Download or read book Learning to Reason written by Nancy Rodgers and published by John Wiley & Sons. This book was released on 2011-09-15 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to develop your reasoning skills and how to writewell-reasoned proofs Learning to Reason shows you how to use the basic elements ofmathematical language to develop highly sophisticated, logicalreasoning skills. You'll get clear, concise, easy-to-followinstructions on the process of writing proofs, including thenecessary reasoning techniques and syntax for constructingwell-written arguments. Through in-depth coverage of logic, sets,and relations, Learning to Reason offers a meaningful, integratedview of modern mathematics, cuts through confusing terms and ideas,and provides a much-needed bridge to advanced work in mathematicsas well as computer science. Original, inspiring, and designed formaximum comprehension, this remarkable book: * Clearly explains how to write compound sentences in equivalentforms and use them in valid arguments * Presents simple techniques on how to structure your thinking andwriting to form well-reasoned proofs * Reinforces these techniques through a survey of sets--thebuilding blocks of mathematics * Examines the fundamental types of relations, which is "where theaction is" in mathematics * Provides relevant examples and class-tested exercises designed tomaximize the learning experience * Includes a mind-building game/exercise space atwww.wiley.com/products/subject/mathematics/
Download or read book The Challenge of Developing Statistical Literacy Reasoning and Thinking written by Dani Ben-Zvi and published by Springer Science & Business Media. This book was released on 2006-02-23 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unique in that it collects, presents, and synthesizes cutting edge research on different aspects of statistical reasoning and applies this research to the teaching of statistics to students at all educational levels, this volume will prove of great value to mathematics and statistics education researchers, statistics educators, statisticians, cognitive psychologists, mathematics teachers, mathematics and statistics curriculum developers, and quantitative literacy experts in education and government.
Download or read book Creating the Anywhere Anytime Classroom written by Casey S. Reason and published by Solution Tree. This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology continues to shift the educational landscape, most K-12 teachers' instructional strategies remain mostly unchanged. Discover how to enhance student learning in online and blended classrooms. This user-friendly resource offers direct guidance on the steps K-12 educators must take to facilitate online learning and maximize student growth using readily available digital tools. Each chapter includes suggestions, tips, and examples tied to pedagogical practices associated with learning online, so you can confidently and fully engage in the best practices with your students. Benefits Use technology tools like online classroom platforms and apps to foster digitally enhanced learning. Understand the benefits of learning online and its advantages over traditional real-world classrooms. Learn how to effectively facilitate digital learning experiences and organize the online learning space in a way that encourages comfort, motivation, and engagement. Study the challenges and opportunities teaching online offers. Gain strategies and examples to help initiate and sustain digital learning while engaging students. Contents Chapter 1: Understanding the Modality and the Moment Chapter 2: Planning Curriculum, Assessment, and Preinstruction Chapter 3: Preparing the Learning Experience Chapter 4: Initiating the Learning Experience Chapter 5: Maintaining the Momentum in the Learning Experience Chapter 6: Teaching Thoughtful Online Collaboration Chapter 7: Managing and Overcoming Toxic Conversations Chapter 8: Concluding the Learning Experience Concluding Thoughts
Download or read book Leading a Learning Organization written by Casey Reason and published by Solution Tree Press. This book was released on 2011-11-22 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improve the quality of organizational learning in your school and address how current demands for rapid change and accountability contribute to levels of fear and stress. The author draws on educational, psychological, and neuroscientific research to show how leaders can change the prevailing emotional climate or tone of a school to promote deeper learning at all levels.
Download or read book Learning to Reason written by Roni Khardon and published by . This book was released on 1994 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Seeing Reason written by Keith Stenning and published by Oxford University Press, USA. This book was released on 2002 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title includes the following features: A new volume in the renowned Oxford Cognitive Science Series; Presents important new findings on human reasoning and reasoning skills; Explores the relationship between cognitive and social aspects of communication and reasoning; Trulyinterdisciplinary - accessible to both psychologists and philosophers
Download or read book Learning in the Age of Digital Reason written by Petar Jandrić and published by Springer. This book was released on 2017-07-17 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning in the Age of Digital Reason contains 16 in-depth dialogues between Petar Jandrić and leading scholars and practitioners in diverse fields of history, philosophy, media theory, education, practice, activism, and arts. The book creates a postdisciplinary snapshot of our reality, and the ways we experience that reality, at the moment here and now. It historicises our current views to human learning, and experiments with collective knowledge making and the relationships between theory and practice. It stands firmly at the side of the weak and the oppressed, and aims at critical emancipation. Learning in the Age of Digital Reason is playful and serious. It addresses important issues of our times and avoids the omnipresent (academic) sin of pretentiousness, thus making an important statement: research and education can be sexy. Interlocutors presented in the book (in order of appearance): Larry Cuban, Andrew Feenberg, Michael Adrian Peters, Fred Turner, Richard Barbrook, McKenzie Wark, Henry Giroux, Peter McLaren, Siân Bayne, Howard Rheingold, Astra Taylor, Marcell Mars, Tomislav Medak, Ana Kuzmanić, Paul Levinson, Kathy Rae Huffman, Ana Peraica, Dmitry Vilensky (Chto Delat?), Christine Sinclair, and Hamish Mcleod.
Download or read book Building Students Historical Literacies written by Jeffery D. Nokes and published by Routledge. This book was released on 2013 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the notion of historical literacy, adopts a research-supported stance on literacy processes, and promotes the integration of content-area literacy instruction into history content teaching.
Download or read book How Learning Works written by Susan A. Ambrose and published by John Wiley & Sons. This book was released on 2010-04-16 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for How Learning Works "How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching "This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." —Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education "Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." —Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching "As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." —From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning
Download or read book Neural Symbolic Learning Systems written by Artur S. d'Avila Garcez and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is concerned with producing devices that help or replace human beings in their daily activities. Neural-symbolic learning systems play a central role in this task by combining, and trying to benefit from, the advantages of both the neural and symbolic paradigms of artificial intelligence. This book provides a comprehensive introduction to the field of neural-symbolic learning systems, and an invaluable overview of the latest research issues in this area. It is divided into three sections, covering the main topics of neural-symbolic integration - theoretical advances in knowledge representation and learning, knowledge extraction from trained neural networks, and inconsistency handling in neural-symbolic systems. Each section provides a balance of theory and practice, giving the results of applications using real-world problems in areas such as DNA sequence analysis, power systems fault diagnosis, and software requirements specifications. Neural-Symbolic Learning Systems will be invaluable reading for researchers and graduate students in Engineering, Computing Science, Artificial Intelligence, Machine Learning and Neurocomputing. It will also be of interest to Intelligent Systems practitioners and anyone interested in applications of hybrid artificial intelligence systems.
Download or read book Chance Love and Logic written by Charles Sanders Peirce and published by . This book was released on 1923 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book How People Learn written by National Research Council and published by National Academies Press. This book was released on 2000-08-11 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: First released in the Spring of 1999, How People Learn has been expanded to show how the theories and insights from the original book can translate into actions and practice, now making a real connection between classroom activities and learning behavior. This edition includes far-reaching suggestions for research that could increase the impact that classroom teaching has on actual learning. Like the original edition, this book offers exciting new research about the mind and the brain that provides answers to a number of compelling questions. When do infants begin to learn? How do experts learn and how is this different from non-experts? What can teachers and schools do-with curricula, classroom settings, and teaching methodsâ€"to help children learn most effectively? New evidence from many branches of science has significantly added to our understanding of what it means to know, from the neural processes that occur during learning to the influence of culture on what people see and absorb. How People Learn examines these findings and their implications for what we teach, how we teach it, and how we assess what our children learn. The book uses exemplary teaching to illustrate how approaches based on what we now know result in in-depth learning. This new knowledge calls into question concepts and practices firmly entrenched in our current education system. Topics include: How learning actually changes the physical structure of the brain. How existing knowledge affects what people notice and how they learn. What the thought processes of experts tell us about how to teach. The amazing learning potential of infants. The relationship of classroom learning and everyday settings of community and workplace. Learning needs and opportunities for teachers. A realistic look at the role of technology in education.
Download or read book International Handbook of Research in Statistics Education written by Dani Ben-Zvi and published by Springer. This book was released on 2017-12-08 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook connects the practice of statistics to the teaching and learning of the subject with contributions from experts in several disciplines. Chapters present current challenges and methods of statistics education in the changing world for statistics and mathematics educators. Issues addressed include current and future challenges in professional development of teachers, use of technology tools, design of learning environments and appropriate student assessments. This handbook presents challenging and inspiring international research perspectives on the history and nature, current issues, and future directions of statistics education and statistics education research.
Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Download or read book The Reason I Jump written by Naoki Higashida and published by Random House. This book was released on 2013-08-27 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: “One of the most remarkable books I’ve ever read. It’s truly moving, eye-opening, incredibly vivid.”—Jon Stewart, The Daily Show NAMED ONE OF THE BEST BOOKS OF THE YEAR BY NPR • The Wall Street Journal • Bloomberg Business • Bookish FINALIST FOR THE BOOKS FOR A BETTER LIFE FIRST BOOK AWARD • NEW YORK TIMES BESTSELLER You’ve never read a book like The Reason I Jump. Written by Naoki Higashida, a very smart, very self-aware, and very charming thirteen-year-old boy with autism, it is a one-of-a-kind memoir that demonstrates how an autistic mind thinks, feels, perceives, and responds in ways few of us can imagine. Parents and family members who never thought they could get inside the head of their autistic loved one at last have a way to break through to the curious, subtle, and complex life within. Using an alphabet grid to painstakingly construct words, sentences, and thoughts that he is unable to speak out loud, Naoki answers even the most delicate questions that people want to know. Questions such as: “Why do people with autism talk so loudly and weirdly?” “Why do you line up your toy cars and blocks?” “Why don’t you make eye contact when you’re talking?” and “What’s the reason you jump?” (Naoki’s answer: “When I’m jumping, it’s as if my feelings are going upward to the sky.”) With disarming honesty and a generous heart, Naoki shares his unique point of view on not only autism but life itself. His insights—into the mystery of words, the wonders of laughter, and the elusiveness of memory—are so startling, so strange, and so powerful that you will never look at the world the same way again. In his introduction, bestselling novelist David Mitchell writes that Naoki’s words allowed him to feel, for the first time, as if his own autistic child was explaining what was happening in his mind. “It is no exaggeration to say that The Reason I Jump allowed me to round a corner in our relationship.” This translation was a labor of love by David and his wife, KA Yoshida, so they’d be able to share that feeling with friends, the wider autism community, and beyond. Naoki’s book, in its beauty, truthfulness, and simplicity, is a gift to be shared. Praise for The Reason I Jump “This is an intimate book, one that brings readers right into an autistic mind.”—Chicago Tribune (Editor’s Choice) “Amazing times a million.”—Whoopi Goldberg, People “The Reason I Jump is a Rosetta stone. . . . This book takes about ninety minutes to read, and it will stretch your vision of what it is to be human.”—Andrew Solomon, The Times (U.K.) “Extraordinary, moving, and jeweled with epiphanies.”—The Boston Globe “Small but profound . . . [Higashida’s] startling, moving insights offer a rare look inside the autistic mind.”—Parade
Download or read book Information Theory Inference and Learning Algorithms written by David J. C. MacKay and published by Cambridge University Press. This book was released on 2003-09-25 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.
Download or read book Think Again written by Walter Sinnott-Armstrong and published by Oxford University Press. This book was released on 2018 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our personal and political worlds are rife with arguments and disagreements, some of them petty and vitriolic. The inability to compromise and understand the opposition is epidemic today, from countries refusing to negotiate, to politicians pandering to their base. Social media has produced a virulent world where extreme positions dominate. There is much demonization of the other side, very little progress is made, and the end result is further widening of positions. How did this happen, and what might be done to address it? Walter Sinnott-Armstrong says there is such a thing as a "good" argument: Reasonable arguments can create more mutual understanding and respect, and even if neither party is convinced by the other, compromise is still possible. Think Again shows the importance of good arguments and reveals common misunderstandings. Rather than a means to persuade other people or beat them in an intellectual competition, Sinnott-Armstrong sees arguments as an essential tool for constructive interaction with others. After showing how the failure of good arguments has led us to society's current woes, he shows readers what makes a good argument. In clear, lively, and practical prose, and with plentiful examples from politics, popular culture, and everyday life, Sinnott-Armstrong explains what defines an argument, identifies the components of good arguments as well as fallacies to avoid, and demonstrates what good arguments can accomplish. Armed with these tools, readers will be able to spot bad reasoning and bad arguments, and to advance their own views in a forceful yet logical way. These skills could even help repair our tattered civic culture.
