Smart Learning In Smart Cities

This book introduces readers to the current status of smart learning in China by providing extensive and accurate data from different contexts of smart learning. In particular, it investigates smart learning in smart cities, which extends the concept of smart learning to cover both formal and informal learning, and to support life-long learning. With digital technologies and the Internet becoming increasingly integrated into learning, the demand for smart learning has grown steadily, especially in smart city scenarios. As the need for life-long learning is on the rise, smart learning environments in cities should be equipped to meet people’s demands. Smart learning/education is also one of the key applications of smart cities. Though the book’s content mainly focuses on the educational technology field, research in cities and industries is also included. This book offers a valuable resource for graduate students in educational technology, smart learning environment and smart city researchers, cooperative university managers, and all others who are interested in smart learning industries.

Within the past decade, technology has grown exponentially, and governments have promoted smart cities. Emerging smart cities have become both crucibles and showrooms for the practical application of the internet of things (IoT), cloud computing, and the integration of big data into everyday life. This complex concoction requires new thinking of the synergistic utilization of deep learning and blockchain methods and data-driven decision making with automation infrastructure, autonomous transportation, and more. Advances in Deep Learning Applications for Smart Cities provides a global perspective on current and future trends concerning the integration of deep learning and blockchain for smart cities. It provides valuable insights on the best practices and success factors for smart cities. Covering topics such as digital healthcare, object detection methods, and power consumption, this book is an excellent reference for researchers, scientists, libraries, industry experts, government organizations, students and educators of higher education, business professionals, communication and marketing agencies, entrepreneurs, and academicians.

Most technologies have been harnessed to enable educators to conduct their business remotely. However, the social context of technology as a mediating factor needs to be examined to address the perceptions of barriers to learning due to the lack of social interaction between a teacher and a learner in such a setting. Developing Technology Mediation in Learning Environments is an essential reference source that widens the scene of STEM education with an all-encompassing approach to technology-mediated learning, establishing a context for technology as a mediating factor in education. Featuring research on topics such as distance education, digital storytelling, and mobile learning, this book is ideally designed for teachers, IT consultants, educational software developers, researchers, administrators, and professionals seeking coverage on developing digital skills and professional knowledge using technology.

The promise of competitiveness and economic growth in so-called smart cities is widely advertised in Europe and the US. The promise is focussed on global talent and knowledge economies and not on learning and innovation. But to really achieve smart cities – that is to create the conditions of continuous learning and innovation – this book argues that there is a need to understand what is below the surface and to examine the mechanisms which affect the way cities learn and then connect together. This book draws on quantitative and qualitative data with concrete case studies to show how networks already operating in cities are used to foster and strengthen connections in order to achieve breakthroughs in learning and innovation. Going beyond smart cities means understanding how cities construct, convert and manipulate relationships that grow in urban environments. Cities discussed in this book – Amman, Barcelona, Bilbao, Charlotte,Curitiba, Juarez, Portland, Seattle and Turin – illuminate a blind spot in the literature. Each of these cities has achieved important transformations, and learning has played a key role, one that has been largely ignored in academic circles and practice concerning competitiveness and innovation.

Smart city development and governance is a technological issue and a complex mechanism of the political understanding of technology, environmental interest, and urban interactions in terms of both economic gains and other public values. A smart city is defined by the technology it possesses and how it integrates and uses that technology to improve operational efficiency, propel citizen engagement, and justify inward migration. Understanding the principles and policies at work creates a full understanding of smart cities. Examining the Socio-Technical Impact of Smart Cities is an essential publication that enhances our theoretical understanding of the socio-technical impact of smart cities by promoting the conceptual interactions between social and governmental structures (people, task, structure) with new technologies. Highlighting a wide range of topics including community inclusion, cultural innovation, and public safety, this book is ideally designed for urban planners, entrepreneurs, engineers, government officials, policymakers, academicians, researchers, and students.

This book addresses main issues concerned with the future learning, learning and academic analytics, virtual world and smart user interface, and mobile learning. This book gathers the newest research results of smart learning environments from the aspects of learning, pedagogies, and technologies in learning. It examines the advances in technology development and changes in the field of education that has been affecting and reshaping the learning environment. Then, it proposes that under the changed technological situations, smart learning systems, no matter what platforms (i.e., personal computers, smart phones, and tablets) they are running at, should be aware of the preferences and needs that their users (i.e., the learners and teachers) have, be capable of providing their users with the most appropriate services, helps to enhance the users' learning experiences, and to make the learning efficient.

The perception of smart cities encompasses a strategy that uses different types of technologies, artificial intelligence (AI), and machine learning and in which, through the internet of things (IoT) and sensor-based data collection, the strategy extrapolates information using insights gained from that data to manage or monitor or track assets, resources, and services efficiently in an urban area. Both these models deeply affect the localities where they are applied and can create together immense possibilities for urban recovery, better quality of life, physical and mental health protection, and economic and social redevelopment. Smart Cities and Machine Learning in Urban Health promotes interdisciplinary work that develops and illustrates the concept of resilience in relation to smart city and machine learning. The book examines the ability of an area and its communities to recover quickly from difficulties; the rigidness and resistance of an area and its communities to possible crisis; the ability of an area, its communities, infrastructure, and business to spring back into shape; and the responsiveness and mitigation towards the crisis with a special look at the impact of the COVID-19 pandemic. The research’s theoretical foundation rests on a wide range of non-architectural sources, primarily AI, sociology, urban studies, and technological development, but it explores everything on cases taken from real cities, thus transforming them into pieces of architectural interest. Covering topics such as carbon emissions, digital healthcare systems, and urban transformation, this book is an essential resource for graduate and post-graduate students, policymakers, researchers, university faculty, engineers, public management, hospital administration, professors, and academicians.

Become empowered to build and maintain smarter cities At its core, a smart city is a collection of technological responses to the growing demands, challenges, and complexities of improving the quality of life for billions of people now living in urban centers across the world. The movement to create smarter cities is still in its infancy, but ambitious and creative projects in all types of cities—big and small—around the globe are beginning to make a big difference. New ideas, powered by technology, are positively changing how we move humans and products from one place to another; create and distribute energy; manage waste; combat the climate crisis; build more energy efficient buildings; and improve basic city services through digitalization and the smart use of data. Inside this book you’ll find out: What it really means to create smarter cities How our urban environments are being transformed Big ideas for improving the quality of life for communities Guidance on how to create a smart city strategy The essential role of data in building better cities The major new technologies ready to make a difference in every community Smart Cities For Dummies will give you the knowledge to understand this important topic in depth and be ready to be an agent of change in your community.