34,389 research outputs found

    Big data for monitoring educational systems

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    This report considers “how advances in big data are likely to transform the context and methodology of monitoring educational systems within a long-term perspective (10-30 years) and impact the evidence based policy development in the sector”, big data are “large amounts of different types of data produced with high velocity from a high number of various types of sources.” Five independent experts were commissioned by Ecorys, responding to themes of: students' privacy, educational equity and efficiency, student tracking, assessment and skills. The experts were asked to consider the “macro perspective on governance on educational systems at all levels from primary, secondary education and tertiary – the latter covering all aspects of tertiary from further, to higher, and to VET”, prioritising primary and secondary levels of education

    ‘A double-edged sword. This is powerful but it could be used destructively’: Perspectives of early career education researchers on learning analytics

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    Learning analytics has been increasingly outlined as a powerful tool for measuring, analysing, and predicting learning experiences and behaviours. The rising use of learning analytics means that many educational researchers now require new ranges of technical analytical skills to contribute to an increasingly data-heavy field. However, it has been argued that educational data scientists are a ‘scarce breed’ (Buckingham Shum et al., 2013) and that more resources are needed to support the next generation of early career researchers in the education field. At the same time, little is known about how early career education researchers feel towards learning analytics and whether it is important to their current and future research practices. Using a thematic analysis of a participatory learning analytics workshop discussions with 25 early career education researchers, we outline in this article their ambitions, challenges and anxieties towards learning analytics. In doing so, we have provided a roadmap for how the learning analytics field might evolve and practical implications for supporting early career researchers’ development

    Employment and Working Conditions of Selected Types of Platform Work

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    Platform work is a form of employment that uses an online platform to match the supply of and demand for paid labour. In Europe, platform work is still small in scale but is rapidly developing. The types of work offered through platforms are ever-increasing, as are the challenges for existing regulatory frameworks. This report explores the working and employment conditions of three of the most common types of platform work in Europe. For each of these types, Eurofound assesses the physical and social environment, autonomy, employment status and access to social protection, and earnings and taxation based on interviews with platform workers. A comparative analysis of the regulatory frameworks applying to platform work in 18 EU Member States accompanies this review. This looks into workers’ employment status, the formal relationships between clients, workers and platforms, and the organisation and representation of workers and platforms

    Automated Image Analysis of Offshore Infrastructure Marine Biofouling

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    Supplementary Materials: The following are available online at www.mdpi.com/2077-1312/6/1/2/s1 Acknowledgments: This project was funded by the Natural Environmental Research Council (NERC) project No.: NE/N019865/1. The authors would like to thank Melanie Netherway and Don Orr, from our project partner (company requested to remain anonymous) for the provision of survey footage and for supporting the project. In addition, many thanks to Oscar Beijbom, University California Berkley for providing guidance and support to the project. Additional thanks to Calum Reay, Bibby Offshore; George Gair, Subsea 7; and Alan Buchan, Wood Group Kenny for help with footage collection and for allowing us to host workshops with them and their teams, their feedback and insights were very much appreciated.Peer reviewedPublisher PD
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