865 resultados para Research needs


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This study examines the adaptability of the Finland model to meet the educational disparities currently observed in the education system in Ontario, Canada. A literature review and a database highlight key characteristics of the Finland model. From this information, Finland and Ontario’s systems are found to be similar in the areas of systemic structure and educational philosophies, and international testing and performance standards. The systems are found to be different in the areas of geography and demographics, social perceptions and attitudes towards education, school system structure, teaching philosophies, teacher education and professional status, and standardized and high-stakes testing. Discussion regarding use of Finnish philosophies to meet Ontario’s needs in the following areas takes place: social perceptions and attitudes towards education, our teaching philosophies, our teacher education and professional status, and our use of high-stakes and standardized testing. Opportunities for future research are also discussed and the major research paper includes a workshop and survey.

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This study investigated instructor perceptions of motivators and barriers that exist with respect to participation in educational development in the postsecondary context. Eight instructors from a mid-size, research intensive university in south-western Ontario participated in semistructured interviews to explore this particular issue. Data were analyzed using a qualitative approach. Motivation theory was used as a conceptual framework in this study, referring primarily to the work of Ryan and Deci (2000), Deci and Ryan (1985), and Pink (2009). The identified motivators and barriers spanned all 3 levels of postsecondary institutions: the micro (i.e., the individual), the meso (i.e., the department or Faculty), and the macro (i.e., the institution). Significant motivators to participation in educational development included desire to improve one’s teaching (micro), feedback from students (meso), and tenure and promotion (macro). Significant barriers to participation included lack of time (micro), the perception that an investment towards one’s research was more important than an investment to enhancing teaching (meso), and the impression that quality teaching was not valued by the institution (macro). The study identifies connections between the micro, meso, macro framework and motivation theory, and offers recommendations for practice.

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The BRAD group is composed of/ Le groupe BRAD est composé de : Sylvie Belleville, Gina Bravo, Louise Demers, Philippe Landreville, Louisette Mercier, Nicole Paquet, Hélène Payette, Constant Rainville, Bernadette Ska and René Verreault.

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This article analyzes the emerging ethical and legal requirements for informed consent in pharmacogenomic research. It reviews how policies at the international, regional and national levels have responded to the ethical challenges raised by this new research area. It concludes that the pharmacogenomic policy framework is still in its infancy and needs to be further developed to answer the challenges raised by this important discipline.

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This research investigates what information German Fairtrade coffee consumers search for during pre-purchase information seeking and to what extent information is retrieved. Furthermore, the sequence of the information search as well as the degree of cognitive involvement is highlighted. The role of labeling, the importance of additional ethical information and its quality in terms of concreteness as well as the importance of product price and organic origin are addressed. A set of information relevant to Fairtrade consumers was tested by means of the Information Display Matrix (IDM) method with 389 Fairtrade consumers. Results show that prior to purchase, information on product packages plays an important role and is retrieved rather extensively, but search strategies that reduce the information processing effort are applied as well. Furthermore, general information is preferred over specific information. Results of two regression analyses indicate that purchase decisions are related to search behavior variables rather than to socio-demographic variables and purchase motives. In order to match product information with consumers’ needs, marketers should offer information that is reduced to the central aspects of Fairtrade.

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Los programas de inmersión lingüística han constituido y constituyen dentro del Sistema Educativo catalán la principal forma para que el alumnado de lengua familiar no-catalana aprenda una nueva lengua, el catalán, sin que, en su proceso de aprendizaje, vea mermado ni el desarrollo de su propia lengua ni su rendimiento académico. El éxito de la inmersión lingüística en las décadas anteriores ha sido frecuentemente utilizado como uno de los argumentos orientativos para justificar la política lingüística que se sigue en la escolarización de la infancia extranjera. Sin embargo, los resultados obtenidos por investigaciones recientes parece que no avalan empíricamente dicho argumento. Este artículo analiza dichos resultados y expone, a partir del Plan para la Lengua y Cohesión Social puesto en marcha por el Departamento de Educación de la Generalitat de Cataluña, cuáles son los retos que se presentan a su Sistema Educativo dentro del nuevo marco que supone el aumento de la diversidad cultural y lingüística en la actual sociedad catalana

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This research is focused on an exploratory study developed with Pymes managers and theirroles as intrapreneurs. Using their leadership to impel innovation into organizations.Looking to determined how Pymes employers incentive into organizations individuals or groupinnovations. Therefore, it is possible to think that managers lead the innovation process, whichis classified gradually according to companies needs in order to improve their competitiveness.Organization must have intrapreneuring and organized culture with flexible structure to generateindividual autonomy. A characteristic is the amount of capital risk needed; that is why it isnecessary encourage their work and their risk tolerance.

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The biggest challenge in conservation biology is breaking down the gap between research and practical management. A major obstacle is the fact that many researchers are unwilling to tackle projects likely to produce sparse or messy data because the results would be difficult to publish in refereed journals. The obvious solution to sparse data is to build up results from multiple studies. Consequently, we suggest that there needs to be greater emphasis in conservation biology on publishing papers that can be built on by subsequent research rather than on papers that produce clear results individually. This building approach requires: (1) a stronger theoretical framework, in which researchers attempt to anticipate models that will be relevant in future studies and incorporate expected differences among studies into those models; (2) use of modern methods for model selection and multi-model inference, and publication of parameter estimates under a range of plausible models; (3) explicit incorporation of prior information into each case study; and (4) planning management treatments in an adaptive framework that considers treatments applied in other studies. We encourage journals to publish papers that promote this building approach rather than expecting papers to conform to traditional standards of rigor as stand-alone papers, and believe that this shift in publishing philosophy would better encourage researchers to tackle the most urgent conservation problems.

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A wide variety of exposure models are currently employed for health risk assessments. Individual models have been developed to meet the chemical exposure assessment needs of Government, industry and academia. These existing exposure models can be broadly categorised according to the following types of exposure source: environmental, dietary, consumer product, occupational, and aggregate and cumulative. Aggregate exposure models consider multiple exposure pathways, while cumulative models consider multiple chemicals. In this paper each of these basic types of exposure model are briefly described, along with any inherent strengths or weaknesses, with the UK as a case study. Examples are given of specific exposure models that are currently used, or that have the potential for future use, and key differences in modelling approaches adopted are discussed. The use of exposure models is currently fragmentary in nature. Specific organisations with exposure assessment responsibilities tend to use a limited range of models. The modelling techniques adopted in current exposure models have evolved along distinct lines for the various types of source. In fact different organisations may be using different models for very similar exposure assessment situations. This lack of consistency between exposure modelling practices can make understanding the exposure assessment process more complex, can lead to inconsistency between organisations in how critical modelling issues are addressed (e.g. variability and uncertainty), and has the potential to communicate mixed messages to the general public. Further work should be conducted to integrate the various approaches and models, where possible and regulatory remits allow, to get a coherent and consistent exposure modelling process. We recommend the development of an overall framework for exposure and risk assessment with common approaches and methodology, a screening tool for exposure assessment, collection of better input data, probabilistic modelling, validation of model input and output and a closer working relationship between scientists and policy makers and staff from different Government departments. A much increased effort is required is required in the UK to address these issues. The result will be a more robust, transparent, valid and more comparable exposure and risk assessment process. (C) 2006 Elsevier Ltd. All rights reserved.

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It has been generally accepted that the method of moments (MoM) variogram, which has been widely applied in soil science, requires about 100 sites at an appropriate interval apart to describe the variation adequately. This sample size is often larger than can be afforded for soil surveys of agricultural fields or contaminated sites. Furthermore, it might be a much larger sample size than is needed where the scale of variation is large. A possible alternative in such situations is the residual maximum likelihood (REML) variogram because fewer data appear to be required. The REML method is parametric and is considered reliable where there is trend in the data because it is based on generalized increments that filter trend out and only the covariance parameters are estimated. Previous research has suggested that fewer data are needed to compute a reliable variogram using a maximum likelihood approach such as REML, however, the results can vary according to the nature of the spatial variation. There remain issues to examine: how many fewer data can be used, how should the sampling sites be distributed over the site of interest, and how do different degrees of spatial variation affect the data requirements? The soil of four field sites of different size, physiography, parent material and soil type was sampled intensively, and MoM and REML variograms were calculated for clay content. The data were then sub-sampled to give different sample sizes and distributions of sites and the variograms were computed again. The model parameters for the sets of variograms for each site were used for cross-validation. Predictions based on REML variograms were generally more accurate than those from MoM variograms with fewer than 100 sampling sites. A sample size of around 50 sites at an appropriate distance apart, possibly determined from variograms of ancillary data, appears adequate to compute REML variograms for kriging soil properties for precision agriculture and contaminated sites. (C) 2007 Elsevier B.V. All rights reserved.

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More data will be produced in the next five years than in the entire history of human kind, a digital deluge that marks the beginning of the Century of Information. Through a year-long consultation with UK researchers, a coherent strategy has been developed, which will nurture Century-of-Information Research (CIR); it crystallises the ideas developed by the e-Science Directors' Forum Strategy Working Group. This paper is an abridged version of their latest report which can be found at: http://wikis.nesc.ac.uk/escienvoy/Century_of_Information_Research_Strategy which also records the consultation process and the affiliations of the authors. This document is derived from a paper presented at the Oxford e-Research Conference 2008 and takes into account suggestions made in the ensuing panel discussion. The goals of the CIR Strategy are to facilitate the growth of UK research and innovation that is data and computationally intensive and to develop a new culture of 'digital-systems judgement' that will equip research communities, businesses, government and society as a whole, with the skills essential to compete and prosper in the Century of Information. The CIR Strategy identifies a national requirement for a balanced programme of coordination, research, infrastructure, translational investment and education to empower UK researchers, industry, government and society. The Strategy is designed to deliver an environment which meets the needs of UK researchers so that they can respond agilely to challenges, can create knowledge and skills, and can lead new kinds of research. It is a call to action for those engaged in research, those providing data and computational facilities, those governing research and those shaping education policies. The ultimate aim is to help researchers strengthen the international competitiveness of the UK research base and increase its contribution to the economy. The objectives of the Strategy are to better enable UK researchers across all disciplines to contribute world-leading fundamental research; to accelerate the translation of research into practice; and to develop improved capabilities, facilities and context for research and innovation. It envisages a culture that is better able to grasp the opportunities provided by the growing wealth of digital information. Computing has, of course, already become a fundamental tool in all research disciplines. The UK e-Science programme (2001-06)—since emulated internationally—pioneered the invention and use of new research methods, and a new wave of innovations in digital-information technologies which have enabled them. The Strategy argues that the UK must now harness and leverage its own, plus the now global, investment in digital-information technology in order to spread the benefits as widely as possible in research, education, industry and government. Implementing the Strategy would deliver the computational infrastructure and its benefits as envisaged in the Science & Innovation Investment Framework 2004-2014 (July 2004), and in the reports developing those proposals. To achieve this, the Strategy proposes the following actions: support the continuous innovation of digital-information research methods; provide easily used, pervasive and sustained e-Infrastructure for all research; enlarge the productive research community which exploits the new methods efficiently; generate capacity, propagate knowledge and develop skills via new curricula; and develop coordination mechanisms to improve the opportunities for interdisciplinary research and to make digital-infrastructure provision more cost effective. To gain the best value for money strategic coordination is required across a broad spectrum of stakeholders. A coherent strategy is essential in order to establish and sustain the UK as an international leader of well-curated national data assets and computational infrastructure, which is expertly used to shape policy, support decisions, empower researchers and to roll out the results to the wider benefit of society. The value of data as a foundation for wellbeing and a sustainable society must be appreciated; national resources must be more wisely directed to the collection, curation, discovery, widening access, analysis and exploitation of these data. Every researcher must be able to draw on skills, tools and computational resources to develop insights, test hypotheses and translate inventions into productive use, or to extract knowledge in support of governmental decision making. This foundation plus the skills developed will launch significant advances in research, in business, in professional practice and in government with many consequent benefits for UK citizens. The Strategy presented here addresses these complex and interlocking requirements.

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The Engineering and Physical Sciences Research Council (EPSRC) extending quality of life (EQUAL) initiative, specifically supports interdisciplinary user-focused design, engineering and technology research concerned with enhancing the independence and quality of life of older and disabled people. This paper briefly describes a recent programme to encourage the adoption of a broader perspective on the lives and needs of older people that have been pursued by EPSRC through its extending quality life (EQUAL) initiative. EPSRC is the principle supporter design, engineering and technology research in UK universities. The paper illustrates the scope of EQUAL.

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Many nations are experiencing rapid rises in the life expectancy of their citizens. The implications of this major demographic shift are considerable offering opportunities as well as challenges to reconsider how people should spend their later years. A key task is enhancing the quality of life of older people through enabling them to continue to live independently even though illness, accident or frailty may have severely reduced their physical and sensory abilities and, possibly, mental health. Yet the needs of older people and disabled people have been largely ignored in the design of everyday consumer products, the home, transport systems and the built environment in general. Whilst the need for designers, engineers and technologists to provide products, environments and systems which are inclusive of all members of society is widely accepted, there is little understanding of how this can be achieved. In 1998 the UK Engineering and Physical Sciences Research Council established its EQUAL Initiative. This has encouraged design, engineering and technology researchers in universities to join with their colleagues from the social, medical and health sciences to investigate a wide range of issues experienced by older and disabled people and to propose solutions. Their research, which directly involves older and disabled people and, for example, social housing providers, social services departments, charities, engineering and architectural consultants, and transport firms, has been extremely successful. In a very short time it has influenced government policy on housing, long-term care, and building standards, and findings have been taken up by architects, designers, health-care professionals and bodies which represent older and disabled people.

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This paper presents the findings from a recent study funded by the Joseph Rowntree Foundation examining the housing and neighbourhood needs of 44 visually impaired children. Our research found that disabled people’s needs have been too narrowly based on ‘accessibility’ criteria, which do not take into account the health and safety issues so important for children. Indeed, the home environment is the main site of accidental death or injury for young children under 4 years, and children from low income families are particularly susceptible to burns, scalds, falls, swallowing foreign objects or poisonous substances within it (CRDU 1994). As disabled children are statistically more likely to be in low income families, this places them at high risk. If ‘accessibility’ is to be reconceived as design for usability throughout the lifecourse, this challenges us to move beyond the pragmatic but limited application of design prescriptions for disabled people as a separate and adult group, and to re-think all of the dimensions of the housing quality framework in the light of this expanded approach.

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Academia has a critical role in developing new knowledge which construction industry practitioners need to envision, undertake and sustain successful innovation. The new knowledge produced by academia, however, often does not satisfy the needs of practitioners. This unsatisfactory state of affairs is frequently taken to be the consequence of the cultural, motivational and operational differences between the two communities. Actionable knowledge is presented as a useful concept which can fuse the expectations, contributions and outputs of academia and practitioners. Within this context, action research is argued to be an appropriate methodology to develop successful actionable knowledge. Results from an action research project are given which provide researchers and practitioners greater understanding of the key factors that shape the degree to which action research produces actionable knowledge: change focus, collaboration capabilities and systematic process. The criteria intrinsic to Mode 2 research (Gibbons et al., 1994) are demonstrated to have utility in evidencing actionable knowledge. The implication for policy is that there is a need to develop and use appropriate actionable knowledge frameworks and measures to design funding calls, and to evaluate research proposals and outputs.