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Author:
Publisher: Eden House Publishing
ISBN: 0978740300
Category :
Languages : en
Pages : 530
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Book Description
Author:
Publisher: Eden House Publishing
ISBN: 0978740300
Category :
Languages : en
Pages : 530
Get Book Here
Book Description
Author: Arthur Mee
Publisher:
ISBN:
Category : Encyclopedias and dictionaries
Languages : en
Pages : 360
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Book Description
Author:
Publisher: National Geographic Books
ISBN: 9781426201240
Category : History
Languages : en
Pages : 520
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Book Description
A comprehensive, visual reference, enhanced by two thousand photographs and illustrations, provides information on all major fields of knowledge and includes timelines, sidebars, cross-reference, and other useful features.
Author: Jonathan Haber
Publisher: MIT Press
ISBN: 0262538288
Category : Education
Languages : en
Pages : 234
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Book Description
An insightful guide to the practice, teaching, and history of critical thinking—from Aristotle and Plato to Thomas Dewey—for teachers, students, and anyone looking to hone their critical thinking skills. Critical thinking is regularly cited as an essential 21st century skill, the key to success in school and work. Given the propensity to believe fake news, draw incorrect conclusions, and make decisions based on emotion rather than reason, it might even be said that critical thinking is vital to the survival of a democratic society. But what, exactly, is critical thinking? Jonathan Haber explains how the concept of critical thinking emerged, how it has been defined, and how critical thinking skills can be taught and assessed. Haber describes the term's origins in such disciplines as philosophy, psychology, and science. He examines the components of critical thinking, including • structured thinking • language skills • background knowledge • information literacy • intellectual humility • empathy and open-mindedness Haber argues that the most important critical thinking issue today is that not enough people are doing enough of it. Fortunately, critical thinking can be taught, practiced, and evaluated. This book offers a guide for teachers, students, and aspiring critical thinkers everywhere, including advice for educational leaders and policy makers on how to make the teaching and learning of critical thinking an educational priority and practical reality.
Author: Elizabeth S. Spelke
Publisher: Oxford University Press
ISBN: 0190618248
Category : Psychology
Languages : en
Pages : 561
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Book Description
What do infants know? How does the knowledge that they begin with prepare them for learning about the particular physical, cultural, and social world in which they live? Answers to this question shed light not only on infants but on children and adults in all cultures, because the core knowledge possessed by infants never goes away. Instead, it underlies the unspoken, common sense knowledge of people of all ages, in all societies. By studying babies, researchers gain insights into infants themselves, into older children's prodigious capacities for learning, and into some of the unconscious assumptions that guide our thoughts and actions as adults. In this major new work, Elizabeth Spelke shares these insights by distilling the findings from research in developmental, comparative, and cognitive psychology, with excursions into studies of animal cognition in psychology and in systems and cognitive neuroscience, and studies in the computational cognitive sciences. Weaving across these disciplines, she paints a picture of what young infants know, and what they quickly come to learn, about objects, places, numbers, geometry, and people's actions, social engagements, and mental states. A landmark publication in the developmental literature, the book will be essential for students and researchers across the behavioral, brain, and cognitive sciences.
Author: Lee McIntyre
Publisher: MIT Press
ISBN: 0262345986
Category : Philosophy
Languages : en
Pages : 242
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Book Description
How we arrived in a post-truth era, when “alternative facts” replace actual facts, and feelings have more weight than evidence. Are we living in a post-truth world, where “alternative facts” replace actual facts and feelings have more weight than evidence? How did we get here? In this volume in the MIT Press Essential Knowledge series, Lee McIntyre traces the development of the post-truth phenomenon from science denial through the rise of “fake news,” from our psychological blind spots to the public's retreat into “information silos.” What, exactly, is post-truth? Is it wishful thinking, political spin, mass delusion, bold-faced lying? McIntyre analyzes recent examples—claims about inauguration crowd size, crime statistics, and the popular vote—and finds that post-truth is an assertion of ideological supremacy by which its practitioners try to compel someone to believe something regardless of the evidence. Yet post-truth didn't begin with the 2016 election; the denial of scientific facts about smoking, evolution, vaccines, and climate change offers a road map for more widespread fact denial. Add to this the wired-in cognitive biases that make us feel that our conclusions are based on good reasoning even when they are not, the decline of traditional media and the rise of social media, and the emergence of fake news as a political tool, and we have the ideal conditions for post-truth. McIntyre also argues provocatively that the right wing borrowed from postmodernism—specifically, the idea that there is no such thing as objective truth—in its attacks on science and facts. McIntyre argues that we can fight post-truth, and that the first step in fighting post-truth is to understand it.
Author: E.D. Hirsch, Jr.
Publisher: Anchor
ISBN: 030757556X
Category : Education
Languages : en
Pages : 337
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Book Description
This paperback edition, with a new introduction, offers a powerful, compelling, and unassailable argument for reforming America's schooling methods and ideas--by one of America's most important educators, and author of the bestselling Cultural Literacy. For over fifty years, American schools have operated under the assumption that challenging children academically is unnatural for them, that teachers do not need to know the subjects they teach, that the learning "process" should be emphasized over the facts taught. All of this is tragically wrong. Renowned educator and author E. D. Hirsch, Jr., argues that, by disdaining content-based curricula while favoring abstract--and discredited--theories of how a child learns, the ideas uniformly taught by our schools have done terrible harm to America's students. Instead of preparing our children for the highly competitive, information-based economy in which we now live, our schools' practices have severely curtailed their ability, and desire, to learn. With an introduction that surveys developments in education since the hardcover edition was published, The Schools We Need is a passionate and thoughtful book that will appeal to the millions of people who can't understand why America's schools aren't educating our children.
Author: Frank van Harmelen
Publisher: Elsevier
ISBN: 0080557023
Category : Computers
Languages : en
Pages : 1035
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Book Description
Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter* Handle qualitative and uncertain information* Improve computational tractability to solve your problems easily
Author: Ethem Alpaydin
Publisher: MIT Press
ISBN: 0262529513
Category : Computers
Languages : en
Pages : 225
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Book Description
A concise overview of machine learning—computer programs that learn from data—which underlies applications that include recommendation systems, face recognition, and driverless cars. Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition—as well as some we don't yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as “Big Data” has gotten bigger, the theory of machine learning—the foundation of efforts to process that data into knowledge—has also advanced. In this book, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context. He describes the basics of machine learning and some applications; the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances, with such applications as customer segmentation and learning recommendations; and reinforcement learning, when an autonomous agent learns act so as to maximize reward and minimize penalty. Alpaydin then considers some future directions for machine learning and the new field of “data science,” and discusses the ethical and legal implications for data privacy and security.
Author: Valerie Forrestal
Publisher: Rowman & Littlefield
ISBN: 1442253045
Category : Language Arts & Disciplines
Languages : en
Pages : 129
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Book Description
Libraries are creating dynamic knowledge bases to capture both tacit and explicit knowledge and subject expertise for use within and beyond their organizations. In this book, readers will learn to move policies and procedures manuals online using a wiki, get the most out of Microsoft SharePoint with custom portals and Web Parts, and build an FAQ knowledge base from reference management applications such as LibAnswers. Knowledge Management for Libraries guides readers through the process of planning, developing, and launching their own library knowledge base. This A-Z guidebook will teach you how to implement tools that will help your colleagues communicate, collaborate, share documents and files, and greatly clarify and simplify workflows through projects such as: How to Create a Document Management System with Google Drive How to Construct a Web-Based Knowledge Base Using Wiki Software How to Set Up a Private Social Network for Your Staff with Yammer How to Create an Organizational Commons with WordPress How to Build a Library Intranet Site in Microsoft SharePoint How to Create a Dynamic FAQ with Springshare’s LibAnswers
