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The assessment approach, embedded in the curriculum of an online modular course at Peking University, requires the students to conduct semester-long digital research projects in English in their major fields of study. Combining quantitative and qualitative methods, evaluation rubrics built around Content, Clarity, and Creative/Critical Thinking were developed, evaluated, and refined over three implementation cycles (eight semesters). The book presents a systematic assessment design framework, a set of effective rubrics for evaluating the digital research project, and authentic examples of written and multimedia presentations by Chinese students. Integrating assessment with instruction and technology, the book provides a valuable practical guide to digital literacy assessment for English education in the Outer and Expanding Circle contexts.  Asbestos Disaster: Lessons from Japan`s Experience by Kenichi Miyamoto English | PDF | 2011 | 328 Pages | ISBN : 443153914X | 5.3 MB Japan's asbestos disasters, encompassing both occupational disease and environmental pollution, have been caused principally by the asbestos textile, asbestos cement water pipe, and construction industries. This book is unique in its interdisciplinary approach to those disasters as it incorporates medical science, economics, political science, law, architecture, environmental engineering, sociology, and journalism. Written by authorities in their fields, the chapters reflect the integration of these disciplines in topics that include a historical review of asbestos issues in Japan, asbestos-related diseases, international aspects of the asbestos industry, public policy, divisions of responsibility, relief activities in emergencies, and countermeasures enacted by local governments. 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The computational experiments are presented to illustrate the pricing processes and models.  Artificial Intelligence and Its Impact on Business by Wolfgang Amann and Agata Stachowicz-Stanusch English | 2020 | ISBN: 1648020739 | 213 Pages | ePUB | 1.13 MB  Artificial Intelligence and Digital Diplomacy: Challenges and Opportunities English | 2021 | ISBN: 3030686469 | 247 Pages | PDF EPUB | 10 MB This volume discusses digital diplomacy and artificial intelligence within the context of global governance and international security. Rapid digitalization has changed the way international actors interact, offering new opportunities for international and bilateral cooperation and reinforcing the role of the emergent actors within global governance. New phenomena linked to digitalization and artificial intelligence are emerging and this volume brings a multidisciplinary, mixed-methods approach to studying them.  Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS by Chang-Wook Lee English | PDF | 2021 | 167 Pages | ISBN : N/A | 142.7 MB Recently, remote sensing and GIS techniques have gained increasing importance for rapid urbanization, the expansion of urban growth, and the enlargement of populations, due to the application of artificial intelligence, machine learning, and deep learning algorithms. This Special Issue aims to present the state-of-the-art research on optics, SAR, hyperspectral images, and GIS techniques for monitoring urban area environments corresponding to changes in times using publicly available and commercial datasets such as satellite and UAV data.  Architecture As a Global System : Scavengers, Tribes, Warlords and Megafirms by Peter Raisbeck English | 2020 | ISBN: 1838676562 | 152 Pages | ePUB | 0.72 MB  Aquatic Ecosystem: Biodiversity, Ecology and Conservation by Mamta Rawat English | EPUB | 2015 | 335 Pages | ISBN : 813222177X | 4.2 MB This book brings together the latest information on the rapid advances and developments in the field of aquatic ecology. India is very rich in terms of biological diversity due to its wide range of habitats and climatic conditions.  Applying the Rasch Model in Social Sciences Using R English | 2020 | ISBN: 113850078X, 1138500771 | 302 Pages | PDF | 13 MB This unique text provides a step-by-step beginner's guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable ("latent") variables. Each chapter is devoted to one popular Rasch model, ranging from the least to the most complex. 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