Описание: This book provides cutting-edge research on networked learning, focusing on issues of sustainability in design for learning, data use, and networked learning connections. It contributes novel theoretical perspectives on networked learning, its role in society and potential for sustainable learning design. It further contributes a set of exemplary empirical cases - exemplary in terms of their innovative learning designs, pedagogical use of technology in connecting learners, and/or critical reflections on implications of utilizing different technologies to support learning. The book is organized into four main sections: 1) Data and datafication, 2) Sustainable learning design, 3) Sociological perspectives on Networked Learning, and 4) Networked learning in times of lockdown. Concluding the book is a final chapter which points to emerging issues within the field of networked learning, based on discussion of perspectives from the chapters The book's focus on the nature of learning and technology-mediated interactions makes it of prime significance to researchers and practitioners in the field of technology-supported teaching and learning.
Автор: Schmidpeter, Rene Название: Responsible Artificial Intelligence ISBN: 3031092449 ISBN-13(EAN): 9783031092442 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial intelligence - and social responsibility. Two topics that are at the top of the business agenda. This book discusses in theory and practice how both topics influence each other. In addition to impulses from the current often controversial scientific discussion, it presents case studies from companies dealing with the specific challenges of artificial intelligence. Particular emphasis is placed on the opportunities that artificial intelligence (AI) offers for companies from different industries. The book shows how dealing with the tension between AI and challenges caused by new corporate social responsibility creates strategic opportunities and also innovation opportunities. It highlights the active involvement of stakeholders in the design process, which is meant to build trust among customers and the public and thus contributes to the innovation and acceptance of artificial intelligence. The book is aimed at researchers and practitioners in the fields of corporate social responsibility as well as artificial intelligence and digitalization. The chapter "Exploring AI with purpose" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Название: Teaching and learning sustainable consumption ISBN: 0367893231 ISBN-13(EAN): 9780367893231 Издательство: Taylor&Francis Рейтинг: Цена: 4592.00 р. Наличие на складе: Нет в наличии.
Описание: This book provides insights into deep learning techniques that impact the implementation strategies toward achieving the Sustainable Development Goals (SDGs) laid down by the United Nations for its 2030 agenda, elaborating on the promises, limits, and the new challenges. It also covers the challenges, hurdles, and opportunities in various applications of deep learning for the SDGs. A comprehensive survey on the major applications and research, based on deep learning techniques focused on SDGs through speech and image processing, IoT, security, AR-VR, formal methods, and blockchain, is a feature of this book. In particular, there is a need to extend research into deep learning and its broader application to many sectors and to assess its impact on achieving the SDGs. The chapters in this book help in finding the use of deep learning across all sections of SDGs. The rapid development of deep learning needs to be supported by the organizational insight and oversight necessary for AI-based technologies in general; hence, this book presents and discusses the implications of how deep learning enables the delivery agenda for sustainable development.
Описание: Analyzing the Danish island of Samso, this book explains sustainability through a biogeophysical lens of how to best use Earth`s limited resources to achieve true sustainability. The methods used derive from the thermodynamic functions of exergy. The exergy-based approach is an important tool for monitoring the indicators of sustainability.
Автор: Djalilova, Nigora Название: Sustainable energy in central asia ISBN: 0367621371 ISBN-13(EAN): 9780367621377 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book argues that sustainable energy development represents a new frontier for many transitional economies, including those countries which are well-endowed with traditional energy resources, as exemplified by the case of Uzbekistan in Central Asia.
Автор: Kumar, Arvind Название: Ecosystem-Based Adaptation ISBN: 0128150254 ISBN-13(EAN): 9780128150252 Издательство: Elsevier Science Рейтинг: Цена: 19875.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Ecosystem-Based Adaptation: Approaches to Sustainable Management of Aquatic Resources presents a close examination of the role of ecosystem-based adaptation in managing river basins, aquifers, flood plains and their vegetation to provide water storage and flood regulation. Furthermore, the book explores improved ecosystem-based services for managing floods, conservation of water and its resources (including watersheds), avoiding water scarcity, and ensuring long-term water security planning, all in the context of sustainable development goals.
This book will help scientists pave the way for easy implementation of sustainable development goals, ensuring a secure and sustainable future.
Описание: This handbook includes three parts, corresponding to the following three domains of OR/MS research related to sustainability: (i) Systems Design, Innovation, and Technology, (ii) Manufacturing, Logistics, and Transportation, and (iii) Sustainable Natural Resource Management.
Описание: This book offers an accurate and updated approach to the main contributions of cosmopolitan biolaw in relation to sustainability, global governance, organizational health care economics and COVID-19.
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