995 resultados para Baccalaureate addresses.
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This paper describes an extended case-based reasoning model that addresses the notion of situatedness in designing through constructive memory. The model is illustrated through an application for predicting the corrosion rate for a specific material on a specific building.
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Research Background - Young people with negative experiences of mainstream education often display low levels of traditional academic achievement. These young people tend to display considerable cultural and social resources developed through their repeated experiences of adversity. Education research has a duty to provide these young people with opportunities to showcase, assess and translate their social and cultural resources into symbolic forms of capital. This creative work addresses the research question, how can educators maximise the social and cultural capital they help young people acquire through live music performances and studio recordings? Research Contribution - This live music performance, built on existing artistic reputations of the artists, saw the lads support one of their local heroes from Brisbane Hip Hop music scene. In doing so they showcased what their three years of concerted musical engagement can achieve within supportive flexible learning environments. The new knowledge derived from this research focuses on the academic and self confidence benefits for disengaged young people using festival performances as authentic learning activities. Research Significance - This research is significant because it aims to maximise the number of tangible outcomes related to a school-based arts project. The young participants gained technical, artistic, social and commercial status during this project. Individual performances were distributed and downloaded via creative commons licences at the Australian Creative Resource Archive. This performance also contributed to their certified qualifications and acted as pilot research data for two competitively funded ARC grants (DP0209421 & LP0883643)
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Network crawling and visualisation tools and other datamining systems are now advanced enough to provide significant new impulses to the study of cultural activity on the Web. A growing range of studies focus on communicative processes in the blogosphere – including for example Adamic & Glance’s 2005 map of political allegiances during the 2004 U.S. presidential election and Kelly & Etling’s 2008 study of blogging practices in Iran. There remain a number of significant shortcomings in the application of such tools and methodologies to the study of blogging; these relate both to how the content of blogs is analysed, and to how the network maps resulting from such studies are understood. Our project highlights and addresses such shortcomings.
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As businesses and organisations move online, many question how to use Internet communication tools effectively, such as Web sites and electronic mail (Porter, 2001). Where and how should they invest their time and money in technology? This research explores a small part of this broad question, online complaining and electronic customer service. This paper extends prior US-based research of consumer complaints by email (Strauss and Hill, 2001) in several ways. First, it replicates their research in an Australian setting. Second, this research addresses several future research issues that Strauss and Hill (2001) raised. And third, this paper uses diffusion of innovation (Rogers, 1995) to explain some of the results. The results partially support the findings of Strauss and Hill (2001), take a small step towards further investigation of effective email responses and provide practical suggestions for better email customer service.
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PROJECT BRIEF Information provided by the Built Environment Industry Innovation Council as background to this project includes the following information on construction and innovation within the industry. • The construction industry contributes around $67 billion to GDP and employs around 970,000 and generates exports of nearly $150 million. • The industry has one of the lowest innovation rates of any industry in Australia, ranking third last across all Australian industries in terms of its proportion of business expenditure on innovation, and second last in terms of the proportion of income generated from innovation (ABS, 2006). • Key innovation challenges include addressing energy and water use efficiency, and housing costs in preparing for the implementation of the Carbon Pollution Reduction Scheme. The sector will need to build its capability and capacity to deliver the technical and operational expertise required.The broader Built Environment Innovation Project aims to address the following two objectives: 1. Identify current innovative practice across the Built Environment industry. 2. Develop a knowledge exchange strategy for this information to be disseminated to all industry stakeholders. Industry practice issues are critical to the built environment industry’s ability to innovate, and the BRITE project from the CRC for Construction Innovation has previously undertaken work to identify the key factors that drive innovation. Part 1 of the current project aims to extend this work by conducting a stocktake of current and emerging innovative practices within the built environment industry. Part 2 of the project addresses the second of these objectives, that is, to recommend a knowledge exchange strategy for promoting the wider uptake of innovative practices that makes the information identified in Part 1 of the study (on emerging innovative practices) accessible to Australian built environment industry stakeholders. The project brief was for the strategy to include a mechanism to enable this information resource to be updated as new initiatives/practices are developed. A better understanding of the built environment industry’s own knowledge infrastructure also has the potential to enhance innovation outcomes for the industry. This project will develop a coordinated knowledge exchange strategy, informed by the best available information on current innovation practices within the industry and suggest directions for gaining a better understanding of: the industry contexts that lead to innovative practices; the industry (including enterprise and individual) drivers for innovation; and appropriate knowledge exchange pathways for delivering future industry innovation. A deliverable of Part 2 will be a recommendation for a knowledge exchange strategy to accelerate adoption of innovative practices in the built environment industry, including resource implications and how such a recommendation could be taken forward as an ongoing resource.
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The current policy decision making in Australia regarding non-health public investments (for example, transport/housing/social welfare programmes) does not quantify health benefits and costs systematically. To address this knowledge gap, this study proposes an economic model for quantifying health impacts of public policies in terms of dollar value. The intention is to enable policy-makers in conducting economic evaluation of health effects of non-health policies and in implementing policies those reduce health inequalities as well as enhance positive health gains of the target population. Health Impact Assessment (HIA) provides an appropriate framework for this study since HIA assesses the beneficial and adverse effects of a programme/policy on public health and on health inequalities through the distribution of those effects. However, HIA usually tries to influence the decision making process using its scientific findings, mostly epidemiological and toxicological evidence. In reality, this evidence can not establish causal links between policy and health impacts since it can not explain how an individual or a community reacts to changing circumstances. The proposed economic model addresses this health-policy linkage using a consumer choice approach that can explain changes in group and individual behaviour in a given economic set up. The economic model suggested in this paper links epidemiological findings with economic analysis to estimate the health costs and benefits of public investment policies. That is, estimating dollar impacts when health status of the exposed population group changes by public programmes – for example, transport initiatives to reduce congestion by building new roads/ highways/ tunnels etc. or by imposing congestion taxes. For policy evaluation purposes, the model is incorporated in the HIA framework by establishing association among identified factors, which drive changes in the behaviour of target population group and in turn, in the health outcomes. The economic variables identified to estimate the health inequality and health costs are levels of income, unemployment, education, age groups, disadvantaged population groups, mortality/morbidity etc. However, though the model validation using case studies and/or available database from Australian non-health policy (say, transport) arena is in the future tasks agenda, it is beyond the scope of this current paper.
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Aims: The Rural and Remote Road Safety Study (RRRSS) addresses a recognised need for greater research on road trauma in rural and remote Australia, the costs of which are disproportionately high compared with urban areas. The 5-year multi-phase study with whole-of-government support concluded in June 2008. Drawing on RRRSS data, we analysed fatal motorcycle crashes which occurred over 39 months to provide a description of crash characteristics, contributing factors and people involved. The descriptive analysis and discussion may inform development of tailored motorcycle safety interventions. Methods: RRRSS criteria sought vehicle crashes resulting in death or hospitalisation for 24 hours minimum of at least 1 person aged 16 years or over, in the study area defined roughly as the Queensland area north from Bowen in the east and Boulia in the west (excluding Townsville and Cairns urban areas). Fatal motorcycle crashes were selected from the RRRSS dataset. Analysis considered medical data covering injury types and severity, evidence of alcohol, drugs and prior medical conditions, as well as crash descriptions supplied by police to Queensland Transport on contributing circumstances, vehicle types, environmental conditions and people involved. Crash data were plotted in a geographic information system (MapInfo) for spatial analysis. Results: There were 23 deaths from 22 motorcycle crashes on public roads meeting RRRSS criteria. Of these, half were single vehicle crashes and half involved 2 or more vehicles. In contrast to general patterns for driver/rider age distribution in crashes, riders below 25 years of age were represented proportionally within the population. Riders in their thirties comprised 41% of fatalities, with a further 36% accounted for by riders in their fifties. 18 crashes occurred in the Far North Statistical Division (SD), with 2 crashes in both the Northern and North West SDs. Behavioural factors comprised the vast majority of contributing circumstances cited by police, with adverse environmental conditions noted in only 4 cases. Conclusions: Fatal motorcycle crashes were more likely to involve another vehicle and less likely to involve a young rider than non-fatal crashes recorded by the RRRSS. Rider behaviour contributed to the majority of crashes and should be a major focus of research, education and policy development, while other road users’ behaviour and awareness also remains important. With 68% of crashes occurring on major and secondary roads within a 130km radius of Cairns, efforts should focus on this geographic area.
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Previous research into the use of explicit and implicit conclusions in advertising has yet to demonstrate consistent effects for both brand attitudes and purchase intentions. While research has examined the role of involvement, this study contributes by examining the trait called need for cognition (NFC), which addresses a person’s propensity to engage in effortful thinking. In addition, this study introduces argument quality (AQ) as another potential moderator of conclusion explicitness effects. In a 2 × 2 experiment of 261 subjects, conclusion explicitness (explicit conclusion, implicit conclusion) and AQ (strong, weak) are manipulated, with NFC (high NFC, low NFC) as a third measured variable. Results indicate more favorable evaluations for implicit conclusions over explicit conclusions for high-NFC individuals. Further, implicit conclusions result in more favorable brand attitudes and purchase intentions when linked with strong AQ for high-NFC individuals. The findings confirm that conclusion explicitness does not differentially affect the evaluations of low-NFC subjects. Results suggest that NFC may represent an important moderating variable for future conclusion explicitness research.
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The effects of counseling have been subject to extensive examination including the meta-analyses of Lipsey and Wilson (1993) and Matt and Navarro (1997). The results of these analyses demonstrated the positive effects of counseling interventions but do not indicate how, when, and why these benefits eventuated (Paul, 1967; Shadish & Sweeney, 1991), nor do they consider mediating variables. Much of the research in this area has involved the measurement of quantitative behavioral outcomes and short-term behavioral change (Steenbarger & Smith, 1996). However, there has been a recent move toward more qualitative, process-orientated research (Polkingthorne, 1994). This move addresses the previous methodological myopia but neglects the place of learning in the counseling process. It is suggested that if learning is viewed as underpinning all counseling, then clients should be able to transfer what they have learned from the counseling experience to problematical situations without the need for further counseling.
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The study will cross-fertilise Information Systems (IS) and Services Marketing ideas through reconceptualising the information system as a service (ISaaS). The study addresses known limitations of arguably the two most significant dependent variables in these disciplines - Information System Success or IS-Impact, and Service Quality. Planned efforts to synthesise analogous conceptions across these disciplines, are expected to force a deeper theoretical understanding of the broad notions of success, quality, value and satisfaction and their interrelations. The aims of this research are to: (1) yield a conceptually superior and more extensively validated IS success measurement model, and (2) develop and operationalise a more rigorously validated Service Quality measurement model, while extending the ‘service’ notion to ‘operational computer-based information systems in organisations’. In the development of the new models the study will address contemporary validation issues.
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Children’s drawings provide rich qualitative data (Walker, 2008) and “valuable information for the assessment of children's environmental perceptions” (Barraza, 1999, p. 49). They are the primary data source being used to re-imagine school from a student perspective (Schratz & Steiner-Löffler, 1998) in a research project being carried out with primary school students in Queensland, Australia. This paper will report on the progress of this project which addresses a mostly unmet need for students’ perspectives to be included in school design (Rudduck & Flutter, 2004). Grade 5/6 students in a number of primary schools have been invited to submit annotated drawings with up to 200 words of text illustrating their ideal educational spaces. Using purpose-designed analytical tools, the submissions will be compared across student backgrounds and school types to obtain a better understanding of the needs and educational desires of young people in relation to changing learning environments. The findings will inform consideration of the design and use of educational spaces with all work exhibited through a dedicated website. The term ‘educational spaces’ avoids restrictive notions of what the concept of ‘school’ means, referring to any real or virtual space in which teaching and learning may occur or, as Ferguson and Seddon (2007) have referred to it, “the shifting imagery of education” that includes red brick schools and dispersed learning networks. The theoretical framework for this study is grounded in the work of Greene (1995) and Wright-Mills (2001) who cited the deployment of critical and empathic imagination in addressing education reform.
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While teacher leadership is the basis for innovation and reform within schools, few international studies have focused on the leadership practices of science teachers and heads of science departments. This chapter reviews the Australasian literature that addresses the issue both directly and indirectly. The transformational practices of heads of science departments as well as influential science teachers within departments are identified in this chapter.
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Monitoring unused or dark IP addresses offers opportunities to extract useful information about both on-going and new attack patterns. In recent years, different techniques have been used to analyze such traffic including sequential analysis where a change in traffic behavior, for example change in mean, is used as an indication of malicious activity. Change points themselves say little about detected change; further data processing is necessary for the extraction of useful information and to identify the exact cause of the detected change which is limited due to the size and nature of observed traffic. In this paper, we address the problem of analyzing a large volume of such traffic by correlating change points identified in different traffic parameters. The significance of the proposed technique is two-fold. Firstly, automatic extraction of information related to change points by correlating change points detected across multiple traffic parameters. Secondly, validation of the detected change point by the simultaneous presence of another change point in a different parameter. Using a real network trace collected from unused IP addresses, we demonstrate that the proposed technique enables us to not only validate the change point but also extract useful information about the causes of change points.
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Research in science education is now an international activity. This book asks for the first time, Does this research activity have an identity?-It uses the significant studies of more than 75 researchers in 15 countries to see to what extent they provide evidence for an identity as a distinctive field of research.-It considers trends in the research over time, and looks particularly at what progression in the research entails.-It provides insight into how researchers influence each other and how involvement in research affects the being of the researcher as a person.-It addresses the relation between research and practice in a manner that sees teaching and learning in the science classroom as interdependent with national policies and curriculum traditions about science. It gives graduate students and other early researchers an unusual overview of their research area as a whole. Established researchers will be interested in, and challenged by, the identity the author ascribes to the research and by the plea he makes for the science content itself to be seen as problematic.
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Phase-type distributions represent the time to absorption for a finite state Markov chain in continuous time, generalising the exponential distribution and providing a flexible and useful modelling tool. We present a new reversible jump Markov chain Monte Carlo scheme for performing a fully Bayesian analysis of the popular Coxian subclass of phase-type models; the convenient Coxian representation involves fewer parameters than a more general phase-type model. The key novelty of our approach is that we model covariate dependence in the mean whilst using the Coxian phase-type model as a very general residual distribution. Such incorporation of covariates into the model has not previously been attempted in the Bayesian literature. A further novelty is that we also propose a reversible jump scheme for investigating structural changes to the model brought about by the introduction of Erlang phases. Our approach addresses more questions of inference than previous Bayesian treatments of this model and is automatic in nature. We analyse an example dataset comprising lengths of hospital stays of a sample of patients collected from two Australian hospitals to produce a model for a patient's expected length of stay which incorporates the effects of several covariates. This leads to interesting conclusions about what contributes to length of hospital stay with implications for hospital planning. We compare our results with an alternative classical analysis of these data.