"In the new era of digital communication, collective problem solving is increasingly important. With the internet and digitalization of information, large groups can now solve problems together in completely different ways than are possible in offline settings (Lévy, 1999). These novel online technologies and practices challenge our conceptions of individualized human problem solving in various domains, including art, science, industry, business, education, technology, software design and medicine. It is urgent that we rethink our understanding of intelligence in a profound way. Among scholars, collective intelligence (CI) is increasingly used as a broad, multidisciplinary term to describe new types of collective problem solving. This notion of intelligence is not about individual ability or computer algorithms; rather, it describes how collectives of people, both small and very large groups, solve problems. This book intends to give an overview of some of the most important basic problem-solving mechanisms that comprise CI"-- Provided by publisher.

This book shows how collective intelligence combined with new technologies can help us solve the world's biggest problems.

Effective Use of Collective Peer Teaching in Teacher Education investigates the learning benefits of letting students assume leadership roles in the classroom, emphasizing both theoretical analysis and firsthand empirical research conducted with pre-service teachers. Building on Vygotsky's (1987) sociocultural theory of human learning and research on collective intelligence, this volume introduces peer teaching as a pedagogical practice with a significant and underexplored learning potential. The first part of this book focuses on findings from two separate teacher education programs, while the second analyzes the learning processes through three conceptualized learning positions: peer teacher learning, peer student learning, and collective peer learning. Investigating the balance and interaction of these processes, this book argues that teaching and learning cannot at length be separated from each other and discusses the practical implications of this idea. This book will appeal to researchers, faculty, and teacher educators with interests in theories of learning and international and comparative education. Its crucial insights into how learning can be maximized in the classroom will provide a nuanced picture of the complexity of learning processes.

"A new field of collective intelligence has emerged in the last few years, prompted by a wave of digital technologies that make it possible for organizations and societies to think at large scale. This "bigger mind"--human and machine capabilities working together--has the potential to solve the great challenges of our time. So why do smart technologies not automatically lead to smart results? Gathering insights from diverse fields, including philosophy, computer science, and biology, Big Mind reveals how collective intelligence can guide corporations, governments, universities, and societies to make the most of human brains and digital technologies"--Amazon.com.

Educational technology is controversial – some see it as essential to providing free global learning, others view it as a dangerous distraction that undermines good education. In both instances, most theories that have previously been applied to educational technology do not account for the distinctive nature and vast potential of technology. This book addresses this issue, exploring how education has been bound up with technology from the beginning, and recognising that educational aims have already been shaped by technologies. Offering a ‘dialogic’ theory of educational technology, Rupert Wegerif and Louis Major respond to contemporary challenges to education within this book, including, but not limited to, climate change, misinformation on the internet and the impact of Artificial Intelligence. Chapters introduce, discuss, and contextualise key theories and illustrate through case studies their uses within a diverse range of educational contexts, spanning from primary education to adult lifelong learning. Each chapter also concludes with a short summary, demonstrating how these theories translate to practical implications for design. A fascinating response to current developments in educational technology, this is a crucial read for all involved in creating, researching or making decisions about the use of technologies within educational contexts.

Written by the foremost experts in human intelligence. It not only includes traditional topics, such as the nature, measurement, and development of intelligence, but also contemporary research into intelligence and video games, collective intelligence, emotional intelligence, and leadership intelligence. In an area of study that has been fraught with ideological differences, this Handbook provides scientifically balanced and objective chapters covering a wide range of topics. It does not shy away from material that historically has been emotionally charged and sometimes covered in biased ways, such as intellectual disability, race and intelligence, culture and intelligence, and intelligence testing. The overview provided by this two-volume set leaves virtually no area of intelligence research uncovered, making it an ideal resource for undergraduates, graduate students, and professionals looking for a refresher or a summary of the new developments.