Emergência de comportamentos autônomos na aprendizagem da língua estrangeira a partir da interface da consciência linguageira e da motivação

Esta pesquisa situa-se entre os estudos da Consciência Linguageira e a formação de comportamentos autônomos com influência do fator motivacional em aprendentes do Inglês como língua estrangeira. Considerando a relevância da explicitude dos insumos complexos e da Consciência Linguageira na instrução, observei que, ao utilizar esses princípios, o docente pode favorecer em seus aprendentes a formação de comportamentos que os levem a um maior controle de sua própria aprendizagem. Desta forma, o presente estudo tem como objetivos verificar a correlação entre Consciência Linguageira, autonomização e motivação como aspecto subliminar. O embasamento teórico deste estudo respalda-se essencialmente nas contribuições de Little (1997), Flavell (1976), Donmall (1991), Hawkings (2001), James; Garret (1991), Benson (2001), Rutherford (1987) e Van Lier (1991). Concomitantemente à investigação bibliográfica foi desenvolvida uma pesquisa - ação a fim de compreender o processo de apropriação do insumo pelo aprendente adulto, formulando hipóteses e valorizando o contexto dinâmico da sala de aula para intervir na melhoria da aprendizagem. A observação e a coleta de dados ocorreram em uma turma do 6º nível de língua inglesa, dos Cursos Livres de Línguas Estrangeiras, da Universidade Federal do Pará. Os dados procedentes das entrevistas, questionários, observações e atividades de foco na forma demonstraram que diante de situações em que o insumo linguístico apresentava maior complexidade, as produções orais e escritas ficavam comprometidas e havia menor participação dos aprendentes nas atividades de conversação. Observei ainda, que as atividades de Foco na Forma, a explicitude e as reflexões conduzidas por meio de metalinguagem aproximaram os alunos da solução de dificuldades ante os insumos complexos, e os motivaram a buscar, autonomamente, diferentes alternativas de aprendizagem. Os dados foram cruzados para as análises a respeito das implicações da Consciência Linguageira no desenvolvimento de comportamentos autônomos e da motivação sobre o desempenho dos aprendentes, permitindo uma reflexão relativa ao tema e aos insights significativos para a solução de problemas oriundos da imprevisibilidade do contexto em sala de aula.

Vocabulário controlado para arquivos: análise de viabilidade e propostas

Pós-graduação em Ciência da Informação - FFC

Vocabulário controlado para arquivos: análise de viabilidade e propostas

Pós-graduação em Ciência da Informação - FFC

Observations from the Balcony: Directions for Pediatric Health Disparities Research and Policy

In 2002, the Institute of Medicine released Unequal Treatment: Confronting Racial and Ethnic Disparities in Healthcare, a landmark monograph documenting health disparities in the U.S. health care system. Since the publication of Unequal Treatment, the field of pediatric health disparities research has advanced significantly with a proliferation of studies examining a wide array of topics concerning inequities in child health. Advances in health care policy and legislation have also added to a heightened discourse on pediatric health disparities. While there has been substantial activity in efforts to address pediatric health disparities, questions remain regarding whether these efforts have changed the trajectory of health equity among children. The aim of this paper is to examine the practical challenges of addressing pediatric health disparities in the dynamic context of global changes in health care research, policy, and legislation relevant to children. Using the Adaptive Leadership framework, this paper outlines a conceptual model for assessing the scope of progress made in addressing pediatric health disparities, diagnoses the continued adaptive challenges of pediatric health disparities, and provides an agenda for further work and future investment.

A formação do administrador e o papel da empresa júnior: caso FGV/EAESP

Empresas inseridas em um contexto competitivo e dinâmico buscam, por meio de diversas formas e estratégias, sobressaírem sobre as demais. Diferente de como era compreendido, o ambiente de trabalho considera que o empregado não se limita mais a receber e executar instruções. Hoje, esse profissional é valorizado pelas suas competências e, mais ainda, pela forma como ele as mobiliza. Nesse contexto, o presente estudo buscou analisar a percepção dos alunos da FGV-EAESP sobre como a formação diferenciada, por meio da atuação em empresa júnior, contribui no desenvolvimento de competências profissionais do formando em administração de empresas. Foi utilizado como aporte teórico a literatura sobre aprendizagem e competências. Metodologicamente, a pesquisa possui uma abordagem qualitativa e interpretativista. A coleta de dados foi realizada por meio de entrevistas, de forma semiestruturadas, com trinta e um respondentes, composto por alunos e egressos da Instituição de Ensino. Para a análise dos dados coletados, foi utilizado a técnica de análise de conteúdo, gerando catorze categorias intermediárias e cinco categorias finais. Como resultados, foram identificados, objetivamente, como se dá aprendizagem e desenvolvimento de competências profissionais dentro do contexto de aprendizagem proporcionado pela EJ, bem como quais delas são relevantes para atuação no mercado de trabalho.

Measuring market power in electricity generation: A long-term perspective using a programming model

This paper focuses on measuring the extent to which market power has been exercised in a recently deregulated electricity generation sector. Our study emphasises the need to consider the concept of market power in a long-run dynamic context. A market power index is constructed focusing on differences between actual market returns and long-run competitive returns, estimated using a programming model devised by the authors. The market power implications of hedge contracts are briefly considered. The state of Queensland Australia is used as a context for the analysis. The results suggest that generators have exercised significant market power since deregulation.

Management processes in marketing planning

There has been concern in the literature about the adequacy of the traditional model of marketing planning, which focuses on what decisions should be made and not on how to make them. The aim of this article is a new conceptualisation that proposes key management processes about how marketing planning decisions are made in a dynamic context. The motives for this conceptualisation are to contribute to understanding by advancing the traditional model of marketing planning, to stimulate academic and practitioner debate about how marketing planning decisions are made, and to initiate new directions in marketing planning research. Two new competing models of marketing planning are developed, which address key management processes about how marketing planning decisions are made in a dynamic context, and research directions are proposed.

ToPI - uma abordagem online para identificar locais de interesse utilizando fotografias geo-referenciadas

Due to the growing use of social networks people no longer just consume data, they also produce and share it. Geo-tagged information, i.e., data with geographical location, have been used in many attempts to identify popular places and help tourists that will visit unfamiliar cities. This Master Thesis presents an online strategy that uses geo-tagged photos and their metadata in order to identify places of interest inside a given geographical area and retrieve relevant related information. The whole process runs automatically in real time, returning updated information about places. The proposed strategy takes into account the inherent dynamism of social media, and thus is robust under inconsistencies and/or outdated information, a common issue in solutions that rely on previously stored data. The analysis of the results showed that our approach is very promising, returning places that present high agreement with those from a popular travel website.

Challenges for a shared European countryside of uncertain future. Towards a modern community based landscape perspective

This paper addresses current changes in the highly diverse European landscape, and the way these transitions are being treated in policy and landscape management in the fragmented, heterogeneous and dynamic context of today’s Europe. It appears that intersecting driving forces are increasing the complexity of European landscapes and causing polarising developments in agricultural land use, biodiversity conservation and cultural landscape management. On the one hand, multifunctional rural landscapes, especially in peri-urban regions, provide services and functions that serve the citizens in their demand for identity, support their sense of belonging and offer opportunities for recreation and involvement in practical landscape management. On the other hand, industrial agricultural production on increasingly large farms produces food, feed, fibre and energy to serve expanding international markets with rural live ability and accessibility as a minor issue. The intermediate areas of traditionally dominant small and family farms in Europe seem to be gradually declining in profitability. The paper discusses the potential of a governance approach that can cope with the requirement of optimising land-sharing conditions and community-based landscape development, while adapting to global market conditions.

Dynamic delta hedging of autocallables under a discrete rebalancing context

This work tests different delta hedging strategies for two products issued by Banco de Investimento Global in 2012. The work studies the behaviour of the delta and gamma of autocallables and their impact on the results when delta hedging with different rebalancing periods. Given its discontinuous payoff and path dependency, it is suggested the hedging portfolio is rebalanced on a daily basis to better follow market changes. Moreover, a mixed strategy is analysed where time to maturity is used as a criterion to change the rebalancing frequency.

Improving the risk concept: a revision of Arrow-Pratt theory in the context of controlled dynamic stochastic environments

In the literature on risk, one generally assume that uncertainty is uniformly distributed over the entire working horizon, when the absolute risk-aversion index is negative and constant. From this perspective, the risk is totally exogenous, and thus independent of endogenous risks. The classic procedure is "myopic" with regard to potential changes in the future behavior of the agent due to inherent random fluctuations of the system. The agent's attitude to risk is rigid. Although often criticized, the most widely used hypothesis for the analysis of economic behavior is risk-neutrality. This borderline case must be envisaged with prudence in a dynamic stochastic context. The traditional measures of risk-aversion are generally too weak for making comparisons between risky situations, given the dynamic �complexity of the environment. This can be highlighted in concrete problems in finance and insurance, context for which the Arrow-Pratt measures (in the small) give ambiguous.

Improving the effort concept: a revision of the traditional approach in the context of controlled Dynamic Stochastic Environments

The objective of this paper is to re-evaluate the attitude to effort of a risk-averse decision-maker in an evolving environment. In the classic analysis, the space of efforts is generally discretized. More realistic, this new approach emploies a continuum of effort levels. The presence of multiple possible efforts and performance levels provides a better basis for explaining real economic phenomena. The traditional approach (see, Laffont, J. J. & Tirole, J., 1993, Salanie, B., 1997, Laffont, J.J. and Martimort, D, 2002, among others) does not take into account the potential effect of the system dynamics on the agent's behavior to effort over time. In the context of a Principal-agent relationship, not only the incentives of the Principal can determine the private agent to allocate a good effort, but also the evolution of the dynamic system. The incentives can be ineffective when the environment does not incite the agent to invest a good effort. This explains why, some effici

Some Dynamic Generalized Information Measures In The Context Of Weighted Models

In this paper, we study some dynamic generalized information measures between a true distribution and an observed (weighted) distribution, useful in life length studies. Further, some bounds and inequalities related to these measures are also studied

Context Interchange as a Scalable Solution to Interoperating Amongst Heterogeneous Dynamic Services

Many online services access a large number of autonomous data sources and at the same time need to meet different user requirements. It is essential for these services to achieve semantic interoperability among these information exchange entities. In the presence of an increasing number of proprietary business processes, heterogeneous data standards, and diverse user requirements, it is critical that the services are implemented using adaptable, extensible, and scalable technology. The COntext INterchange (COIN) approach, inspired by similar goals of the Semantic Web, provides a robust solution. In this paper, we describe how COIN can be used to implement dynamic online services where semantic differences are reconciled on the fly. We show that COIN is flexible and scalable by comparing it with several conventional approaches. With a given ontology, the number of conversions in COIN is quadratic to the semantic aspect that has the largest number of distinctions. These semantic aspects are modeled as modifiers in a conceptual ontology; in most cases the number of conversions is linear with the number of modifiers, which is significantly smaller than traditional hard-wiring middleware approach where the number of conversion programs is quadratic to the number of sources and data receivers. In the example scenario in the paper, the COIN approach needs only 5 conversions to be defined while traditional approaches require 20,000 to 100 million. COIN achieves this scalability by automatically composing all the comprehensive conversions from a small number of declaratively defined sub-conversions.