968 resultados para Academic communities
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Purpose This research explored the use of developmental evaluation methods with community of practice programmes experiencing change or transition to better understand how to target support resources. Design / methodology / approach The practical use of a number of developmental evaluation methods was explored in three organisations over a nine month period using an action research design. The research was a collaborative process involving all the company participants and the academic (the author) with the intention of developing the practices of the participants as well as contributing to scholarship. Findings The developmental evaluation activities achieved the objectives of the knowledge managers concerned: they developed a better understanding of the contribution and performance of their communities of practice, allowing support resources to be better targeted. Three methods (fundamental evaluative thinking, actual-ideal comparative method and focus on strengths and assets) were found to be useful. Cross-case analysis led to the proposition that developmental evaluation methods act as a structural mechanism that develops the discourse of the organisation in ways that enhance the climate for learning, potentially helping develop a learning organization. Practical implications Developmental evaluation methods add to the options available to evaluate community of practice programmes. These supplement the commonly used activity indicators and impact story methods. 2 Originality / value Developmental evaluation methods are often used in social change initiatives, informing public policy and funding decisions. The contribution here is to extend their use to organisational community of practice programmes.
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Petroleum contamination impact on macrobenthic communities in the northeast portion of Todos os Santos Bay was assessed combining in multivariate analyses, chemical parameters such as aliphatic and polycyclic aromatic hydrocarbon indices and concentration ratios with benthic ecological parameters. Sediment samples were taken in August 2000 with a 0.05 m(2) van Veen grab at 28 sampling locations. The predominance of n-alkanes with more than 24 carbons, together with CPI values close to one, and the fact that most of the stations showed UCM/resolved aliphatic hydrocarbons ratios (UCM:R) higher than two, indicated a high degree of anthropogenic contribution, the presence of terrestrial plant detritus, petroleum products and evidence of chronic oil pollution. The indices used to determine the origin of PAH indicated the occurrence of a petrogenic contribution. A pyrolytic contribution constituted mainly by fossil fuel combustion derived PAH was also observed. The results of the stepwise multiple regression analysis performed with chemical data and benthic ecological descriptors demonstrated that not only total PAH concentrations but also specific concentration ratios or indices such as >= C24:< C24, An/178 and Fl/Fl + Py, are determining the structure of benthic communities within the study area. According to the BIO-ENV results petroleum related variables seemed to have a main influence on macrofauna community structure. The PCA ordination performed with the chemical data resulted in the formation of three groups of stations. The decrease in macrofauna density, number of species and diversity from groups III to I seemed to be related to the occurrence of high aliphatic hydrocarbon and PAH concentrations associated with fine sediments. Our results showed that macrobenthic communities in the northeast portion of Todos os Santos Bay are subjected to the impact of chronic oil pollution as was reflected by the reduction in the number of species and diversity. These results emphasise the importance to combine in multivariate approaches not only total hydrocarbon concentrations but also indices, isomer pair ratios and specific compound concentrations with biological data to improve the assessment of anthropogenic impact on marine ecosystems. (c) 2008 Elsevier Ltd. All rights reserved.
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Bridging the gap between research and policy is of growing importance in international development. The National Centre of Competence in Research (NCCR) North-South has rich experience in collaborating beyond academic boundaries to make their research relevant to various societal actors. This publication is the first to provide an overview of the effectiveness of NCCR North-South researchers’ efforts to interact with policy, practice, and local communities with a view to effecting a change in practices. A systematic assessment of researchers’ interactions with non-academic partners is presented, based on principles of monitoring and evaluation. On this basis, tools for collective learning and widespread adaptation are proposed. The report shows with what types of societal actors NCCR North-South researchers collaborate and analyses examples of how researchers conduct dialogue beyond academic boundaries, leading to specific outcomes. It also explains the frame conditions considered decisive for successful and sustainable policy dialogue and concludes with recommendations about how the NCCR North-South can increase the effectiveness of its research for development. The publication is a valuable source of inspiration for those interested in better understanding how to generate the multiple benefits of making science relevant to society.
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Unique as snowflakes, learning communities are formed in countless ways. Some are designed specifically for first-year students, while others offer combined or clustered upper-level courses. Most involve at least two linked courses, and some add residential and social components. Many address core general education and basic skills requirements. Learning communities differ in design, yet they are similar in striving to enhance students' academic and social growth. First-year learning communities foster experiences that have been linked to academic success and retention. They also offer unique opportunities for librarians interested in collaborating with departmental faculty and enhancing teaching skills. This article will explore one librarian's experiences teaching within three first-year learning communities at Buffalo State College.
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Questions relating to the ability of particular groups in society to access information and communications technologies (ICTs) have become a growing part of the academic and policy literature. The issues raised in this literature have revolved around a number of themes, many of which can be subsumed under concerns about a growing digital divide whereby society is being divided into information rich and information poor sectors. This differentiation can be between particular social groups irrespective of place, or between people in particular places be these large regional areas (e.g. metropolitan versus non-metropolitan) or localities and communities within an urban area. This paper focuses on the existence of a 'digital divide' across the Sydney metropolitan area. Using ABS 2001 census data the paper presents an analysis of computer and internet access and use for clusters of local communities and focuses on how usage differs across communities as differentiated by socio-economic status, household and family status and ethnic background
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It is not especially controversial to suggest that the academic literature on Chineseness has for some time been focused upon the ‘porousness’ and ‘strategic’ possibilities of identity categories. This is most clearly observable in the legacy of cultural theory upon identity politics. In particular, terms such as hybridity have not only expanded the political potential for fragmenting conventional identifications, but also symbolised the sorts of ‘complicated entanglements’ within which individuals and communities are perpetually caught. The discursive mileage of hybridity has meant, over time, that it has also attracted criticism. Some of this criticism comes from academics engaged in more materialist forms of research. These sorts of contrary perspectives have often sought to ground hybrid identifications within the cultural and historical milieu from which they are enacted, whenever they are enacted.
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The primary aim of this paper is to demonstrate how technology transfer between universities and rural industries in developing countries can be achieved effectively, using independent research and advisory centres as intermediaries. It draws on a longitudinal action research study, which experiments with the process of nurturing and bridging communities of practice amongst recipients of technology and stakeholders concerned with technology diffusion, productivity and economic development. Its empirical evidence is from an academic-related, non-government intervention initiative targeting two small-scale industries, namely fish farming and coffee production, in the Cauca region of Colombia. Results demonstrate how barriers to transfer can be overcome. The intervention is considered as instrumental; its key components and outcomes are discussed in detail. © 2012 Elsevier Ltd. All rights reserved.
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Parent involvement is an integral part of a child’s educational progress. In some cases, students’ academic achievement can be directly related to the level of parental involvement exhibited in schools. Families’ perception of roles toward parental involvement in schools may vary among groups from diverse cultures. In today’s urban schools, the increasing diversity of cultures may contribute to differences in levels of parental involvement. The purpose of this research is to address the need to promote parental participation in the educational process of their children. This study will focus on three research questions: Are there differences in levels of parental involvement after participating in a program designed to assist them with their children’s reading skills? Are there changes in the attitudes of families towards parental involvement after participating in the instructional cycle? Is there a relationship between the level of parental involvement and student academic achievement?
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Empirical studies of education programs and systems, by nature, rely upon use of student outcomes that are measurable. Often, these come in the form of test scores. However, in light of growing evidence about the long-run importance of other student skills and behaviors, the time has come for a broader approach to evaluating education. This dissertation undertakes experimental, quasi-experimental, and descriptive analyses to examine social, behavioral, and health-related mechanisms of the educational process. My overarching research question is simply, which inside- and outside-the-classroom features of schools and educational interventions are most beneficial to students in the long term? Furthermore, how can we apply this evidence toward informing policy that could effectively reduce stark social, educational, and economic inequalities?
The first study of three assesses mechanisms by which the Fast Track project, a randomized intervention in the early 1990s for high-risk children in four communities (Durham, NC; Nashville, TN; rural PA; and Seattle, WA), reduced delinquency, arrests, and health and mental health service utilization in adolescence through young adulthood (ages 12-20). A decomposition of treatment effects indicates that about a third of Fast Track’s impact on later crime outcomes can be accounted for by improvements in social and self-regulation skills during childhood (ages 6-11), such as prosocial behavior, emotion regulation and problem solving. These skills proved less valuable for the prevention of mental and physical health problems.
The second study contributes new evidence on how non-instructional investments – such as increased spending on school social workers, guidance counselors, and health services – affect multiple aspects of student performance and well-being. Merging several administrative data sources spanning the 1996-2013 school years in North Carolina, I use an instrumental variables approach to estimate the extent to which local expenditure shifts affect students’ academic and behavioral outcomes. My findings indicate that exogenous increases in spending on non-instructional services not only reduce student absenteeism and disciplinary problems (important predictors of long-term outcomes) but also significantly raise student achievement, in similar magnitude to corresponding increases in instructional spending. Furthermore, subgroup analyses suggest that investments in student support personnel such as social workers, health services, and guidance counselors, in schools with concentrated low-income student populations could go a long way toward closing socioeconomic achievement gaps.
The third study examines individual pathways that lead to high school graduation or dropout. It employs a variety of machine learning techniques, including decision trees, random forests with bagging and boosting, and support vector machines, to predict student dropout using longitudinal administrative data from North Carolina. I consider a large set of predictor measures from grades three through eight including academic achievement, behavioral indicators, and background characteristics. My findings indicate that the most important predictors include eighth grade absences, math scores, and age-for-grade as well as early reading scores. Support vector classification (with a high cost parameter and low gamma parameter) predicts high school dropout with the highest overall validity in the testing dataset at 90.1 percent followed by decision trees with boosting and interaction terms at 89.5 percent.
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This session will provide you with opportunity to find out what is being achieved and explore the implications for your own practice.
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This paper discusses a framework in which catalog service communities are built, linked for interaction, and constantly monitored and adapted over time. A catalog service community (represented as a peer node in a peer-to-peer network) in our system can be viewed as domain specific data integration mediators representing the domain knowledge and the registry information. The query routing among communities is performed to identify a set of data sources that are relevant to answering a given query. The system monitors the interactions between the communities to discover patterns that may lead to restructuring of the network (e.g., irrelevant peers removed, new relationships created, etc.).