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Titlebook: Science Curriculum for the Anthropocene, Volume 2; Curriculum Models fo Xavier Fazio Book 2023 The Editor(s) (if applicable) and The Author

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發(fā)表于 2025-3-21 19:21:47 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Science Curriculum for the Anthropocene, Volume 2
副標(biāo)題Curriculum Models fo
編輯Xavier Fazio
視頻videohttp://file.papertrans.cn/863/862406/862406.mp4
概述Utilizes complexity and systems theories to provide a framework for science curriculum.Presents curricular design principles which will apply across science disciplines.Contexualizes the challenges fo
圖書(shū)封面Titlebook: Science Curriculum for the Anthropocene, Volume 2; Curriculum Models fo Xavier Fazio Book 2023 The Editor(s) (if applicable) and The Author
描述This edited volume, the second of a two-volume set, presents science curriculum exemplars based on existing and future curriculum models. Drawing upon complexity and systems theories, this book will provide a framework for science curriculum that tackles and transforms the interrelated and socio-ecological causes of our ecological crises. The result is a refreshing and hopeful look at K-12 science curriculum in light of our current global trajectory in the twenty-first century.?.Chapter?Future-oriented Science Education Building Sustainability Competences: An Approach to the European?.GreenComp.?Framework?is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com..
出版日期Book 2023
關(guān)鍵詞Science curriculum; Sustainability education; systems thinking; science curriculum; anthropocene
版次1
doihttps://doi.org/10.1007/978-3-031-37391-6
isbn_softcover978-3-031-37392-3
isbn_ebook978-3-031-37391-6
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Xavier Faziormore, our PSI protocol reduces the expensive LPN encoding operations performed by . by a factor of . as well as the computational cost by . hash operations in total. Additionally, while the multi-party PSI protocol (Garimella et al., CRYPTO’21) with a single output is secure, we present a simple at
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Antti Laherto,Tapio Rasa,Lorenzo Miani,Olivia Levrini,Sibel Erdurans, the detecting tool called RCVD is implemented based on the proposed method. Finally, the experimental results indicate that the method has a significant effect on detecting restructured cloning vulnerabilities. By this means, the Orange Pi and WisCam have been detected dozens of clone-caused vuln
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Aik-Ling Tan,Tricia Seow,Theresa Su,Wee Beng Tay,Adeline Yong,Josef Tannomalous frames that substantially deviate from road context will be discerned as intrusions. We have built a prototype of RAIDS with neural networks, and done experiments on a Raspberry Pi with extensive datasets and meaningful intrusion cases. Evaluations show that RAIDS significantly outperforms
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