Download or read book Learning on the Go written by Luis Pérez and published by CAST Skinny Books. This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Education technology expert Luis Perez shows teachers and parents how to use the iPad as a powerful teaching and learning tool, especially for students with disabilities. Full of savvy tips and strategies, Perez's book is especially helpful for developing Individualized Education Programs (IEPs).

Download or read book Learning Go written by Jon Bodner and published by "O'Reilly Media, Inc.". This book was released on 2021-03-02 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Go is rapidly becoming the preferred language for building web services. While there are plenty of tutorials available that teach Go's syntax to developers with experience in other programming languages, tutorials aren't enough. They don't teach Go's idioms, so developers end up recreating patterns that don't make sense in a Go context. This practical guide provides the essential background you need to write clear and idiomatic Go. No matter your level of experience, you'll learn how to think like a Go developer. Author Jon Bodner introduces the design patterns experienced Go developers have adopted and explores the rationale for using them. You'll also get a preview of Go's upcoming generics support and how it fits into the language. Learn how to write idiomatic code in Go and design a Go project Understand the reasons for the design decisions in Go Set up a Go development environment for a solo developer or team Learn how and when to use reflection, unsafe, and cgo Discover how Go's features allow the language to run efficiently Know which Go features you should use sparingly or not at all

Download or read book Learning by Going Transformative Learning through Long term Independent Travel written by Birgit Phillips and published by Springer. This book was released on 2019-03-12 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Birgit Phillips explores the concept of transformative travel as it pertains to long-term independent travelers and offers a broad philosophical understanding of the complex socio-cultural processes involved in identity negotiation. She examines both the elements that contribute to the transformation of values and identities and the mechanisms by which this transformation occurs. By deploying a pluralistic, reflexive, interpretive research approach, Phillips foregrounds the personal experiences of the individual study participants and the meanings they attach to their travel experiences. In addition, since the study spanned over 14 years, the author is able to provide a wide-ranging picture of the complete travel experience, from initial motivations to post-travel reintegration as well as the long-term effects on traveler values and identities.

Download or read book Going Gradeless Grades 6 12 written by Elise Burns and published by Corwin Press. This book was released on 2021-02-23 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Grade reform and standards-based grading (SBG) is a hotly debated issue in education. As one high school administrator puts it, "Traditional letter grading is probably the biggest elephant in the room in regard to school reform. We start [grading] at a young age, and it becomes all about accumulating points, and it's not about the learning anymore." (Dan Kelley, principal of Smithfield High School, Rhode Island). When students can focus less on the score and more on the learning, great things happen. SBG is even more challenging in high school. In this book, the authors share their districts' successes moving to alternate assessment methods that promote learning rather than solely achievement. The proponents of grade reform highlight the arbitrary nature of grades, the undue stress experienced by some learners, and the potential interference in the process of learning. On the other hand, opponents reference the lack of accountability and a shift away from content knowledge that is perceived in many alternate assessment models. This book outlines how to remove the negative impacts of grades while still maintaining a high level of accountability. While the majority of other books in this space provide a rationale for why the shift is necessary, these authors provide the classroom teacher's perspective and concrete examples of how these approaches can be developed and applied. They provide sample assessments, student work samples, an accountability checklist, a sample of their rubrics, and a review of our collected data"--

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 256 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.

Download or read book Encyclopedia of the Sciences of Learning written by Norbert M. Seel and published by Springer Science & Business Media. This book was released on 2011-10-05 with total page 3643 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Going Online written by Robert Ubell and published by Taylor & Francis. This book was released on 2016-12-08 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Going Online, one of our most respected online learning leaders offers insights into virtual education—what it is, how it works, where it came from, and where it may be headed. Robert Ubell reaches back to the days when distance learning was practiced by mail in correspondence schools and then leads us on a tour behind the screen, touching on a wide array of topics along the way, including what it takes to teach online and the virtual student experience. You’ll learn about: how to build a sustainable online program; how to create an active learning online course; why so many faculty resist teaching online; how virtual teamwork enhances digital instruction; how to manage online course ownership; how learning analytics improves online instruction. Ubell says that it is not technology alone, but rather unconventional pedagogies, supported by technological innovations, that truly activate today's classrooms. He argues that innovations introduced online—principally peer-to-peer and collaborative learning—offer significantly increased creative learning options across all age groups and educational sectors. This impressive collection, drawn from Ubell's decades of experience as a digital education pioneer, presents a powerful case for embracing online learning for its transformational potential.

Download or read book Don t Go Back to School written by Kio Stark and published by . This book was released on 2013 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: A handbook for independent learners based on 100 ethnographic interviews, with guidance, how-to, and interviewee stories.

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 288 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.

Download or read book How to Personalize Learning written by Barbara Bray and published by Corwin Press. This book was released on 2016-09-29 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: HOW to Personalize Learning This practical follow-up to Bray and McClaskey’s first book, Make Learning Personal: The What, Who, Wow, Where, and Whybrings theory to practice. Teachers will find the tools, skills, and strategies needed to personalize learning and develop self-directed, independent learners with agency. Discover how to get started and go deeper by building a shared vision that supports personalized learning using the Universal Design for Learning (UDL) framework. Also included are: Tools and templates such as the Learner Profile, Personal Learning Backpack, Personal Learning Plan, as well as tips for lesson design and PBL Lesson and project examples that show how teachers can change instructional practice by encouraging learner voice and choice QR codes and links to the authors’ website for electronic versions of tools, templates, activities, and checklists Create a powerful shift in education by building a culture of learning so every learner is valued. "If you are looking for a step-by-step guide on what personalized learning is and how to implement it, while being inspired and gaining ideas to implement immediately, this is definitely the book to read!" Diana Petschauer, Assistive Technology Professional, CEO AT for Education & Access4Employment, Wolfeboro Falls, NH "Barbara and Kathleen present well-tested strategies for personalization within a coherent framework. This highly practical book forms a reliable foundation for empowering a community striving to make schools work for all learners." John H. Clarke, Professor Emeritus, University of Vermont

Download or read book Going Google written by Jared J. Covili and published by Corwin Press. This book was released on 2016-09-08 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unique ideas for authentic, 21st-century learning! There’s no denying it, 21st Century skills are essential to prepare students for college and careers. How do you manage the avalanche of information and activities required to help students become skilled communicators and collaborators? Prepare your students for the modern workplace with this newly updated guide to Google’s latest tech tools. New chapters and a companion website include teacher vignettes, screen casts, step-by-step project tutorials, and classroom management and technology tips. Beginning and veteran K–12 teachers can quickly scan to any section for detailed guidance and practical implementation strategies. You’ll learn: Which tools help you meet 21st century skills and the new ISTE Standards for Students The latest versions of Google Classroom, Google Drive, Google Chrome, Google Earth, YouTube, and more 5 major points to consider before using each tool How to create quizzes, parent contract forms, student writing groups, and more How to use technology-related activities to facilitate creativity, promote innovation, and enhance communication skills Includes a handy glossary of tech terms. Use this engaging, skills-boosting guide to discover exactly how and why to use Google’s latest tools as part of an effective teaching strategy! "Google′s presence in our nation′s schools is a big one and is only going to increase. Jared Covili has put together an excellent guide—useful for those who are tech savvy and those who are not—for how teachers and students can use these tools for teaching and learning." Larry Ferlazzo, Advice Columnist Education Week Teacher "Jared Covili does an excellent job diving into the intricacies of Google so everyone can get the most out of the suite of apps. If you are not ′Going Google,′ you might as well just ′Ask Jeeves′ for support. " Nick Provenzano, Author of Classroom in the Cloud The Nerdy Teacher

Download or read book Letting Go written by Meg Donhauser and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores an inquiry approach in which students differentiate their own learning with the space to choose texts, develop questions, and practice skills that are unique to their needs. This practical approach provides a clear, customizable experience for teachers looking to shift ownership of learning to the student, whether wholly or in part.

Download or read book Learning Go Programming written by Vladimir Vivien and published by Packt Publishing Ltd. This book was released on 2016-10-26 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: An insightful guide to learning the Go programming language About This Book Insightful coverage of Go programming syntax, constructs, and idioms to help you understand Go code effectively Push your Go skills, with topics such as, data types, channels, concurrency, object-oriented Go, testing, and network programming Each chapter provides working code samples that are designed to help reader quickly understand respective topic Who This Book Is For If you have prior exposure to programming and are interested in learning the Go programming language, this book is designed for you. It will quickly run you through the basics of programming to let you exploit a number of features offered by Go programming language. What You Will Learn Install and configure the Go development environment to quickly get started with your first program. Use the basic elements of the language including source code structure, variables, constants, and control flow primitives to quickly get started with Go Gain practical insight into the use of Go's type system including basic and composite types such as maps, slices, and structs. Use interface types and techniques such as embedding to create idiomatic object-oriented programs in Go. Develop effective functions that are encapsulated in well-organized package structures with support for error handling and panic recovery. Implement goroutine, channels, and other concurrency primitives to write highly-concurrent and safe Go code Write tested and benchmarked code using Go's built test tools Access OS resources by calling C libraries and interact with program environment at runtime In Detail The Go programming language has firmly established itself as a favorite for building complex and scalable system applications. Go offers a direct and practical approach to programming that let programmers write correct and predictable code using concurrency idioms and a full-featured standard library. This is a step-by-step, practical guide full of real world examples to help you get started with Go in no time at all. We start off by understanding the fundamentals of Go, followed by a detailed description of the Go data types, program structures and Maps. After this, you learn how to use Go concurrency idioms to avoid pitfalls and create programs that are exact in expected behavior. Next, you will be familiarized with the tools and libraries that are available in Go for writing and exercising tests, benchmarking, and code coverage. Finally, you will be able to utilize some of the most important features of GO such as, Network Programming and OS integration to build efficient applications. All the concepts are explained in a crisp and concise manner and by the end of this book; you would be able to create highly efficient programs that you can deploy over cloud. Style and approach The book is written to serve as a reader-friendly step-by-step guide to learning the Go programming language. Each topic is sequentially introduced to build on previous materials covered. Every concept is introduced with easy-to-follow code examples that focus on maximizing the understanding of the topic at hand.

Download or read book Experiential Learning written by David A. Kolb and published by Pearson Education. This book was released on 2015 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experiential learning is a powerful and proven approach to teaching and learning that is based on one incontrovertible reality: people learn best through experience. Now, in this extensively updated book, David A. Kolb offers a systematic and up-to-date statement of the theory of experiential learning and its modern applications to education, work, and adult development. Experiential Learning, Second Edition builds on the intellectual origins of experiential learning as defined by figures such as John Dewey, Kurt Lewin, Jean Piaget, and L.S. Vygotsky, while also reflecting three full decades of research and practice since the classic first edition. Kolb models the underlying structures of the learning process based on the latest insights in psychology, philosophy, and physiology. Building on his comprehensive structural model, he offers an exceptionally useful typology of individual learning styles and corresponding structures of knowledge in different academic disciplines and careers. Kolb also applies experiential learning to higher education and lifelong learning, especially with regard to adult education. This edition reviews recent applications and uses of experiential learning, updates Kolb's framework to address the current organizational and educational landscape, and features current examples of experiential learning both in the field and in the classroom. It will be an indispensable resource for everyone who wants to promote more effective learning: in higher education, training, organizational development, lifelong learning environments, and online.

Download or read book Deep Learning and the Game of Go written by Kevin Ferguson and published by Simon and Schuster. This book was released on 2019-01-06 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! About the Book Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios! What's inside Build and teach a self-improving game AI Enhance classical game AI systems with deep learning Implement neural networks for deep learning About the Reader All you need are basic Python skills and high school-level math. No deep learning experience required. About the Author Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. Table of Contents PART 1 - FOUNDATIONS Toward deep learning: a machine-learning introduction Go as a machine-learning problem Implementing your first Go bot PART 2 - MACHINE LEARNING AND GAME AI Playing games with tree search Getting started with neural networks Designing a neural network for Go data Learning from data: a deep-learning bot Deploying bots in the wild Learning by practice: reinforcement learning Reinforcement learning with policy gradients Reinforcement learning with value methods Reinforcement learning with actor-critic methods PART 3 - GREATER THAN THE SUM OF ITS PARTS AlphaGo: Bringing it all together AlphaGo Zero: Integrating tree search with reinforcement learning

Download or read book Machine Learning with Go Quick Start Guide written by Michael Bironneau and published by Packt Publishing Ltd. This book was released on 2019-05-31 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: This quick start guide will bring the readers to a basic level of understanding when it comes to the Machine Learning (ML) development lifecycle, will introduce Go ML libraries and then will exemplify common ML methods such as Classification, Regression, and Clustering Key FeaturesYour handy guide to building machine learning workflows in Go for real-world scenariosBuild predictive models using the popular supervised and unsupervised machine learning techniquesLearn all about deployment strategies and take your ML application from prototype to production readyBook Description Machine learning is an essential part of today's data-driven world and is extensively used across industries, including financial forecasting, robotics, and web technology. This book will teach you how to efficiently develop machine learning applications in Go. The book starts with an introduction to machine learning and its development process, explaining the types of problems that it aims to solve and the solutions it offers. It then covers setting up a frictionless Go development environment, including running Go interactively with Jupyter notebooks. Finally, common data processing techniques are introduced. The book then teaches the reader about supervised and unsupervised learning techniques through worked examples that include the implementation of evaluation metrics. These worked examples make use of the prominent open-source libraries GoML and Gonum. The book also teaches readers how to load a pre-trained model and use it to make predictions. It then moves on to the operational side of running machine learning applications: deployment, Continuous Integration, and helpful advice for effective logging and monitoring. At the end of the book, readers will learn how to set up a machine learning project for success, formulating realistic success criteria and accurately translating business requirements into technical ones. What you will learnUnderstand the types of problem that machine learning solves, and the various approachesImport, pre-process, and explore data with Go to make it ready for machine learning algorithmsVisualize data with gonum/plot and GophernotesDiagnose common machine learning problems, such as overfitting and underfittingImplement supervised and unsupervised learning algorithms using Go librariesBuild a simple web service around a model and use it to make predictionsWho this book is for This book is for developers and data scientists with at least beginner-level knowledge of Go, and a vague idea of what types of problem Machine Learning aims to tackle. No advanced knowledge of Go (and no theoretical understanding of the math that underpins Machine Learning) is required.

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