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What a phenomenal read and with such invigorating thoughts! The creator exposes the significance and the requirement for man-made reasoning and mechanical technology to assist kids with mental handicaps. In this book, the writer investigates the convergence among AI and mental handicaps, making a value-based case for how AI's essential combination into a custom curriculum homerooms can reform understudies' learning results.
This work brings together the insights of ten designers, researchers, and educators, each invited to contribute a chapter that relates his or her experience develping or using a children's robotic learning device. This growing area of endeavour is expected to have prodound and long-lasting effets on the ways children learn and develop, and its participants come from a wide range of backgrounds.
A comprehensive overview of an interdisciplinary approach to robotics that takes direct inspiration from the developmental and learning phenomena observed in children's cognitive development. Developmental robotics is a collaborative and interdisciplinary approach to robotics that is directly inspired by the developmental principles and mechanisms observed in children's cognitive development. It builds on the idea that the robot, using a set of intrinsic developmental principles regulating the real-time interaction of its body, brain, and environment, can autonomously acquire an increasingly complex set of sensorimotor and mental capabilities. This volume, drawing on insights from psychology, computer science, linguistics, neuroscience, and robotics, offers the first comprehensive overview of a rapidly growing field. After providing some essential background information on robotics and developmental psychology, the book looks in detail at how developmental robotics models and experiments have attempted to realize a range of behavioral and cognitive capabilities. The examples in these chapters were chosen because of their direct correspondence with specific issues in child psychology research; each chapter begins with a concise and accessible overview of relevant empirical and theoretical findings in developmental psychology. The chapters cover intrinsic motivation and curiosity; motor development, examining both manipulation and locomotion; perceptual development, including face recognition and perception of space; social learning, emphasizing such phenomena as joint attention and cooperation; language, from phonetic babbling to syntactic processing; and abstract knowledge, including models of number learning and reasoning strategies. Boxed text offers technical and methodological details for both psychology and robotics experiments.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
This book approaches STEAM (Science, Technology, Engineering, the Arts and Mathematics) in early childhood education from multiple angles. It focuses on the teaching and learning of children from two years of age to the early years of school. Proponents of STEAM describe how it can create opportunities for children to learn creatively, and various chapter authors make strong connections between discipline areas within the context of an informal curriculum. Others advocate for an integrated STEM, rather than STEAM, approach. With a light touch on theory and a focus on how to embed STE(A)M in an integrated early childhood curriculum, the editors and contributors examine the STEAM versus STEM question from multiple angles. The chapters provide helpful frameworks for parents, teachers and higher education institutions, and make practical suggestions of ways to support young children’s inquiry learning. Drawing on pedagogy and research from around the world, this book will be of interest to scholars of STEAM education, early childhood educators, students of early childhood education and parents of young children.
"A dizzying display of intellect and wild imaginings by Moravec, a world-class roboticist who has himself developed clever beasts . . . Undeniably, Moravec comes across as a highly knowledgeable and creative talent--which is just what the field needs".--Kirkus Reviews.
Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]
As global communities are attempting to transform into more efficient and technologically-advanced metropolises, artificial intelligence (AI) has taken a firm grasp on various professional fields. Technology used in these industries is transforming by introducing intelligent techniques including machine learning, cognitive computing, and computer vision. This has raised significant attention among researchers and practitioners on the specific impact that these smart technologies have and what challenges remain. Applications of Artificial Intelligence for Smart Technology is a pivotal reference source that provides vital research on the implementation of advanced technological techniques in professional industries through the use of AI. While highlighting topics such as pattern recognition, computational imaging, and machine learning, this publication explores challenges that various fields currently face when applying these technologies and examines the future uses of AI. This book is ideally designed for researchers, developers, managers, academicians, analysts, students, and practitioners seeking current research on the involvement of AI in professional practices.
The COVID-19 pandemic has provided a unique opportunity to examine our understanding of the opportunities and challenges that ICTs offer to support the functioning of all aspects of education. The closure of educational institutions has forced a radical change in the practices of teachers and societies regarding the use of ICT to support teaching, learning, social relations and work in many sectors. In the training of digital skills, the instrumental mastery of ICT continues to outweigh the preparation of citizens to make constructive and safe use of technologies. After two decades of educational policies, we continue to reduce digital literacy to instrumental skills. That is, you do not learn why to use educational technologies and how, or to be critical of their use. Education 4.0 seeks to develop and enhance the digital skills of students and teachers in digital teaching environments, through the creation of a line of academic training programs for undergraduate, postgraduate and continuing education. This article collection welcomes contributions to improve training policies and practices in Educational Digital Transformation for educational development (strategies, activities, proposals for assessment and certification of skills).