V Learning

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V-Learning

Author : Leonard A. Annetta
Publisher : Springer Science & Business Media
ISBN 13 : 904813627X
Total Pages : 192 pages
Book Rating : 4.0/5 (481 download)

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Book Synopsis V-Learning by : Leonard A. Annetta

Download or read book V-Learning written by Leonard A. Annetta and published by Springer Science & Business Media. This book was released on 2010-03-10 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Equally grounded in the research and the practical applications developed by the authors over a number of years, this book shows how virtual learning environments could represent the future of higher education. As academics begin to use environments such as Second Life to reach a broader student audience, this volume offers the distance-learning community (administrators, faculty, and students) a different, yet successful, approach to delivering content over the Internet through 3D virtual learning environments that have the potential to transform higher education. Covering a broad spectrum of frameworks, from commercial multiplayer video games to online learning, the book shows just how powerful these environments can be in the arena of education, and concludes that data-driven practice will ensure almost universal take-up, even among those currently unwilling to use V-learning. The authors provide numerous practical examples of distance learning in its current state of development, as well as making informed predictions about how future environments might evolve. This much-needed book is right at the cutting edge of its subject, and comes at a time when research in both educational gaming and distance learning are converging.

Learning How to Learn

Author : Barbara Oakley, PhD
Publisher : Penguin
ISBN 13 : 052550446X
Total Pages : 256 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 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.

Another Sort of Learning

Author : James V. Schall
Publisher : Ignatius Press
ISBN 13 : 1681490412
Total Pages : 314 pages
Book Rating : 4.6/5 (814 download)

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Book Synopsis Another Sort of Learning by : James V. Schall

Download or read book Another Sort of Learning written by James V. Schall and published by Ignatius Press. This book was released on 2011-05-12 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Noting the widespread concern about the quality of education in our schools, Schall examines what is taught and read (and not read) in these schools. He questions the fundamental premises in our culture which do not allow truth to be considered. Schall lists various important books to read, and why.

The First 20 Hours

Author : Josh Kaufman
Publisher : Penguin
ISBN 13 : 1101623047
Total Pages : 288 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 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.

Visible Learning: Feedback

Author : John Hattie
Publisher : Routledge
ISBN 13 : 0429938861
Total Pages : 239 pages
Book Rating : 4.4/5 (299 download)

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Book Synopsis Visible Learning: Feedback by : John Hattie

Download or read book Visible Learning: Feedback written by John Hattie and published by Routledge. This book was released on 2018-08-15 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feedback is arguably the most critical and powerful aspect of teaching and learning. Yet, there remains a paradox: why is feedback so powerful and why is it so variable? It is this paradox which Visible Learning: Feedback aims to unravel and resolve. Combining research excellence, theory and vast teaching expertise, this book covers the principles and practicalities of feedback, including: the variability of feedback, the importance of surface, deep and transfer contexts, student to teacher feedback, peer to peer feedback, the power of within lesson feedback and manageable post-lesson feedback. With numerous case-studies, examples and engaging anecdotes woven throughout, the authors also shed light on what creates an effective feedback culture and provide the teaching and learning structures which give the best possible framework for feedback. Visible Learning: Feedback brings together two internationally known educators and merges Hattie’s world-famous research expertise with Clarke’s vast experience of classroom practice and application, making this book an essential resource for teachers in any setting, phase or country.

How to Learn Almost Anything in 48 Hours

Author : Tansel Ali
Publisher : Simon and Schuster
ISBN 13 : 1440597766
Total Pages : 208 pages
Book Rating : 4.4/5 (45 download)

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Book Synopsis How to Learn Almost Anything in 48 Hours by : Tansel Ali

Download or read book How to Learn Almost Anything in 48 Hours written by Tansel Ali and published by Simon and Schuster. This book was released on 2016-08 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shortcuts and brain hacks for learning new skills fast! Three-time Australian Memory Champion Tansel Ali reveals the secret to learning new skills fast--easy-to-learn memory strategies, including mind mapping, visualization techniques, and mnemonic devices. If you'd like to study for exams efficiently, speak a foreign language, memorize a speech, learn to play a new musical instrument, or improve your general knowledge, memory-training expert Tansel shows you how to do it quickly and effectively with the aid of a few memory tricks. Packed with practical exercises for honing memory and training your brain to learn well and learn fast, this is the ultimate book for sharpening your mind and expand your knowledge.

Who Owns the Learning?

Author : Alan November
Publisher : Solution Tree Press
ISBN 13 : 1935542591
Total Pages : 187 pages
Book Rating : 4.9/5 (355 download)

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Book Synopsis Who Owns the Learning? by : Alan November

Download or read book Who Owns the Learning? written by Alan November and published by Solution Tree Press. This book was released on 2012-05-25 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to harness students’ natural curiosity to develop self-directed learners. Discover how technology allows students to take ownership of their learning, create and share learning tools, and participate in work that is meaningful to them and others. Real-life examples illustrate how every student can become a teacher and a global publisher. The embedded QR codes link to supporting websites.

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.

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.

Blended Learning with Google

Author : Kasey Bell
Publisher :
ISBN 13 : 9781735601823
Total Pages : 168 pages
Book Rating : 4.6/5 (18 download)

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Book Synopsis Blended Learning with Google by : Kasey Bell

Download or read book Blended Learning with Google written by Kasey Bell and published by . This book was released on 2020-12-07 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Say goodbye to boring lectures and tired, one-and-done activities! In Blended Learning with Google, bestselling author and experienced educator Kasey Bell shows you how to use Google tools to design and support dynamic blended learning experiences whether you're teaching in-person, online classes, or both! With so much of life and learning happening online, we have to think differently about lessons and assignments. We can't rely on worksheets or one-and-done activities. They don't cut it anymore! To better serve our students, we must go beyond traditional methods-and beyond the walls of our classrooms. We need Dynamic Learning, and Google's powerful and easy-to-use suite of tools can help! Kasey Bell is your personal Google guide, but don't let the southern charm fool you. She packs this book with practical ideas and meaningful strategies that you can implement right away. Here is a peek at what you'll find in Blended Learning with Google A practical framework for meaningful Blended Learning Digital learning strategies for every classroom Google templates, lesson plans, pro tips, remote learning tips, and more! This book is not about Google; it's about how to use Google tools to support Dynamic Learning for your students every day! Shake Up Learning with Google tools to design Dynamic Blended Learning experiences in your classroom!

Approaching (Almost) Any Machine Learning Problem

Author : Abhishek Thakur
Publisher : Abhishek Thakur
ISBN 13 : 8269211508
Total Pages : 300 pages
Book Rating : 4.2/5 (692 download)

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Book Synopsis Approaching (Almost) Any Machine Learning Problem by : Abhishek Thakur

Download or read book Approaching (Almost) Any Machine Learning Problem written by Abhishek Thakur and published by Abhishek Thakur. This book was released on 2020-07-04 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is not a traditional book. The book has a lot of code. If you don't like the code first approach do not buy this book. Making code available on Github is not an option. This book is for people who have some theoretical knowledge of machine learning and deep learning and want to dive into applied machine learning. The book doesn't explain the algorithms but is more oriented towards how and what should you use to solve machine learning and deep learning problems. The book is not for you if you are looking for pure basics. The book is for you if you are looking for guidance on approaching machine learning problems. The book is best enjoyed with a cup of coffee and a laptop/workstation where you can code along. Table of contents: - Setting up your working environment - Supervised vs unsupervised learning - Cross-validation - Evaluation metrics - Arranging machine learning projects - Approaching categorical variables - Feature engineering - Feature selection - Hyperparameter optimization - Approaching image classification & segmentation - Approaching text classification/regression - Approaching ensembling and stacking - Approaching reproducible code & model serving There are no sub-headings. Important terms are written in bold. I will be answering all your queries related to the book and will be making YouTube tutorials to cover what has not been discussed in the book. To ask questions/doubts, visit this link: https://bit.ly/aamlquestions And Subscribe to my youtube channel: https://bit.ly/abhitubesub

Bringing the Neuroscience of Learning to Online Teaching

Author : Tracey Tokuhama-Espinosa
Publisher : Teachers College Press
ISBN 13 : 0807779652
Total Pages : 129 pages
Book Rating : 4.8/5 (77 download)

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Book Synopsis Bringing the Neuroscience of Learning to Online Teaching by : Tracey Tokuhama-Espinosa

Download or read book Bringing the Neuroscience of Learning to Online Teaching written by Tracey Tokuhama-Espinosa and published by Teachers College Press. This book was released on 2021 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical resource draws on the best of neuroscience to inform decision-making about digital learning. We live in unprecedented times that have pushed schools to make many decisions that have been postponed for years. For the first time since the inception of public education, teachers have been invited to redesign the learning landscape by integrating an intelligent selection of digital educational resources and changing pedagogical approaches based on information from the learning sciences. This handbook will help teachers make the most of this opportunity by showing them how to use digital tools to differentiate learning, employ alternative options to standardized testing, personalize learning, prioritize social-emotional skills, and inspire students to think more critically. The author identifies some gems in quality teaching that are amplified in online contexts, including 40 evidence-informed pedagogies from the learning sciences. This book will help all educators move online teaching and learning to new levels of confidence and success. Book Features: Provides quick references to key planning tools like decision-trees, graphics, app recommendations, and step-by-step directions to help teachers create their own online learning courses.Guides teachers through a 12-step model for instructional design that meets both national and international standards.Shows educators how to use an all-new Digital Resource Taxonomy to select resources, and how to research and keep them up to date.Explains why good instructional design and educational technology are complementary with best practices in learning sciences like Mind, Brain, and Education Science.Shares ways teachers can leverage technology to create more time for the personalized aspects of learning. Shows educators how to design online courses with tools that let all students begin at their own starting points and how to differentiate homework.Offers evidence-informed pedagogies to make online intimate and authentic for students.

Advances in Financial Machine Learning

Author : Marcos Lopez de Prado
Publisher : John Wiley & Sons
ISBN 13 : 1119482119
Total Pages : 400 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Advances in Financial Machine Learning by : Marcos Lopez de Prado

Download or read book Advances in Financial Machine Learning written by Marcos Lopez de Prado and published by John Wiley & Sons. This book was released on 2018-01-23 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

How We Learn

Author : Stanislas Dehaene
Publisher : Penguin
ISBN 13 : 0525559906
Total Pages : 369 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis How We Learn by : Stanislas Dehaene

Download or read book How We Learn written by Stanislas Dehaene and published by Penguin. This book was released on 2021-02-02 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: “There are words that are so familiar they obscure rather than illuminate the thing they mean, and ‘learning’ is such a word. It seems so ordinary, everyone does it. Actually it’s more of a black box, which Dehaene cracks open to reveal the awesome secrets within.”--The New York Times Book Review An illuminating dive into the latest science on our brain's remarkable learning abilities and the potential of the machines we program to imitate them The human brain is an extraordinary learning machine. Its ability to reprogram itself is unparalleled, and it remains the best source of inspiration for recent developments in artificial intelligence. But how do we learn? What innate biological foundations underlie our ability to acquire new information, and what principles modulate their efficiency? In How We Learn, Stanislas Dehaene finds the boundary of computer science, neurobiology, and cognitive psychology to explain how learning really works and how to make the best use of the brain’s learning algorithms in our schools and universities, as well as in everyday life and at any age.

Culturally Responsive Teaching and The Brain

Author : Zaretta Hammond
Publisher : Corwin Press
ISBN 13 : 1483308022
Total Pages : 311 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis Culturally Responsive Teaching and The Brain by : Zaretta Hammond

Download or read book Culturally Responsive Teaching and The Brain written by Zaretta Hammond and published by Corwin Press. This book was released on 2014-11-13 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: A bold, brain-based teaching approach to culturally responsive instruction To close the achievement gap, diverse classrooms need a proven framework for optimizing student engagement. Culturally responsive instruction has shown promise, but many teachers have struggled with its implementation—until now. In this book, Zaretta Hammond draws on cutting-edge neuroscience research to offer an innovative approach for designing and implementing brain-compatible culturally responsive instruction. The book includes: Information on how one’s culture programs the brain to process data and affects learning relationships Ten “key moves” to build students’ learner operating systems and prepare them to become independent learners Prompts for action and valuable self-reflection

Web-Based Learning

Author : Gayle V. Davidson-Shivers
Publisher : Springer
ISBN 13 : 331967840X
Total Pages : 387 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Web-Based Learning by : Gayle V. Davidson-Shivers

Download or read book Web-Based Learning written by Gayle V. Davidson-Shivers and published by Springer. This book was released on 2017-11-11 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition is a practical, easy-to-read resource on web-based learning. The book ably and clearly equips readers with strategies for designing effective online courses, creating communities of web-based learners, and implementing and evaluating based on an instructional design framework. Case example, case studies, and discussion questions extend readers skills, inspire discussion, and encourage readers to explore the trends and issues related to online instructional design and delivery.

Deep Learning for Coders with fastai and PyTorch

Author : Jeremy Howard
Publisher : O'Reilly Media
ISBN 13 : 1492045497
Total Pages : 624 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Deep Learning for Coders with fastai and PyTorch by : Jeremy Howard

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