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Every day we make intuitive decisions—from the mundane choice of what clothes to wear to more important issues such as which new car "feels right" or which person would be "good" for a particular job. To varying degrees, logic plays a role in these decisions, but at a certain point all of us rely on intuition, our sixth sense. Is this the right way to decide? Should we trust our gut feelings? When intuition conflicts with logic, what should we do? In Educating Intuition, Robin M. Hogarth lays bare this mysterious process so fundamental to daily life by offering the first comprehensive overview of what the science of psychology can tell us about intuition—where it comes from, how it works, whether we can trust it. From this literature and his own research, Hogarth finds that intuition is a normal and important component of thought that has its roots in processes of tacit learning. Environment, attention, experience, expertise, and the success of the scientific method all form part of Hogarth's perspective on intuition, leading him to the surprising—but natural—conclusion that we can educate our sixth sense. To this end he offers concrete suggestions and exercises to help readers develop their intuitive skills and habits for learning the "right" lessons from experience. Artfully and accessibly combining cognitive science, the latest research in psychology, and Hogarth's own observations, Educating Intuition eschews the vague approach to the topic that has become commonplace and provides instead a wholly engaging and practical guide to enhancing our intuitive skills.
From Mark Quirk, recipient of the 2006 Society of Teachers of Family Medicine's Excellence in Education award, comes the latest on improving medical education. In this volume, Quirk explores metacognition, the idea that we can think about the way we or other people think, and thus gain a better understanding of ourselves, our own cognitive processes, and the patients we seek to help. Written for medical educators--from medical school faculty to residents--this book will help you teach your students and interns how to extrapolate lessons from experience and integrate learning and practice. It will help them to think more clearly and thoroughly about what they read, hear, and learn on a day-to-day basis and thus become more informed and humanistic doctors.
Examines the tension between intuitive and analytical ways of making sense of the world by exploring musical knowledge and experience.
I challenge you to find a field as interesting and exciting as Deep Learning. This book is a spin-off from my previous book "The Deep Learning AI Playbook." The Playbook was meant for a professional audience. This is targeted to a much wider audience. There are two kinds of audiences, those looking to explore and those looking to optimize. There are two ways to learn, learning by exploration and learning by exploitation. This book is about exploration into the emerging field of Deep Learning. It's more like a popular science book and less of a business book. It's not going to provide any practical advice of how to use or deploy Deep Learning. However, it's a book that will explore this new field in many more perspectives. So at the very least, you'll walk away with the ability to hold a very informative and impressive conversation about this unique subject. It's my hope that having less constraints on what I can express can lead to a more insightful and novel book. There are plenty of ideas that are either too general or too speculative to fit within a business oriented book. With a business book, you always want to manage expectations. Artificial Intelligence is one of those topics that you want to keep speaking in a conservative manner. That's one reason I felt the need for this book. Perhaps the freedom to be more liberal can give readers more ideas as where this field is heading. Also, it's not just business that needs to understand Deep Learning. We are all going to be profoundly impacted by this new kind of Artificial Intelligence and it is critical we all develop at least a good intuition of how it will change the world.The images in the front cover are all generated using Deep Learning technology.
In writing the present book I have had in mind the following objectives: - To propose a theoretical, comprehensive view of the domain of intuition. - To identify and organize the experimental findings related to intuition scattered in a wide variety of research contexts. - To reveal the educational implications of the idea, developed for science and mathematics education. Most of the existing monographs in the field of intuition are mainly concerned with theoretical debates - definitions, philosophical attitudes, historical considerations. (See, especially the works of Wild (1938), of Bunge (1 962) and of Noddings and Shore (1 984).) A notable exception is the book by Westcott (1968), which combines theoretical analyses with the author’s own experimental studies. But, so far, no attempt has been made to identify systematically those findings, spread throughout the research literature, which could contribute to the deciphering of the mechanisms of intuition. Very often the relevant studies do not refer explicitly to intuition. Even when this term is used it occurs, usually, as a self-evident, common sense term.
An argument that moral reasoning plays a crucial role in moral judgment through episodes of rational reflection that have established patterns for automatic judgment foundation. Rationalists about the psychology of moral judgment argue that moral cognition has a rational foundation. Recent challenges to this account, based on findings in the empirical psychology of moral judgment, contend that moral thinking has no rational basis. In this book, Hanno Sauer argues that moral reasoning does play a role in moral judgment—but not, as is commonly supposed, because conscious reasoning produces moral judgments directly. Moral reasoning figures in the acquisition, formation, maintenance, and reflective correction of moral intuitions. Sauer proposes that when we make moral judgments we draw on a stable repertoire of intuitions about what is morally acceptable, which we have acquired over the course of our moral education—episodes of rational reflection that have established patterns for automatic judgment foundation. Moral judgments are educated and rationally amenable moral intuitions. Sauer engages extensively with the empirical evidence on the psychology of moral judgment and argues that it can be shown empirically that reasoning plays a crucial role in moral judgment. He offers detailed counterarguments to the anti-rationalist challenge (the claim that reason and reasoning play no significant part in morality and moral judgment) and the emotionist challenge (the argument for the emotional basis of moral judgment). Finally, he uses Joshua Greene's Dual Process model of moral cognition to test the empirical viability and normative persuasiveness of his account of educated intuitions. Sauer shows that moral judgments can be automatic, emotional, intuitive, and rational at the same time.
This book explores the science behind intuitive decision-making in business, and shows how people's innate capacity for intuition can be nurtured and strengthened to maximize performance. We are all familiar with those perplexing situations when we think we 'just know' without knowing how or why we know. In professional life it might be the job candidate's CV that checks all the boxes but somehow doesn't stack-up: should we perform some due diligence and dig a little deeper? In personal life it could be the apartment that we're looking to rent that just felt right the minute we walked through the front door: should we trust our hunch and grab it while we can? What if time is of the essence? What if there isn't any more data to be had in the time available? In this volume, Eugene Sadler-Smith examines why situations like these often leave us in a quandary, and why these decisions so often leave us in two minds. He reveals that metaphorically speaking, we have two minds in one brain: an 'analytical mind' and an 'intuitive mind', which sometimes come to quite different conclusions about what we ought to do in those consequential decisions that permeate our professional and personal lives. Rather than thinking of our intuitive and analytical minds in constant battle with each other, we might instead think of them as two information-processing systems that have evolved to complement each other. The main idea of this book is that our analytical mind evolved to 'solve' whilst our intuitive mind evolved to 'sense'. Neither is infallible, and our intuitions can be both flawed and marvellous at the same time. The author's clear and detailed explanation of the science behind intuition reveals how we can make intelligent use of our intuition to sense and solve our way through a world that is fast-moving, complex, and uncertain.
This groundbreaking interdisciplinary Handbook showcases the latest intuition research, integrated in a framework that reconciles various views on what intuition is and how it works. The internationally renowned group of contributors presents their findings in five areas. Part I explores different facets of the intuiting process and its outcome, the role of consciousness and affect, and alternative ways of capturing intuition. Part II deals with its function in expertise, strategy, entrepreneurship, and ethics. Part III outlines intuitive decision making in critical occupations, the legal profession, medicine, the film and wine industries, and teaching. Part IV pushes the boundaries of our current understanding by exploring the possibility of non local intuition, based on the principles of quantum holography. Part V investigates different ways of developing intuitive skills. This cutting-edge, comprehensive Handbook will prove essential for academics and research students of the social sciences, particularly management, psychology, sociology, entrepreneurship, leadership, team dynamics, HR and training. It will also be an invaluable resource for industry professionals searching for soft-core methods to increase productivity and creativity/innovation, to improve leadership and organizational climate, or to adopt new staff training and development methods.
Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.
This updated and revitalized edition is a unique primer on how successful strategists learn to think strategically. The author impels students, executives and policy leaders to expand their focus beyond a strategic planning model to a more expansive and complex notion of strategy that includes strategic thinking as a response to innovation needs and perpetual change. This authoritative book traces the history of strategy, differentiates strategic thinking from strategic planning, describes the influence of culture, streamlines the roles of rationality and intuition and identifies five key attributes for learning to thinking strategically. Learning to Think Strategically asserts that learning is the critical link to transforming strategic thinking into a sustainable competitive advantage. Sloan presents a previously unexamined account of the relationship between strategic thinking and the learning process involved — taking learning from the academic to the everyday.