Accompanying The Metaverse: A Critical Introduction in CRC Press’ new The Metaverse Series, this book explores the ways in which the Metaverse can be used for education and learning, as well as how it is different from virtual reality (VR) application development. For example, institutions and tutors can make use of the Metaverse space to represent themselves in it or create their own content and share experiences, whilst students can access a wider range of material, learn within appropriate settings and create content to support their own and others’ learning. Key Features: • Provides practical advice from the authors’ collective three decades of work and experience in VR and Metaverse learning and education. • Examines different approaches to learning that are relevant in a VR and Metaverse context, including theoretical and practical approaches to pedagogy. • Suggests different approaches to learning that might be used and explores learning in practice in the metaverse – from early versions such as computer-supported collaborative learning and action learning through to more recent practices such as games and gamification and the use of problem-based learning in virtual worlds. • Examines a number of advantages of learning in the metaverse such as the opportunity to be inclusive towards different approaches to learning, the value of affordances, peer-to-peer learning and genres of participation. This book is aimed primarily at practitioners in the learning and education field, and those who set policy and commission work. It may also be of interest to parents, managers, other interested professionals, students, researchers and lay readers.

This book addresses recent research trends concerning the role of the Metaverse in advancing the education and finance sectors from various perspectives. These trends are explored through multiple case studies employing diverse analytical approaches. The chapters aim to aid scholars and postgraduate students in pursuing future research in this domain and identifying potential developments in Metaverse applications.

This is an open access book. The 2022 3rd International Conference on Artificial Intelligence and Education(ICAIE 2022) will be held in Chengdu, China during June 24-26, 2022. The meeting focused on the new trends in the development of "artificial intelligence" and "education" under the new situation, and jointly discussed how to empower and promote the high-quality development of "artificial intelligence" and "education". An ideal platform to share views and experiences with industry experts. The conference invites experts and scholars in the field to conduct wonderful exchanges based on their own research results based on the development of the times. The themes are around artificial intelligence technology and applications; intelligent and knowledge-based systems; information-based education; intelligent learning; advanced information theory and neural network technology ; software computing and algorithms; intelligent algorithms and computing and many other topics.

This book constitutes the refereed post-conference proceedings of the Third International Conference on Edge Computing and IoT, ICECI 2022, held in December 13-14, 2022 in Changsha, China. Due to COVID-19 pandemic the conference was held virtually. The explosion of the big data generated by ubiquitous edge devices motivates the emergence of applying machine learning systems for edge computing and Internet of Things (IoT) services. Machine learning techniques are delivering a promising solution to the industry for building IoT systems and to make innovation at a rapid pace. The 22 full papers of ICECI 2022 were selected from 76 submissions and present results and ideas in the area of edge computing and IoT.

This book contains the papers presented at the First International Conference on Innovations in Intelligent Computing and Communication, ICIICC 2021, held in Bhubaneswar, Odisha, India, in December, 2022. The 31 full papers presented were thoroughly reviewed and selected from 78 submissions. They are divided in three tracks with the following topics: ​Intelligent Computing; Communications; and Machine Learning and Data Analytics.

In the digital landscape, the Metaverse emerges as a frontier of boundless possibilities. Yet, its potential remains largely untapped. The pressing challenge lies in harnessing the power of machine learning to navigate this uncharted territory, where virtual reality, augmented reality, and immersive technologies converge to redefine human interaction and experience. Impact and Potential of Machine Learning in the Metaverse offers a comprehensive examination of how machine learning techniques can shape the future of the Metaverse. This advanced work addresses key domains such as healthcare, education, gaming, and beyond. By delving into topics like digital twins in healthcare and blockchain-enabled security, the book not only sheds light on advancements but also confronts challenges head-on, inspiring scholars to explore new research directions and interdisciplinary collaborations. Through real-world case studies and practical applications, readers gain actionable insights into leveraging machine learning for transformative impact in the Metaverse.

Artificial Intelligence of Things (AIoT): Current and Future Trends brings together researchers and developers from a wide range of domains to share ideas on how to implement technical advances, create application areas for intelligent systems, and how to develop new services and smart devices connected to the Internet. Section One covers AIoT in Everything, providing a wide range of applications for AIoT methods and technologies. Section Two gives readers comprehensive guidance on AIoT in Societal Research and Development, with practical case studies of how AIoT is impacting cultures around the world. Section Three covers the impact of AIoT in educational settings.The book also covers new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, and computing power. These new areas come with various requirements in terms of reliability, quality of service, and energy efficiency. - Provides readers with up-to-date and comprehensive information on the latest advancements in AIoT, including wireless technologies, pervasive sensing, multimedia sensing, machine learning, deep learning, and computing power - Explores the possibilities of new domains, services, and business models that can be created using AIoT - Discusses the potential impact of AIoT on society, including its potential to improve efficiency, reduce costs, and enhance quality of life