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Titlebook: Innovating Christian Education Research; Multidisciplinary Pe Johannes M. Luetz,Beth Green Book 2021 Springer Nature Singapore Pte Ltd. 202

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發(fā)表于 2025-3-21 18:31:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Innovating Christian Education Research
副標(biāo)題Multidisciplinary Pe
編輯Johannes M. Luetz,Beth Green
視頻videohttp://file.papertrans.cn/467/466662/466662.mp4
概述Includes case studies that offer insights into a range of K-12 and Higher Education contexts.Advances theoretical discourses and programmatic perspectives in Christian education.Explores the relevance
圖書(shū)封面Titlebook: Innovating Christian Education Research; Multidisciplinary Pe Johannes M. Luetz,Beth Green Book 2021 Springer Nature Singapore Pte Ltd. 202
描述This book reformulates Christian education as an interdisciplinary and interdenominational vocation for professionals and practitioners. It speaks directly to a range of contemporary contexts with the aim of encouraging conceptual, empirical and practice-informed innovation to build the field of Christian education research. The book invites readers to probe questions concerning epistemologies, ethics, pedagogies and curricula, using multidisciplinary research approaches. By helping thinkers to believe and believers to think, the book seeks to stimulate constructive dialogue about what it means to innovate Christian education research today..Chapters are organised into three main sections. Following an introduction to the volume‘s guiding framework and intended contribution (Chapter 1), Part 1 features conceptual perspectives and comprises research that develops theological, philosophical and theoretical discussion of Christian education (Chapters 2-13). Part 2 encompasses empirical research that examines data to test theory, answer big questions and develop our understanding of Christian education (Chapters 14-18). Finally, Part 3 reflects on contemporary practice contexts and sho
出版日期Book 2021
關(guān)鍵詞Concepts, Practices and Prospects in Christian Education; Theory and Practice in Christian Education;
版次1
doihttps://doi.org/10.1007/978-981-15-8856-3
isbn_softcover978-981-15-8858-7
isbn_ebook978-981-15-8856-3
copyrightSpringer Nature Singapore Pte Ltd. 2021
The information of publication is updating

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Johannes M. Luetz,Beth Greenzed to merely signature-based verification. Moreover, a dedicated incentive mechanism is proposed to motivate high accountability of validation participants. . is platform-friendly that can be compatible with most real-world applications. We fully implement . for Gmail, Twitter and Dropbox to show i
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Mark Stephensightly improved fairness in learning problems without significantly affecting the performance of the models. We conduct extensive experiments evaluating three benchmark datasets using several group fairness metrics and seven state-of-the-art LDP protocols. Overall, this study challenges the common b
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Darren Iselinons by identifying a set of privacy-preserving features extracted from the available OpenID Connect specifications. We conduct a privacy compliance analysis on popular private and governmental OpenID Providers to determine how widely these privacy best practices are used in the wild. The findings in
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Beverley Norsworthyonal bootstrapping for implementing Grain128-AEAD in a more efficient base (.) representation, rather than a binary one. This significantly reduces the overall number of necessary bootstrappings in a homomorphic run of the stream-cipher, for example reducing the number of bootstrappings required in
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Elizabeth Beechonal bootstrapping for implementing Grain128-AEAD in a more efficient base (.) representation, rather than a binary one. This significantly reduces the overall number of necessary bootstrappings in a homomorphic run of the stream-cipher, for example reducing the number of bootstrappings required in
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D. J. Konzivacy regimes (., when . is small). Our paper provides insights for practitioners to use IBU in conjunction with existing LDP mechanisms for more accurate and privacy-preserving data analysis. Finally, we implemented IBU for all fourteen LDP mechanisms into the state-of-the-art . Python package (.)
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