57 resultados para Volunteer Programs


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This article presents the findings of a randomized controlled trial evaluation of the effects of a revised version of the volunteer mentoring programme, Time to Read. Participating children received two 30-minute mentoring sessions per week from volunteer mentors who carried out paired reading activities with the children. The current trial involved 512 children aged eight to nine years from 50 primary schools. The programme was found to be effective in improving decoding skills (d=+.15), reading rate (d=+.22) and reading fluency (d=+.14) and there was some evidence of a positive effect in relation to the children’s aspirations for the future (d=+.11). However, no evidence was found of the programme having an effect on reading comprehension or reading confidence and enjoyment of reading. The article concludes by suggesting that mentoring programmes using non-specialist volunteers can be effective in improving foundational reading skills but would appear to be less effective in terms of improving higher-order skills such as comprehension. The article also suggests that such programmes are likely to be most effective if concentrating on core reading activities rather than attempting to address reading outcomes indirectly through improving children’s confidence or wider enjoyment of reading.

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Volunteer recruitment and retention is a problem that most credit unions experience. Research suggests that knowledge of volunteer motivation can inform volunteer management strategies. This paper uses a survey approach to determine whether current volunteers in credit unions in Northern Ireland are more motivated by the actual act of volunteering, by the output from the volunteering activity (including altruism) or because the volunteering activity increases their human capital value. Altruistic reasons are found to be the most influential, with the act of volunteering also scoring highly. This knowledge should inform volunteer recruitment programmes and internal appraisal processes as management can reinforce messages that provide positive feedback to volunteers on the social benefits being achieved by the credit union. This will further motivate current volunteers, ensuring retention. When motivation was analyzed by volunteer characteristics we found that older volunteers, retired volunteers and volunteers who are less educated are more motivated in their role. There was little evidence that individuals volunteer to improve their human capital worth.

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Credit unions are non-profit financial organisations that provide financial services to their members. They are located in 97 countries across the world. All credit unions are governed by a volunteer board and many are reliant on volunteers for all their labour requirements. However, recruiting volunteers is a problem. The literature on recruitment issues in volunteering in general, suggests that the not-for-profit sector looks to the private sector for guidance on recruitment policies and approaches. One such approach which is considered in this paper is ‘market segmentation’ wherein the potential volunteer body is profiled to determine if an individual is likely to volunteer and if they are, to identify the type of role they are most likely to be attracted to. Prior literature on volunteering in non-profit organisations suggests that certain types of individual (dominant individuals) are more likely to volunteer. This paper investigates whether this dominant status profile is evident amongst volunteers in credit unions in Northern Ireland (NI). The study finds that people with dominant characteristics are more likely to be attracted to volunteering to the board of directors and individuals who have less dominant traits overall should be offered more social/participative type roles. This information can be used by credit union governing boards for volunteer recruitment, retention and management purposes.

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Traditional static analysis fails to auto-parallelize programs with a complex control and data flow. Furthermore, thread-level parallelism in such programs is often restricted to pipeline parallelism, which can be hard to discover by a programmer. In this paper we propose a tool that, based on profiling information, helps the programmer to discover parallelism. The programmer hand-picks the code transformations from among the proposed candidates which are then applied by automatic code transformation techniques.

This paper contributes to the literature by presenting a profiling tool for discovering thread-level parallelism. We track dependencies at the whole-data structure level rather than at the element level or byte level in order to limit the profiling overhead. We perform a thorough analysis of the needs and costs of this technique. Furthermore, we present and validate the belief that programs with complex control and data flow contain significant amounts of exploitable coarse-grain pipeline parallelism in the program’s outer loops. This observation validates our approach to whole-data structure dependencies. As state-of-the-art compilers focus on loops iterating over data structure members, this observation also explains why our approach finds coarse-grain pipeline parallelism in cases that have remained out of reach for state-of-the-art compilers. In cases where traditional compilation techniques do find parallelism, our approach allows to discover higher degrees of parallelism, allowing a 40% speedup over traditional compilation techniques. Moreover, we demonstrate real speedups on multiple hardware platforms.

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The prevalence of multicore processors is bound to drive most kinds of software development towards parallel programming. To limit the difficulty and overhead of parallel software design and maintenance, it is crucial that parallel programming models allow an easy-to-understand, concise and dense representation of parallelism. Parallel programming models such as Cilk++ and Intel TBBs attempt to offer a better, higher-level abstraction for parallel programming than threads and locking synchronization. It is not straightforward, however, to express all patterns of parallelism in these models. Pipelines are an important parallel construct, although difficult to express in Cilk and TBBs in a straightfor- ward way, not without a verbose restructuring of the code. In this paper we demonstrate that pipeline parallelism can be easily and concisely expressed in a Cilk-like language, which we extend with input, output and input/output dependency types on procedure arguments, enforced at runtime by the scheduler. We evaluate our implementation on real applications and show that our Cilk-like scheduler, extended to track and enforce these dependencies has performance comparable to Cilk++.

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Service user forums have the potential for improving awareness of services, empowering service users and strengthening community partnerships within an inclusive treatment and rehabilitation framework. The research aimed to investigate perspectives about service user involvement in order to inform the development of effective service user forum(s) in west Ireland. A total of 30 interviews with key service providers and 12 interviews with service users were conducted, with interview questions focusing on: (1) awareness of the Service User Support Team and (2) barriers to service user involvement and the development of service user forums in the region. An integrated data collection and thematic analysis was undertaken. Current levels of service user involvement were low, restricted by one-way communication and appeared grounded in user-provider power differentials and stigma relating to drug dependency. Service providers queried the actual terms of reference, capacity and training that would be needed for service user forums to advocate and lobby for service users. The use of existing support groups, creation of internet user forums and rotation of rural meetings were recommended to promote engagement among service users. The research underscores the need for transparency, resources and a framework for good practice that reflects a participatory approach


Read More: http://informahealthcare.com/doi/abs/10.3109/09687637.2012.671860

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Tutoring is commonly employed to prevent early reading failure, and evidence suggests that it can have a positive effect. This article presents findings from a large-scale (n = 734) randomized controlled trial evaluation of the effect of Time to Read—a volunteer tutoring program aimed at children aged 8 to 9 years—on reading comprehension, self-esteem, locus of control, enjoyment of learning, and future aspirations. The study found that the program had only a relatively small effect on children’s aspirations (effect size +0.17, 95% confidence interval [0.015, 0.328]) and no other outcomes. It is suggested that this lack of evidence found may be due to misspecification of the program logic model and outcomes identified and program-related factors, particularly the low dosage of the program.

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Most parallel computing applications in highperformance computing use the Message Passing Interface (MPI) API. Given the fundamental importance of parallel computing to science and engineering research, application correctness is paramount. MPI was originally developed around 1993 by the MPI Forum, a group of vendors, parallel programming researchers, and computational scientists. However, the document defining the standard is not issued by an official standards organization but has become a de facto standard © 2011 ACM.

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We propose a dynamic verification approach for large-scale message passing programs to locate correctness bugs caused by unforeseen nondeterministic interactions. This approach hinges on an efficient protocol to track the causality between nondeterministic message receive operations and potentially matching send operations. We show that causality tracking protocols that rely solely on logical clocks fail to capture all nuances of MPI program behavior, including the variety of ways in which nonblocking calls can complete. Our approach is hinged on formally defining the matches-before relation underlying the MPI standard, and devising lazy update logical clock based algorithms that can correctly discover all potential outcomes of nondeterministic receives in practice. can achieve the same coverage as a vector clock based algorithm while maintaining good scalability. LLCP allows us to analyze realistic MPI programs involving a thousand MPI processes, incurring only modest overheads in terms of communication bandwidth, latency, and memory consumption. © 2011 IEEE.

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Consideration of the ethical, social, and policy implications of research has become increasingly important to scientists and scholars whose work focuses on brain and mind, but limited empirical data exist on the education in ethics available to them. We examined the current landscape of ethics training in neuroscience programs, beginning with the Canadian context specifically, to elucidate the perceived needs of mentors and trainees and offer recommendations for resource development to meet those needs. We surveyed neuroscientists at all training levels and interviewed directors of neuroscience programs and training grants. A total of 88% of survey respondents reported general interest in ethics, and 96% indicated a desire for more ethics content as it applies to brain research and clinical translation. Expert interviews revealed formal ethics education in over half of programs and in 90% of grants-based programs. Lack of time, resources, and expertise, however, are major barriers to expanding ethics content in neuroscience education. We conclude with an initial set of recommendations to address these barriers which includes the development of flexible, tailored ethics education tools, increased financial support for ethics training, and strategies for fostering collaboration between ethics experts, neuroscience program directors, and funding agencies. © 2010 the Authors. Journal Compilation © 2010 International Mind, Brain, and Education Society and Blackwell Publishing, Inc.