-PDF Download- V Learning EBOOK

V-Learning

Author: Leonard A. Annetta

Publisher: Springer Science & Business Media

Published: 2010-03-10

Total Pages: 192

ISBN-13: 904813627X

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

Published: 2018-08-07

Total Pages: 256

ISBN-13: 052550446X

DOWNLOAD EBOOK →

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.

The First 20 Hours

Author: Josh Kaufman

Publisher: Penguin

Published: 2013-06-13

Total Pages: 288

ISBN-13: 1101623047

DOWNLOAD EBOOK →

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

Published: 2018-08-15

Total Pages: 239

ISBN-13: 0429938861

DOWNLOAD EBOOK →

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

Published: 2016-08

Total Pages: 208

ISBN-13: 1440597766

DOWNLOAD EBOOK →

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.

Learning Hyper-V

Author: Vinícius R. Apolinário

Publisher: Packt Publishing Ltd

Published: 2015-05-30

Total Pages: 384

ISBN-13: 1784399612

DOWNLOAD EBOOK →

This book focuses on readers starting their journey with Hyper-V, and assumes they have minimal or no knowledge of virtualization.

Machine Learning Engineering in Action

Author: Ben Wilson

Publisher: Simon and Schuster

Published: 2022-04-26

Total Pages: 574

ISBN-13: 1617298719

DOWNLOAD EBOOK →

Field-tested tips, tricks, and design patterns for building machine learning projects that are deployable, maintainable, and secure from concept to production. In Machine Learning Engineering in Action, you will learn: Evaluating data science problems to find the most effective solution Scoping a machine learning project for usage expectations and budget Process techniques that minimize wasted effort and speed up production Assessing a project using standardized prototyping work and statistical validation Choosing the right technologies and tools for your project Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices Ferrying a machine learning project from your data science team to your end users is no easy task. Machine Learning Engineering in Action will help you make it simple. Inside, you’ll find fantastic advice from veteran industry expert Ben Wilson, Principal Resident Solutions Architect at Databricks. Ben introduces his personal toolbox of techniques for building deployable and maintainable production machine learning systems. You’ll learn the importance of Agile methodologies for fast prototyping and conferring with stakeholders, while developing a new appreciation for the importance of planning. Adopting well-established software development standards will help you deliver better code management, and make it easier to test, scale, and even reuse your machine learning code. Every method is explained in a friendly, peer-to-peer style and illustrated with production-ready source code. About the technology Deliver maximum performance from your models and data. This collection of reproducible techniques will help you build stable data pipelines, efficient application workflows, and maintainable models every time. Based on decades of good software engineering practice, machine learning engineering ensures your ML systems are resilient, adaptable, and perform in production. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the book Machine Learning Engineering in Action teaches you core principles and practices for designing, building, and delivering successful machine learning projects. You’ll discover software engineering techniques like conducting experiments on your prototypes and implementing modular design that result in resilient architectures and consistent cross-team communication. Based on the author’s extensive experience, every method in this book has been used to solve real-world projects. What's inside Scoping a machine learning project for usage expectations and budget Choosing the right technologies for your design Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices About the reader For data scientists who know machine learning and the basics of object-oriented programming. About the author Ben Wilson is Principal Resident Solutions Architect at Databricks, where he developed the Databricks Labs AutoML project, and is an MLflow committer. Table of Contents PART 1 AN INTRODUCTION TO MACHINE LEARNING ENGINEERING 1 What is a machine learning engineer? 2 Your data science could use some engineering 3 Before you model: Planning and scoping a project 4 Before you model: Communication and logistics of projects 5 Experimentation in action: Planning and researching an ML project 6 Experimentation in action: Testing and evaluating a project 7 Experimentation in action: Moving from prototype to MVP 8 Experimentation in action: Finalizing an MVP with MLflow and runtime optimization PART 2 PREPARING FOR PRODUCTION: CREATING MAINTAINABLE ML 9 Modularity for ML: Writing testable and legible code 10 Standards of coding and creating maintainable ML code 11 Model measurement and why it’s so important 12 Holding on to your gains by watching for drift 13 ML development hubris PART 3 DEVELOPING PRODUCTION MACHINE LEARNING CODE 14 Writing production code 15 Quality and acceptance testing 16 Production infrastructure

Another Sort of Learning

Author: James V. Schall

Publisher: Ignatius Press

Published: 2011-05-12

Total Pages: 314

ISBN-13: 1681490412

DOWNLOAD EBOOK →

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 Loom of Language

Author: Frederick Bodmer

Publisher: W. W. Norton & Company

Published: 1985

Total Pages: 724

ISBN-13: 9780393300345

DOWNLOAD EBOOK →

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.

Blended Learning with Google

Author: Kasey Bell

Publisher:

Published: 2020-12-07

Total Pages: 168

ISBN-13: 9781735601823

DOWNLOAD EBOOK →

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!