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Learning How to Learn

Author : Barbara Oakley, PhD
Publisher : Penguin
ISBN 13 : 052550446X
Total Pages : 258 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis Learning How to Learn by : Barbara Oakley, PhD

Download or read book Learning How to Learn written by Barbara Oakley, PhD and published by Penguin. This book was released on 2018-08-07 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid "rut think" in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.

Deep Learning

Author : Ian Goodfellow
Publisher : MIT Press
ISBN 13 : 0262337371
Total Pages : 801 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Deep Learning by : Ian Goodfellow

Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Leaving to Learn: How Out-of-School Learning Increases Student Engagement and Reduces Dropout Rates

Author : Elliot Washor, Charles Mojkowski
Publisher : Urban Fox Studios
ISBN 13 : 0325050724
Total Pages : 192 pages
Book Rating : 4.3/5 (25 download)

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Book Synopsis Leaving to Learn: How Out-of-School Learning Increases Student Engagement and Reduces Dropout Rates by : Elliot Washor, Charles Mojkowski

Download or read book Leaving to Learn: How Out-of-School Learning Increases Student Engagement and Reduces Dropout Rates written by Elliot Washor, Charles Mojkowski and published by Urban Fox Studios. This book was released on 2013-10-11 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this provocative book, authors Washor and Mojkowski observe that beneath the worrisome levels of dropouts from our nation’s high school lurks a more insidious problem: student disengagement from school and from deep and productive learning. To keep students in school and engaged as productive learners through to graduation, schools must provide experiences in which all students do some of their learning outside school as a formal part of their programs of study. All students need to leave school—frequently, regularly, and, of course, temporarily—to stay in school and persist in their learning. To accomplish this, schools must combine academic learning with experiential learning, allowing students to bring real-world learning back into the school, where it should be recognized, assessed, and awarded academic credit. Learning outside of school, as a complement to in-school learning, provides opportunities for deep engagement in rigorous learning.

Writing to Learn

Author : William Zinsser
Publisher : Harper Collins
ISBN 13 : 0062244698
Total Pages : 331 pages
Book Rating : 4.0/5 (622 download)

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Book Synopsis Writing to Learn by : William Zinsser

Download or read book Writing to Learn written by William Zinsser and published by Harper Collins. This book was released on 2013-04-30 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an essential book for everyone who wants to write clearly about any subject and use writing as a means of learning.

Teach Students How to Learn

Author : Saundra Yancy McGuire
Publisher : Taylor & Francis
ISBN 13 : 100097815X
Total Pages : 182 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Teach Students How to Learn by : Saundra Yancy McGuire

Download or read book Teach Students How to Learn written by Saundra Yancy McGuire and published by Taylor & Francis. This book was released on 2023-07-03 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Co-published with and Miriam, a freshman Calculus student at Louisiana State University, made 37.5% on her first exam but 83% and 93% on the next two. Matt, a first year General Chemistry student at the University of Utah, scored 65% and 55% on his first two exams and 95% on his third—These are representative of thousands of students who decisively improved their grades by acting on the advice described in this book.What is preventing your students from performing according to expectations? Saundra McGuire offers a simple but profound answer: If you teach students how to learn and give them simple, straightforward strategies to use, they can significantly increase their learning and performance. For over a decade Saundra McGuire has been acclaimed for her presentations and workshops on metacognition and student learning because the tools and strategies she shares have enabled faculty to facilitate dramatic improvements in student learning and success. This book encapsulates the model and ideas she has developed in the past fifteen years, ideas that are being adopted by an increasing number of faculty with considerable effect.The methods she proposes do not require restructuring courses or an inordinate amount of time to teach. They can often be accomplished in a single session, transforming students from memorizers and regurgitators to students who begin to think critically and take responsibility for their own learning. Saundra McGuire takes the reader sequentially through the ideas and strategies that students need to understand and implement. First, she demonstrates how introducing students to metacognition and Bloom’s Taxonomy reveals to them the importance of understanding how they learn and provides the lens through which they can view learning activities and measure their intellectual growth. Next, she presents a specific study system that can quickly empower students to maximize their learning. Then, she addresses the importance of dealing with emotion, attitudes, and motivation by suggesting ways to change students’ mindsets about ability and by providing a range of strategies to boost motivation and learning; finally, she offers guidance to faculty on partnering with campus learning centers.She pays particular attention to academically unprepared students, noting that the strategies she offers for this particular population are equally beneficial for all students. While stressing that there are many ways to teach effectively, and that readers can be flexible in picking and choosing among the strategies she presents, Saundra McGuire offers the reader a step-by-step process for delivering the key messages of the book to students in as little as 50 minutes. Free online supplements provide three slide sets and a sample video lecture.This book is written primarily for faculty but will be equally useful for TAs, tutors, and learning center professionals. For readers with no background in education or cognitive psychology, the book avoids jargon and esoteric theory.

The First 20 Hours

Author : Josh Kaufman
Publisher : Penguin
ISBN 13 : 1101623047
Total Pages : 290 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis The First 20 Hours by : Josh Kaufman

Download or read book The First 20 Hours written by Josh Kaufman and published by Penguin. This book was released on 2013-06-13 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forget the 10,000 hour rule— what if it’s possible to learn the basics of any new skill in 20 hours or less? Take a moment to consider how many things you want to learn to do. What’s on your list? What’s holding you back from getting started? Are you worried about the time and effort it takes to acquire new skills—time you don’t have and effort you can’t spare? Research suggests it takes 10,000 hours to develop a new skill. In this nonstop world when will you ever find that much time and energy? To make matters worse, the early hours of practicing something new are always the most frustrating. That’s why it’s difficult to learn how to speak a new language, play an instrument, hit a golf ball, or shoot great photos. It’s so much easier to watch TV or surf the web . . . In The First 20 Hours, Josh Kaufman offers a systematic approach to rapid skill acquisition— how to learn any new skill as quickly as possible. His method shows you how to deconstruct complex skills, maximize productive practice, and remove common learning barriers. By completing just 20 hours of focused, deliberate practice you’ll go from knowing absolutely nothing to performing noticeably well. Kaufman personally field-tested the methods in this book. You’ll have a front row seat as he develops a personal yoga practice, writes his own web-based computer programs, teaches himself to touch type on a nonstandard keyboard, explores the oldest and most complex board game in history, picks up the ukulele, and learns how to windsurf. Here are a few of the simple techniques he teaches: Define your target performance level: Figure out what your desired level of skill looks like, what you’re trying to achieve, and what you’ll be able to do when you’re done. The more specific, the better. Deconstruct the skill: Most of the things we think of as skills are actually bundles of smaller subskills. If you break down the subcomponents, it’s easier to figure out which ones are most important and practice those first. Eliminate barriers to practice: Removing common distractions and unnecessary effort makes it much easier to sit down and focus on deliberate practice. Create fast feedback loops: Getting accurate, real-time information about how well you’re performing during practice makes it much easier to improve. Whether you want to paint a portrait, launch a start-up, fly an airplane, or juggle flaming chainsaws, The First 20 Hours will help you pick up the basics of any skill in record time . . . and have more fun along the way.

How People Learn

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309131979
Total Pages : 386 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis How People Learn by : National Research Council

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.

Managing to Learn

Author : John Shook
Publisher : Lean Enterprise Institute
ISBN 13 : 1934109207
Total Pages : 154 pages
Book Rating : 4.9/5 (341 download)

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Book Synopsis Managing to Learn by : John Shook

Download or read book Managing to Learn written by John Shook and published by Lean Enterprise Institute. This book was released on 2008 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The process by which a company identifies, frames, acts and reviews progress on problems, projects and proposals can be found in the structure of the A3 process ... follow the story of a manager ... and his report ... which will reveal how the A3 can be used as a management process to create a standard method for innovating, planning, problem-solving, and building structures for a broader and deeper form of thinking - a practical and repeatable approach to organizational learning"--Publisher's description.

How Children Learn

Author : John Holt
Publisher : Hachette UK
ISBN 13 : 0786746904
Total Pages : 208 pages
Book Rating : 4.7/5 (867 download)

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Book Synopsis How Children Learn by : John Holt

Download or read book How Children Learn written by John Holt and published by Hachette UK. This book was released on 2009-04-20 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the preface by Deborah Meier: "We have a long way to go to make John Holt's dream available to all children. But his books make it possible and easier for many of us to join him in the journey." In this enduring classic, rich with deep, original insight into the nature of early learning, John Holt was the first to make clear that, for small children, "learning is as natural as breathing." In his delightful book he observes how children actually learn to talk, to read, to count, and to reason, and how, as adults, we can best encourage these natural abilities in our children.

The Loom of Language

Author : Frederick Bodmer
Publisher : W. W. Norton & Company
ISBN 13 : 9780393300345
Total Pages : 724 pages
Book Rating : 4.3/5 (3 download)

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Book Synopsis The Loom of Language by : Frederick Bodmer

Download or read book The Loom of Language written by Frederick Bodmer and published by W. W. Norton & Company. This book was released on 1985 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is an informative introduction to language: its origins in the past, its growth through history, and its present use for communication between peoples. It is at the same time a history of language, a guide to foreign tongues, and a method for learning them. It shows, through basic vocabularies, family resemblances of languages -- Teutonic, Romance, Greek -- helpful tricks of translation, key combinations of roots and phonetic patterns. It presents by common-sense methods the most helpful approach to the mastery of many languages; it condenses vocabulary to a minimum of essential words; it simplifies grammar in an entirely new way; and it teaches a language as it is actually used in everyday life.

Understanding How We Learn

Author : Yana Weinstein
Publisher : Routledge
ISBN 13 : 1351358049
Total Pages : 238 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Understanding How We Learn by : Yana Weinstein

Download or read book Understanding How We Learn written by Yana Weinstein and published by Routledge. This book was released on 2018-08-22 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Educational practice does not, for the most part, rely on research findings. Instead, there’s a preference for relying on our intuitions about what’s best for learning. But relying on intuition may be a bad idea for teachers and learners alike. This accessible guide helps teachers to integrate effective, research-backed strategies for learning into their classroom practice. The book explores exactly what constitutes good evidence for effective learning and teaching strategies, how to make evidence-based judgments instead of relying on intuition, and how to apply findings from cognitive psychology directly to the classroom. Including real-life examples and case studies, FAQs, and a wealth of engaging illustrations to explain complex concepts and emphasize key points, the book is divided into four parts: Evidence-based education and the science of learning Basics of human cognitive processes Strategies for effective learning Tips for students, teachers, and parents. Written by "The Learning Scientists" and fully illustrated by Oliver Caviglioli, Understanding How We Learn is a rejuvenating and fresh examination of cognitive psychology's application to education. This is an essential read for all teachers and educational practitioners, designed to convey the concepts of research to the reality of a teacher's classroom.

An Introduction to Statistical Learning

Author : Gareth James
Publisher : Springer Nature
ISBN 13 : 3031387473
Total Pages : 617 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis An Introduction to Statistical Learning by : Gareth James

Download or read book An Introduction to Statistical Learning written by Gareth James and published by Springer Nature. This book was released on 2023-08-01 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

The Way They Learn

Author : Cynthia Ulrich Tobias
Publisher : Focus on the Family Publishing
ISBN 13 : 1561794147
Total Pages : 177 pages
Book Rating : 4.5/5 (617 download)

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Book Synopsis The Way They Learn by : Cynthia Ulrich Tobias

Download or read book The Way They Learn written by Cynthia Ulrich Tobias and published by Focus on the Family Publishing. This book was released on 1994 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: For Ingest Only - Data needs to be cleaned up for all products being loaded

The Book of Learning and Forgetting

Author : Frank Smith
Publisher : Teachers College Press
ISBN 13 : 9780807737507
Total Pages : 0 pages
Book Rating : 4.7/5 (375 download)

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Book Synopsis The Book of Learning and Forgetting by : Frank Smith

Download or read book The Book of Learning and Forgetting written by Frank Smith and published by Teachers College Press. This book was released on 1998-04-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thought-provoking book, Frank Smith explains how schools and educational authorities systematically obstruct the powerful inherent learning abilities of children, creating handicaps that often persist through life. The author eloquently contrasts a false and fabricated “official theory” that learning is work (used to justify the external control of teachers and students through excessive regulation and massive testing) with a correct but officially suppressed “classic view” that learning is a social process that can occur naturally and continually through collaborative activities. This book will be crucial reading in a time when national authorities continue to blame teachers and students for alleged failures in education. It will help educators and parents to combat sterile attitudes toward teaching and learning and prevent current practices from doing further harm.

Machine Learning with PyTorch and Scikit-Learn

Author : Sebastian Raschka
Publisher : Packt Publishing Ltd
ISBN 13 : 1801816387
Total Pages : 775 pages
Book Rating : 4.8/5 (18 download)

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Book Synopsis Machine Learning with PyTorch and Scikit-Learn by : Sebastian Raschka

Download or read book Machine Learning with PyTorch and Scikit-Learn written by Sebastian Raschka and published by Packt Publishing Ltd. This book was released on 2022-02-25 with total page 775 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.

Teach Yourself How to Learn

Author : Saundra Yancy McGuire
Publisher : Taylor & Francis
ISBN 13 : 1000981053
Total Pages : 133 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Teach Yourself How to Learn by : Saundra Yancy McGuire

Download or read book Teach Yourself How to Learn written by Saundra Yancy McGuire and published by Taylor & Francis. This book was released on 2023-07-03 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following up on her acclaimed Teach Students How to Learn, that describes teaching strategies to facilitate dramatic improvements in student learning and success, Saundra McGuire here presents these "secrets" direct to students. Her message is that "Any student can use simple, straightforward strategies to start making A’s in their courses and enjoy a lifetime of deep, effective learning." Beginning with explaining how expectations about learning, and the study efforts required, differ between college and secondary school, the author introduces her readers, through the concept of metacognition, to the importance and powerful consequences of understanding themselves as learners. This framework and the recommended strategies that support it are useful for anyone moving on to a more advanced stage of education, so this book also has an intended audience of students preparing to go to high school, graduate school, or professional school. In a conversational tone, and liberally illustrated by anecdotes of past students, the author combines introducing readers to concepts like Bloom’s Taxonomy (to illuminate the difference between studying and learning), fixed and growth mindsets, as well as to what brain science has to tell us about rest, nutrition and exercise, together with such highly specific learning strategies as how to read a textbook, manage their time and take tests. With engaging exercises and thought-provoking reflections, this book is an ideal motivational and practical text for study skills and first year experience courses.

The ABCs of How We Learn: 26 Scientifically Proven Approaches, How They Work, and When to Use Them

Author : Daniel L. Schwartz
Publisher : W. W. Norton & Company
ISBN 13 : 039370940X
Total Pages : 468 pages
Book Rating : 4.3/5 (937 download)

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Book Synopsis The ABCs of How We Learn: 26 Scientifically Proven Approaches, How They Work, and When to Use Them by : Daniel L. Schwartz

Download or read book The ABCs of How We Learn: 26 Scientifically Proven Approaches, How They Work, and When to Use Them written by Daniel L. Schwartz and published by W. W. Norton & Company. This book was released on 2016-07-26 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Selected as one of NPR's Best Books of 2016, this book offers superior learning tools for teachers and students, from A to Z. An explosive growth in research on how people learn has revealed many ways to improve teaching and catalyze learning at all ages. The purpose of this book is to present this new science of learning so that educators can creatively translate the science into exceptional practice. The book is highly appropriate for the preparation and professional development of teachers and college faculty, but also parents, trainers, instructional designers, psychology students, and simply curious folks interested in improving their own learning. Based on a popular Stanford University course, The ABCs of How We Learn uses a novel format that is suitable as both a textbook and a popular read. With everyday language, engaging examples, a sense of humor, and solid evidence, it describes 26 unique ways that students learn. Each chapter offers a concise and approachable breakdown of one way people learn, how it works, how we know it works, how and when to use it, and what mistakes to avoid. The book presents learning research in a way that educators can creatively translate into exceptional lessons and classroom practice. The book covers field-defining learning theories ranging from behaviorism (R is for Reward) to cognitive psychology (S is for Self-Explanation) to social psychology (O is for Observation). The chapters also introduce lesser-known theories exceptionally relevant to practice, such as arousal theory (X is for eXcitement). Together the theories, evidence, and strategies from each chapter can be combined endlessly to create original and effective learning plans and the means to know if they succeed.