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Titlebook: Researching Within the Educational Margins; Strategies for Commu Deborah L. Mulligan,Patrick Alan Danaher Book 2020 The Editor(s) (if appli

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書目名稱Researching Within the Educational Margins
副標(biāo)題Strategies for Commu
編輯Deborah L. Mulligan,Patrick Alan Danaher
視頻videohttp://file.papertrans.cn/829/828131/828131.mp4
概述Examines the challenges of researchers working on the educational margins of society.Investigates various different research strategies to ensure remains ethical and empowering.Situates itself against
叢書名稱Palgrave Studies in Education Research Methods
圖書封面Titlebook: Researching Within the Educational Margins; Strategies for Commu Deborah L. Mulligan,Patrick Alan Danaher Book 2020 The Editor(s) (if appli
描述This book explores the challenges and considerations of researchers who work on the educational margins of society. It investigates the diverse and specific research strategies that have been developed to ensure research is authentic, ethical, rigorous, situated and, where possible, empowering. Traversing cutting-edge global research, the chapters demonstrate the effectiveness of specific research methods when researching within educational margins related to particular ‘wicked problems’. Against a backdrop of increasing scrutiny of the conduct of researchers working with marginalised people, this book provides an informed and empowering overview of research methods for those working with marginalised groups..
出版日期Book 2020
關(guān)鍵詞Education research methods; Ethical research methods; Conceptualising research; Occupationally Mobile L
版次1
doihttps://doi.org/10.1007/978-3-030-48845-1
isbn_softcover978-3-030-48847-5
isbn_ebook978-3-030-48845-1Series ISSN 2662-7345 Series E-ISSN 2662-7353
issn_series 2662-7345
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Deborah L. Mulligan,Patrick Alan Danaherptor, face recognition system can considerably improve prediction performance. Recently, a new descriptor, named local intensity area descriptor (LIAD), has been introduced for face recognition in ideal and noise conditions. It has been proven to be insensitive to ideal and noise images and has low
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Michelle Jaymanpixels differencing to represent the complexity of pixels, and applied it to estimate how many bit will be hidden into. As the difference with small value, it means that two pixels can not tolerated with larger change, therefore, few secret bit should be embedded into these pixels. PVD scheme did no
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Corey Bloomfield,Bobby Harreveldall and medium size databases. However, when applied on larger databases, the performance of this method becomes an important issue and current algorithms have very long execution times. Modern CPU/GPU architectures are composed of many cores, which are massively threaded and provide a large amount
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Naomi Ryanall and medium size databases. However, when applied on larger databases, the performance of this method becomes an important issue and current algorithms have very long execution times. Modern CPU/GPU architectures are composed of many cores, which are massively threaded and provide a large amount
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Jennifer Clutterbuckhe problem of lack of comprehensive analysis. In this paper, considering the high dimensions and time-varying characteristics of agricultural big data, a new time series analysis model based on Genetic Feedback Process Neural Network (GFPNN) is proposed to analyze the influence of regional agricultu
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