelo de alta fidelidade, sendo que a melhora no desempenho dos participantes que treinaram nesses dois modelos foi superior à aprendizagem baseada em materiais didáticos.

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An important part of human intelligence, both historically and operationally, is our ability to communicate. We learn how to communicate, and maintain our communicative skills, in a society of communicators – a highly effective way to reach and maintain proficiency in this complex skill. Principles that might allow artificial agents to learn language this way are in completely known at present – the multi-dimensional nature of socio-communicative skills are beyond every machine learning framework so far proposed. Our work begins to address the challenge of proposing a way for observation-based machine learning of natural language and communication. Our framework can learn complex communicative skills with minimal up-front knowledge. The system learns by incrementally producing predictive models of causal relationships in observed data, guided by goal-inference and reasoning using forward-inverse models. We present results from two experiments where our S1 agent learns human communication by observing two humans interacting in a realtime TV-style interview, using multimodal communicative gesture and situated language to talk about recycling of various materials and objects. S1 can learn multimodal complex language and multimodal communicative acts, a vocabulary of 100 words forming natural sentences with relatively complex sentence structure, including manual deictic reference and anaphora. S1 is seeded only with high-level information about goals of the interviewer and interviewee, and a small ontology; no grammar or other information is provided to S1 a priori. The agent learns the pragmatics, semantics, and syntax of complex utterances spoken and gestures from scratch, by observing the humans compare and contrast the cost and pollution related to recycling aluminum cans, glass bottles, newspaper, plastic, and wood. After 20 hours of observation S1 can perform an unscripted TV interview with a human, in the same style, without making mistakes.

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Behavioral and neurophysiological studies suggest that skill learning can be mediated by discrete, experience-driven changes within specific neural representations subserving the performance of the trained task. We have shown that a few minutes of daily practice on a sequential finger opposition task induced large, incremental performance gains over a few weeks of training. These gains did not generalize to the contralateral hand nor to a matched sequence of identical component movements, suggesting that a lateralized representation of the learned sequence of movements evolved through practice. This interpretation was supported by functional MRI data showing that a more extensive representation of the trained sequence emerged in primary motor cortex after 3 weeks of training. The imaging data, however, also indicated important changes occurring in primary motor cortex during the initial scanning sessions, which we proposed may reflect the setting up of a task-specific motor processing routine. Here we provide behavioral and functional MRI data on experience-dependent changes induced by a limited amount of repetitions within the first imaging session. We show that this limited training experience can be sufficient to trigger performance gains that require time to become evident. We propose that skilled motor performance is acquired in several stages: “fast” learning, an initial, within-session improvement phase, followed by a period of consolidation of several hours duration, and then “slow” learning, consisting of delayed, incremental gains in performance emerging after continued practice. This time course may reflect basic mechanisms of neuronal plasticity in the adult brain that subserve the acquisition and retention of many different skills.

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This paper proposes a comparison of skill formation in Germany and Britain over the last decades. Taking historical trends into account, the two cases can be regarded as representing different types of skill production regimes. Institu-tional features include a relatively low degree of standardization of training and a larger amount of on-the-job training in Britain. In Germany, post-compulsory training has been conducted predominantly within the dual system of vocational training, underlining the vocational specificity of a large part of the labor market. As a consequence, international differences in individual skill investments, transitions from school to work and other life-course patterns can be observed. At least in Britain, however, the situation seems to have changed considerably during the 1990s. The paper argues that the divergence in more recent developments can still be understood as an expression of historical path-dependency given the traditional connections between the post-compulsory training system and the broader societal context in which it is embedded. These concern, in particular, links with the system of general and academic education as the basis for – and also a possible competitor with – vocational training; links with the labor market as they are indicated by specific skill requirements and returns to qualifications; and, links with the order of social stratification in the form of the selective acquisition and the social consequences of these qualifications. The links manifest themselves as typical individual-level consequences and decisions. Founded on the basis of these distinctions, the aim of this paper is to investigate the preceding conditions for recent developments in the qualification systems of Britain and Germany, which have adapted to specific challenges during the last decades.

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A correlational study was designed to examine the general processing speed and orthographic processing speed accounts of the association between continuous naming speed and word reading skill in children from fourth to sixth grade. Children were given two tests of each of the following constructs: word reading skill, alphanumeric symbol naming speed, nonsymbol naming speed, alphanumeric processing speed, and nonsymbol processing speed. Results were not completely consistent with either the general processing speed or the orthographic processing speed accounts. Although an alphanumeric symbol processing efficiency component is clearly involved, it is argued that the particularly strong association between naming speed and word reading also reflects the efficiency of phonological processing in children of this age.

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A three-phase longitudinal study examined the origins of grammatical sensitivity and its usefulness as a predictor of early word-level reading. At about 4 years of age, children were given a range of language and cognitive tests. One year later, the children were given a further series of language and cognitive tests, this time including grammatical sensitivity, phonological sensitivity, and nonword repetition. Another year later, word-level reading achievement was assessed. Overall, grammatical sensitivity and phonological sensitivity were more firmly grounded in earlier language ability than in cognitive ability. Phonological sensitivity and nonword repetition showed reliable predictive associations with subsequent word reading skills. Grammatical sensitivity did not. (c) 2005 Elsevier Inc. All rights reserved.

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The professional success of future hospitality graduates will require that they have gone beyond the acquisition of contemporary industry knowledge and training in current best practices. Increasingly relevant hospitality education will emphasize skill development. Managerial thinking and renewal skills will be especially useful in an industry which is constantly changing.

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It has been reported that the cultural-historical experiences of ethnic group members can play a role in the literacy beliefs of those members. Socioeconomic conditions can also influence the belief system of the groups' constituents. This study investigated parents' and children's beliefs pertaining to early literacy acquisition as related to the ethnicity and socioeconomic status (SES) of the participants. The objectives were to determine (a) the differential patterns regarding emergent literacy and traditional skills approaches as they interact with ethnicity and SES and (b) the correspondence between parents and children's beliefs about literacy acquisition. ^ The study was conducted with 152 parents (38 low-income Hispanic, 38 middle-income Hispanic, 38 low-income African-American, and 38 middle-income African-American) and 36 of their 3-, 4-, or 5-year-old children (18 male and 18 female). ^ The parents were asked to check those items with which they agreed on a survey that consisted of an equal number of items from the traditional skills-based and emergent literacy orientations. These responses were used to determine the differences and interaction by ethnicity and SES. The children responded to open-ended questions related to the instruction of reading and writing skills. The parents' responses and children's answers were compared to ascertain the matching parent-child dyads by ethnicity and SES. ^ An item analysis was conducted to strengthen the internal reliability consistency coefficient of the traditional skills-based and emergent literacy scales as measured by the Cronbach Alpha. ^ A two-way multivariate analysis of variance (MANOVA) revealed a significant difference in traditional skill-based beliefs for the low-income African-American and Hispanic parents. There were no significant findings for the parents' traditional skill based or emergent literacy beliefs based on ethnicity, for the interaction between ethnicity and SES, or for the relationship between parents' and children's literacy beliefs by ethnicity and SES. ^ It can be concluded that low-income African-American and Hispanic parents believe in the traditional skills approach, indicating that these parents find it necessary for children to have sufficient school readiness skills prior to learning to read or write. In addition, the parent and child dyads had a strong tendency toward emergent literacy beliefs. ^

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In old, phosphorus (P)-impoverished habitats, root specializations such as cluster roots efficiently mobilize and acquire P by releasing large amounts of carboxylates in the rhizosphere. These specialized roots are rarely mycorrhizal. We investigated whether Discocactus placentiformis (Cactaceae), a common species in nutrient-poor campos rupestres over white sands, operates in the same way as other root specializations. Discocactus placentiformis showed no mycorrhizal colonization, but exhibited a sand-binding root specialization with rhizosheath formation. We first provide circumstantial evidence for carboxylate exudation in field material, based on its very high shoot manganese (Mn) concentrations, and then firm evidence, based on exudate analysis. We identified predominantly oxalic acid, but also malic, citric, lactic, succinic, fumaric, and malonic acids. When grown in nutrient solution with P concentrations ranging from 0 to 100 μM, we observed an increase in total carboxylate exudation with decreasing P supply, showing that P deficiency stimulated carboxylate release. Additionally, we tested P solubilization by citric, malic and oxalic acids, and found that they solubilized P from the strongly P-sorbing soil in its native habitat, when the acids were added in combination and in relatively low concentrations. We conclude that the sand-binding root specialization in this nonmycorrhizal cactus functions similar to that of cluster roots, which efficiently enhance P acquisition in other habitats with very low P availability.

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Plants that deploy a phosphorus (P)-mobilising strategy based on the release of carboxylates tend to have high leaf manganese concentrations ([Mn]). This occurs because the carboxylates mobilise not only soil inorganic and organic P, but also a range of micronutrients, including Mn. Concentrations of most other micronutrients increase to a small extent, but Mn accumulates to significant levels, even when plants grow in soil with low concentrations of exchangeable Mn availability. Here, we propose that leaf [Mn] can be used to select for genotypes that are more efficient at acquiring P when soil P availability is low. Likewise, leaf [Mn] can be used to screen for belowground functional traits related to nutrient-acquisition strategies among species in low-P habitats.

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Background and Purpose: Several different methods of teaching laparoscopic skills have been advocated, with virtual reality surgical simulation (VRSS) being the most popular. Its effectiveness in improving surgical performance is not a consensus yet, however. The purpose of this study was to determine whether practicing surgical skills in a virtual reality simulator results in improved surgical performance. Materials and Methods: Fifteen medical students recruited for the study were divided into three groups. Group I (control) did not receive any VRSS training. For 10 weeks, group II trained basic laparoscopic skills (camera handling, cutting skill, peg transfer skill, and clipping skill) in a VRSS laparoscopic skills simulator. Group III practiced the same skills and, in addition, performed a simulated cholecystectomy. All students then performed a cholecystectomy in a swine model. Their performance was reviewed by two experienced surgeons. The following parameters were evaluated: Gallbladder pedicle dissection time, clipping time, time for cutting the pedicle, gallbladder removal time, total procedure time, and blood loss. Results: With practice, there was improvement in most of the evaluated parameters by each of the individuals. There were no statistical differences in any of evaluated parameters between those who did and did not undergo VRSS training, however. Conclusion: VRSS training is assumed to be an effective tool for learning and practicing laparoscopic skills. In this study, we could not demonstrate that VRSS training resulted in improved surgical performance. It may be useful, however, in familiarizing surgeons with laparoscopic surgery. More effective methods of teaching laparoscopic skills should be evaluated to help in improving surgical performance.

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In this work we investigate knowledge acquisition as performed by multiple agents interacting as they infer, under the presence of observation errors, respective models of a complex system. We focus the specific case in which, at each time step, each agent takes into account its current observation as well as the average of the models of its neighbors. The agents are connected by a network of interaction of Erdos-Renyi or Barabasi-Albert type. First, we investigate situations in which one of the agents has a different probability of observation error (higher or lower). It is shown that the influence of this special agent over the quality of the models inferred by the rest of the network can be substantial, varying linearly with the respective degree of the agent with different estimation error. In case the degree of this agent is taken as a respective fitness parameter, the effect of the different estimation error is even more pronounced, becoming superlinear. To complement our analysis, we provide the analytical solution of the overall performance of the system. We also investigate the knowledge acquisition dynamic when the agents are grouped into communities. We verify that the inclusion of edges between agents (within a community) having higher probability of observation error promotes the loss of quality in the estimation of the agents in the other communities.

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PIBIC-CNPq-Conselho Nacional de Desenvolvimento Cientifico e Technologico