1,017 research outputs found

    Reading, writing and apprenticeships: developing an authentic reading and assessment strategy for graduate apprenticeships.

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    The recent launch of graduate apprenticeships in Scotland requires participating universities to collaborate closely with employers to design and develop innovative curricula to enable apprentices to acquire new knowledge and develop relevant skills both in a traditional university learning and teaching setting as well as in the workplace. This paper argues that the additional context of learning situated in the workplace provides a particular impetus to consider and reflect the requirement and deployment of authentic reading strategies and authentic assessment regimes as essential design elements in these programmes. We present a discussion of the approach we are adopting to designing curricula and preparing learning and assessment resources for graduate apprenticeships in Business Management and Business Management: Financial Services. We focus here specifically on our plans for helping apprentices on these programmes to navigate the plethora of information resources available to them and develop effective reading strategies and information literacy skills in both academic and professional contexts. We indicate how the enhancement of these skills forms an important precursor to tackling the authentic assessments designed for apprentices to evidence their professional and academic learning during their apprenticeships. Our planning and design activity draws first on aspects of our recent research into reading skills and strategies among professionals and business students, as well as on our established track record of delivering a variety of work-based learning programmes. It is envisaged that findings and lessons learned from our work will help guide and inform other institutions across the UK as they establish curricula for graduate or degree apprenticeships

    The data-index: An author-level metric that values impactful data and incentivizes data sharing.

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    Author-level metrics are a widely used measure of scientific success. The h-index and its variants measure publication output (number of publications) and research impact (number of citations). They are often used to influence decisions, such as allocating funding or jobs. Here, we argue that the emphasis on publication output and impact hinders scientific progress in the fields of ecology and evolution because it disincentivizes two fundamental practices: generating impactful (and therefore often long-term) datasets and sharing data. We describe a new author-level metric, the data-index, which values both dataset output (number of datasets) and impact (number of data-index citations), so promotes generating and sharing data as a result. We discuss how it could be implemented and provide user guidelines. The data-index is designed to complement other metrics of scientific success, as scientific contributions are diverse and our value system should reflect that both for the benefit of scientific progress and to create a value system that is more equitable, diverse, and inclusive. Future work should focus on promoting other scientific contributions, such as communicating science, informing policy, mentoring other scientists, and providing open-access code and tools

    Quantifying the impact and relevance of scientific research

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    Qualitative and quantitative methods are being developed to measure the impacts of research on society, but they suffer from serious drawbacks associated with linking a piece of research to its subsequent impacts. We have developed a method to derive impact scores for individual research publications according to their contribution to answering questions of quantified importance to end users of research. To demonstrate the approach, here we evaluate the impacts of research into means of conserving wild bee populations in the UK. For published papers, there is a weak positive correlation between our impact score and the impact factor of the journal. The process identifies publications that provide high quality evidence relating to issues of strong concern. It can also be used to set future research agendas

    Beware greedy algorithms

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    Nestedness – the tendency for specialist species to interact with subsets of the species that generalist species interact with – is a pervasive feature of empirical mutualistic communities (Bascompte, Jordano, Melián, & Olesen, 2003). While theoretical work has discovered important dynamical implications of nestedness, such as enhanced community stability and species coexistence (Bastolla et al., 2009; Rohr, Saavedra, & Bascompte, 2014; Thébault & Fontaine, 2010), there has been less agreement about why networks vary in their levels of nestedness. Answering this question is an important challenge as it has the potential to improve understanding of the mechanisms leading to nested architectures and hence the processes underlying community persistence.Arcadia Cambridge Faculty of Mathematics CMP bursary fund Natural Environment Research Council as part of the Cambridge Earth System Science NERC DTP. Grant Number: NE/L002507/

    Effects of zooplankton size and concentration and light intensity on the feeding behavior of Atlantic mackerel \u3cem\u3eScomber scombrus\u3c/em\u3e

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    Atlantic mackerel Scomber scombrus had low clearance rates when fed older stage copepodites of the copepod Calanus finmarchicus at high concentrations and high clearance rates at low concentrations. These rates were consistent with filter feeding at high concentrations and particulate feeding at low concentrations. Intermediate and small copepods presented together at high concentrations were cleared at lower rates than the large C. finmarchicus, suggesting lower filtration efficiencies. Intermediate and small copepods were presented over a range of light intensities (8.2 x 10-8 to 1.6 x 100 µE m-2 s-1). Feeding rate did not change significantly between 1.6 x 100 and 2.0 x 10-6 µE m-2 s-1, but decreased to nearly zero at 8.2 x 10-8 µE m-2 s-1, indicating a light intensity threshold for feeding of about 10-7 µE m-2 s-1. This threshold enables mackerel to feed throughout the night near the ocean surface. Swimming speed decreased to a lesser degree than feeding rate at the lowest light intensity, indicating that the change in filter-feeding rate is only partially due to the change in speed. The school dispersed in both low and high light levels, but spacing between fish did not appear to be related to feeding rate

    Correspondence with the U. S. Legislature, Smoot, and Sutherland

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    Papers involving a correspondence with the U.S. Legislature, Smoot, and Sutherland
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