585 resultados para Richer


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O presente documento visa a reflexão sobre as práticas desenvolvidas ao longo do processo de estágio pedagógico, integrado no Mestrado em Ensino da Educação Física nos Ensinos Básico e Secundário, realizado na Escola Secundária Rainha Dona Leonor, no ano de 2014/2015. O estágio pedagógico caracteriza-se como o momento em que, em contexto real, sob supervisão pedagógica, se aplicam as aprendizagens adquiridas nos anos de formação transatos, com vista ao desenvolvimento de competências a utilizar na futura carreira docente. Este relatório constitui-se como o produto do progresso constatado ao longo de todo o percurso. O professor deve ser entendido como elemento fundamental no processo de ensino-aprendizagem mas não apenas no contexto de sala de aula, uma vez que é parte integrante da organização escolar, possibilitando aprendizagens de várias índoles. Por outro lado, como professor estagiário, a procura por várias experiências educativas garante um processo formativo mais rico, possibilitando um conjunto de soluções futuramente aplicáveis. A definição de prioridades ao longo de todo o processo de formação, possibilitaram um desenvolvimento progressivo nomeadamente ao nível do planeamento e condução de ensino, facilitando consequentemente as aprendizagens dos alunos.

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Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Matemática, Programa de Mestrado Profissional em Matemática em Rede Nacional, 2016.

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Generating sample models for testing a model transformation is no easy task. This paper explores the use of classifying terms and stratified sampling for developing richer test cases for model transformations. Classifying terms are used to define the equivalence classes that characterize the relevant subgroups for the test cases. From each equivalence class of object models, several representative models are chosen depending on the required sample size. We compare our results with test suites developed using random sampling, and conclude that by using an ordered and stratified approach the coverage and effectiveness of the test suite can be significantly improved.

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The study aimed to develop a richer understanding of how employees perceive organizational politics in contemporary organizational contexts, and to identify whether organizational politics is described in both positive and negative terms. Design/methodology/approach: Individual in-depth interviews were conducted using Interpretative Phenomenological Analysis with 14 employees across three organizations. Findings: Participants’ perceptions of organizational politics were interpreted according to four levels: reactive, reluctant, strategic, and integrated. The four levels captured how individuals defined, described, and perceived outcomes of organizational politics. Definitions included organizational politics as destructive and manipulative (reactive), as a necessary evil (reluctant), as a useful strategy that helps get things done (strategic), and as central to organizational functioning and decision-making (integrated). Political behaviors were described in terms that correspond to five established bases of organizational power: connection power, information power, coercive power, positional power, and personal power. Descriptions of organizational politics encompassed positive and negative individual and organizational outcomes. Implications: Traditional negatively framed definitions of organizational politics need to be extended and elaborated. Definitions of organizational politics need to accommodate a range of understandings. Originality/value: Despite numerous calls for qualitative research regarding organizational politics, this is one of very few qualitative studies in this area. The proposed classifications of levels, definitions, and behaviors complement and extend existing conceptualizations of organizational politics. We contribute an understanding of organizational politics that is more balanced than existing negatively skewed conceptualizations and that will have implications for measurement and management of organizational politics.

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This chapter reports on the development of language awareness and second language identities of a cohort of Chinese TESOL teachers that arose as a result of incidental classroom interactions during a TESOL Masters course in Australia. The experiences of such interactions appeared to help the Chinese teachers make stronger connections between form and meaning, and, while they also reflected deeply on the pedagogies of grammar, they gained a wider view of language teaching and learning that included pragmatic and sociolinguistic awareness. The impact of cultural and educational exchanges and the resulting formations of second language identities is an emerging focus of research (Benson, Barkhuizen, Bodycott and Brown, 2013). In the field of TESOL, such movements and exchanges are creating opportunities to develop a richer discourse, by drawing on diverse traditions of professionalism in different communities and contexts, and calls are increasingly being made for a plural professional knowledge and more inclusive relationships (Canagarajah, 2005; Holliday, 2005; Widdowson, 2004). The People’s Republic of China has been one of the major contributors to student and teacher mobility in recent years; English language is now a priority subject in China, and all students entering university must take the English college test whether they intend to major in English or not, and therefore there has been much interest in upskilling cohorts of Chinese teachers of English to meet this demand. An increasingly typical initiative is to award scholarships to gain professional qualifications in English-speaking countries. A cohort of English teachers from Jiangsu province, China, is the focus of the present study. During their Masters in TESOL course in Queensland, Australia, they experienced interactions with native speakers inside and outside of the classroom. As their course lecturer for several TESOL units, I was interested in the nature of the incidental language awareness arising from course activities with their native-speaking peers. I was also interested in whether they felt that these experiences had implications for their sense of identity in a second language. The following sections therefore discuss the key themes: interaction in higher education contexts, language awareness, and second language identities.

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Purpose – This paper seeks to examine the disempowering and/or empowering role of accounting in the context of Indigenous Australians.

Design/methodology/approach – A total of thirty-one interviewees participated in this study, which included eighteen self-identified Indigenous Australians and thirteen non- Indigenous Australians. A qualitative research methodology, and in particular an oral history method, was chosen because of its ability to support a deeper and richer form of inquiry. Bourdieu's concepts provide the framework for mobilizing and analysing the findings of this study.

Findings – The damaging role of accounting in the context of Indigenous peoples has largely stemmed from non-Indigenous peoples providing accounting services for Indigenous peoples. The evidence and analysis provided by this study postulates a constructive way forward of accounting’s role in contributing to the empowerment of Indigenous Australians.Research

limitations/implications – Limitations include being a non-Indigenous researcher conducting research in an Indigenous context, which may have prevented some interviewees from feeling comfortable to openly share their experiences and insights.

Practical implications - As this study’s findings have supported the theory that accounting skills can be used in an empowering way when used ‘by’ Indigenous peoples, Indigenous Australians should be actively supported by the accounting bodies to gain the qualifications needed for membership of the accounting profession.

Originality/value - This study contributes to the expanding accounting literature that locates the role of accounting in the context of Indigenous peoples by proposing accounting as a tool of empowerment.

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Hierarchical Dirichlet processes (HDP) was originally designed and experimented for a single data channel. In this paper we enhanced its ability to model heterogeneous data using a richer structure for the base measure being a product-space. The enhanced model, called Product Space HDP (PS-HDP), can (1) simultaneously model heterogeneous data from multiple sources in a Bayesian nonparametric framework and (2) discover multilevel latent structures from data to result in different types of topics/latent structures that can be explained jointly. We experimented with the MDC dataset, a large and real-world data collected from mobile phones. Our goal was to discover identity–location– time (a.k.a who-where-when) patterns at different levels (globally for all groups and locally for each group). We provided analysis on the activities and patterns learned from our model, visualized, compared and contrasted with the ground-truth to demonstrate the merit of the proposed framework. We further quantitatively evaluated and reported its performance using standard metrics including F1-score, NMI, RI, and purity. We also compared the performance of the PS-HDP model with those of popular existing clustering methods (including K-Means, NNMF, GMM, DP-Means, and AP). Lastly, we demonstrate the ability of the model in learning activities with missing data, a common problem encountered in pervasive and ubiquitous computing applications.

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In the last 20 years, India has witnessed visible, and often acrimonious, contests between global and local, modernity and tradition, markets and the State. The economic domain has seen a shift from a protected capitalist economy that tried to mix planning with a market-based economy, to a regime increasingly marked by neoliberalism and declining welfare state. This is a period of high economic growth, prosperity for some groups, and an increase in inequality levels in the country. We also witness an ongoing agrarian crisis in rural India, where the majority lives, contributing to more than 200,000 farm suicides in the last two decades. In the political domain, there is a distinct rightward shift with an unprecedented rise of Hindu majoritarianism that has recently culminated in the elevation of Narendra Modi to the post of Prime Minister. On the one hand, the new India is trying to be assertive as it tries to find its place as a global power and is stridently militaristic in its geopolitical interactions. On the other hand, it is trying to integrate into the global capitalist economy to catch up with the richer nations of the world as it strives for greater growth. In the socio-cultural sphere, marketization comes mixed with emphases on Hindu notions of good life and India’s mythical past, as the country witnesses a heady cocktail of religion and neoliberal capitalism that defines its political economy.

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My dissertation emphasizes the use of narrative structuralism and narrative theories about storytelling in order to build a discourse between the fields of New Media and Rhetoric and Composition. Propp's morphological analysis and the breaking down of stories into component pieces aides in the discussion of storytelling as it appears in and is mediated by digital and computer technologies. New Media and Rhetoric and Composition are aided by shared concerns for textual production and consumption. In using the notion of "kairotic reading" (KR), I show the interconnectedness and interdisciplinarity required in the development of pedagogy utilized to teach students to develop into reflective practitioners that are aware of their rhetorical surroundings and can made sound judgments concerning their own message generation and consumption in the workplace. KR is a transferable skill that is beneficial to students and teachers alike. The dissertation research utilizes theories of New Media and New Media-influenced practitioners, including Jenkins' theory of convergence, Bourdieu's notion of taste, Gee's term "semiotic domains," and Manovich's "modification." These theoretical pieces are combined in order to show how KR can be extended by convergent narrative practices. In order to build connections with New Media, the consideration and inclusion of Kress and van Leeuwen's multimodality, Selber's "reflective practitioners," and Selfe's definition of multimodal composing allow for a greater establishment of conversation order to create a richer conversation around the implications of metacognitive development and practitioner reflexivity with scholars in New Media. My research also includes analysis of two popular media franchises Deborah Harkness' A Discovery of Witches and Fox's Bones television series to show similarities and differences among convergence-linked and multimodal narratives. Lastly, I also provide example assignments that can be taken, further developed, and utilized in classrooms engaging in multimodal composing practices. This dissertation pushes consideration of New Media into the work already being performed by those in Rhetoric and Composition.

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Although natural gas has been praised as a clean and abundant energy source, the varying impacts and uncertainties surrounding the process of extracting natural gas from unconventional sources, known as horizontal high-volume hydraulic fracturing (HVHF) or “fracking,” have raised important concerns. The practice of HVHF is expanding so quickly that the full impacts are not yet known. This thesis project, using a grounded theory methodological approach, explores the risks and benefits associated with HVHF as recognized by the residents of two Michigan counties, one that currently produces natural gas by HVHF (Crawford County) and one that does not (Barry County). Through an analysis of media content related to HVHF in each case study site and interviews with stakeholders in both counties, this study examines perceptions of risks and benefits by comparing two communities that differ in their level of experience with HVHF operations, contributing to our understanding of how perceptions of risks and benefits are shaped by natural gas development. The comparative analysis of the case study counties revealed similarities and differences between the case study counties. Overall, Barry County residents identified fewer benefits and more risks, and had stronger negative perceptions than Crawford County residents. This study contributes to the social science literature by developing a richer theoretical frame for understanding perceptions of HVHF and also shares recommendations for industry, organizations, regulators, and government leaders interested in effectively communicating with community stakeholders about the benefits and risks of HVHF.

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The Dirichlet process mixture model (DPMM) is a ubiquitous, flexible Bayesian nonparametric statistical model. However, full probabilistic inference in this model is analytically intractable, so that computationally intensive techniques such as Gibbs sampling are required. As a result, DPMM-based methods, which have considerable potential, are restricted to applications in which computational resources and time for inference is plentiful. For example, they would not be practical for digital signal processing on embedded hardware, where computational resources are at a serious premium. Here, we develop a simplified yet statistically rigorous approximate maximum a-posteriori (MAP) inference algorithm for DPMMs. This algorithm is as simple as DP-means clustering, solves the MAP problem as well as Gibbs sampling, while requiring only a fraction of the computational effort. (For freely available code that implements the MAP-DP algorithm for Gaussian mixtures see http://www.maxlittle.net/.) Unlike related small variance asymptotics (SVA), our method is non-degenerate and so inherits the “rich get richer” property of the Dirichlet process. It also retains a non-degenerate closed-form likelihood which enables out-of-sample calculations and the use of standard tools such as cross-validation. We illustrate the benefits of our algorithm on a range of examples and contrast it to variational, SVA and sampling approaches from both a computational complexity perspective as well as in terms of clustering performance. We demonstrate the wide applicabiity of our approach by presenting an approximate MAP inference method for the infinite hidden Markov model whose performance contrasts favorably with a recently proposed hybrid SVA approach. Similarly, we show how our algorithm can applied to a semiparametric mixed-effects regression model where the random effects distribution is modelled using an infinite mixture model, as used in longitudinal progression modelling in population health science. Finally, we propose directions for future research on approximate MAP inference in Bayesian nonparametrics.

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It has been recently shown that the double exchange Hamiltonian, with weak antiferromagnetic interactions, has a richer variety of first- and second-order transitions than previously anticipated, and that such transitions are consistent with the magnetic properties of manganites. Here we present a thorough discussion of the variational mean-field approach that leads to these results. We also show that the effect of the Berry phase turns out to be crucial to produce first-order paramagnetic-ferromagnetic transitions near half filling with transition temperatures compatible with the experimental situation. The computation relies on two crucial facts: the use of a mean-field ansatz that retains the complexity of a system of electrons with off-diagonal disorder, not fully taken into account by the mean-field techniques, and the small but significant antiferromagnetic superexchange interaction between the localized spins.

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Current physiological sensors are passive and transmit sensed data to Monitoring centre (MC) through wireless body area network (WBAN) without processing data intelligently. We propose a solution to discern data requestors for prioritising and inferring data to reduce transactions and conserve battery power, which is important requirements of mobile health (mHealth). However, there is a problem for alarm determination without knowing the activity of the user. For example, 170 beats per minute of heart rate can be normal during exercising, however an alarm should be raised if this figure has been sensed during sleep. To solve this problem, we suggest utilising the existing activity recognition (AR) applications. Most of health related wearable devices include accelerometers along with physiological sensors. This paper presents a novel approach and solution to utilise physiological data with AR so that they can provide not only improved and efficient services such as alarm determination but also provide richer health information which may provide content for new markets as well as additional application services such as converged mobile health with aged care services. This has been verified by experimented tests using vital signs such as heart pulse rate, respiration rate and body temperature with a demonstrated outcome of AR accelerometer sensors integrated with an Android app.

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Many years have passed since Berners-Lee envi- sioned the Web as it should be (1999), but still many information professionals do not know their precise role in its development, especially con- cerning ontologies –considered one of its main elements. Why? May it still be a lack of under- standing between the different academic commu- nities involved (namely, Computer Science, Lin- guistics and Library and Information Science), as reported by Soergel (1999)? The idea behind the Semantic Web is that of several technologies working together to get optimum information re- trieval performance, which is based on proper resource description in a machine-understandable way, by means of metadata and vocabularies (Greenberg, Sutton and Campbell, 2003). This is obviously something that Library and Information Science professionals can do very well, but, are we doing enough? When computer scientists put on stage the ontology paradigm they were asking for semantically richer vocabularies that could support logical inferences in artificial intelligence as a way to improve information retrieval systems. Which direction should vocabulary development take to contribute better to that common goal? The main objective of this paper is twofold: 1) to identify main trends, issues and problems con- cerning ontology research and 2) to identify pos- sible contributions from the Library and Information Science area to the development of ontologies for the semantic web. To do so, our paper has been structured in the following manner. First, the methodology followed in the paper is reported, which is based on a thorough literature review, where main contributions are analysed. Then, the paper presents a discussion of the main trends, issues and problems concerning ontology re- search identified in the literature review. Recom- mendations of possible contributions from the Library and Information Science area to the devel- opment of ontologies for the semantic web are finally presented.

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The Swedish-speaking minority in Finland, often described as an ‘elite minority’, holds a special position in the country. With linguistic rights protected by the constitution of Finland, Swedish-speakers, as a minority of only 5.3%, are often described in public discourse and in academic and statistical studies as happier, healthier and more well off economically than the Finnish-speaking majority. As such, the minority is a unique example of language minorities in Europe. Knowledge derived from qualitatively grounded studies on the topic is however lacking, meaning that there is a gap in understanding of the nature and complexity of the minority. Drawing on ethnographic research conducted in four different locations in Finland over a period of 12 months, this thesis provides a theoretically grounded and empirically informed rich account of the identifications and sites of belonging of this diverse minority. The thesis makes a contribution to theoretical, methodological and empirical research on the Swedish-speaking minority, debates around identity and belonging, and ethnographic methodological approaches. Making use of novel methodology in studying Swedish-speaking Finns, this thesis moves beyond generalisations and simplifications on its nature and character. Drawing on rich ethnographic empirical material, the thesis interrogates various aspects of the lived experience of Swedish-speaking Finns by combining the concepts of belonging and identification. Some of the issues explored are the way in which belonging can be regionally specific, how Swedish-speakers create Swedish-spaces, how language use is situational and variable and acts as a marker of identity, and finally how identifications and sites of belonging among the minority are extremely varied and complex. The thesis concludes that there are various sites of belonging and identification available to Swedish-speakers, and these need to be studied and considered in order to gain an accurate picture of the lived experience of the minority. It also argues that while identifications are based on collective imagery, this imagery can vary among Swedish-speakers and identifications are multiple and situational. Finally, while language is a key commonality for the minority, the meanings attached to it are not only concerned with ‘Finland Swedishness’, but connected to various other factors, such as the context a person grew up in and the region one lives in. The complex issues affecting the lived experience of Swedish-speaking Finns cannot be understood without the contribution of findings from qualitative research. This thesis therefore points towards a new kind of understanding of Swedish-speaking Finns, moving away from stereotypes and simplifications, shifting our gaze towards a richer perception of the minority.