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.

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.

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.

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.

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!

Reinforcement Learning

Author : Phil Winder Ph.D.
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492072346
Total Pages : 517 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Reinforcement Learning by : Phil Winder Ph.D.

Download or read book Reinforcement Learning written by Phil Winder Ph.D. and published by "O'Reilly Media, Inc.". This book was released on 2020-11-06 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself. Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focus on industrial applications, learn numerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production. This is no cookbook; doesn't shy away from math and expects familiarity with ML. Learn what RL is and how the algorithms help solve problems Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning Dive deep into a range of value and policy gradient methods Apply advanced RL solutions such as meta learning, hierarchical learning, multi-agent, and imitation learning Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more Get practical examples through the accompanying website

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.

Machine Learning Engineering in Action

Author : Ben Wilson
Publisher : Simon and Schuster
ISBN 13 : 1617298719
Total Pages : 574 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Machine Learning Engineering in Action by : Ben Wilson

Download or read book Machine Learning Engineering in Action written by Ben Wilson and published by Simon and Schuster. This book was released on 2022-04-26 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Virtual Training

Author : Jeb Blount
Publisher : John Wiley & Sons
ISBN 13 : 1119755832
Total Pages : 279 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Virtual Training by : Jeb Blount

Download or read book Virtual Training written by Jeb Blount and published by John Wiley & Sons. This book was released on 2021-06-22 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote learning has been around since the 18th century. Caleb Phillips began advertising correspondence courses in the Boston Gazette in 1728 allowing people, for the first time, to learn new skills no matter where they lived. For the past 300 years, virtual training, in its various formats, has been meandering into shore on an inevitable yet slow building tide. And then, just like that, everything changed. A global pandemic. Social distancing. Working from home. In an instant, the tide became a tsunami. The global pandemic accelerated the broad adoption of virtual instructor led training along with awareness that classroom-based training is often expensive, inefficient, and fails to deliver a fair return on investment. While it is certainly more challenging to re-create the collaborative environment of the physical classroom in a virtual setting, virtual training combines the structure, accountability, and social learning benefits of classroom training with speed, agility, and significant cost savings. Simply put, virtual training enables organizations to rapidly upskill more people, while generating a far higher return on the training investment. Virtual training is also green. Studies indicate that virtual training consumes nearly 90% less energy and produces 85% fewer CO2 emissions than classroom training. Still, the biggest challenge with virtual training, and the reason there has been so much resistance to it, is historically the experience has been excruciating. Not the quality of the curriculum or content. Not the talent of the trainer. The learning experience. There are few people who haven’t had the pleasure of sitting through agonizing virtual training sessions. Death by voice over PowerPoint, delivered by a disengaged instructor, has an especially bitter flavor. It is the way virtual training is delivered that matters most. When the virtual learning experience is emotionally positive: Participants are more engaged, embrace new competencies, and knowledge sticks Participants are more likely to show up to class and be open to future virtual training Trainers enjoy their work and gain fulfillment from making an impact Leaders book more virtual training Organizations more readily blend and integrate virtual training into learning & development initiatives This is exactly what this book is about. Virtual Training is the definitive guide to delivering virtual training that engages learners and makes new skills and behavioral changes stick. Jeb Blount, one of the most celebrated trainers and authors of our generation, walks you step-by-step through the seven elements of effective, engaging virtual learning experiences. Trainer Mindset & Emotional Discipline Production & Technology Media & Visuals Virtual Curriculum & Instructional Design Planning & Preparation Virtual Communication Skills Dynamic & Interactive Training Delivery As you dive into these powerful insights, and with each new chapter, you’ll gain greater and greater confidence in your ability to effectively deliver training in a virtual classroom. Once you master virtual training delivery and experience the power of remote learning, you may never want to go back to the physical classroom again.

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.

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.

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.

Grokking Deep Learning

Author : Andrew W. Trask
Publisher : Simon and Schuster
ISBN 13 : 163835720X
Total Pages : 475 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Grokking Deep Learning by : Andrew W. Trask

Download or read book Grokking Deep Learning written by Andrew W. Trask and published by Simon and Schuster. This book was released on 2019-01-23 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning. About the Book Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks. What's inside The science behind deep learning Building and training your own neural networks Privacy concepts, including federated learning Tips for continuing your pursuit of deep learning About the Reader For readers with high school-level math and intermediate programming skills. About the Author Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world's largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform. Table of Contents Introducing deep learning: why you should learn it Fundamental concepts: how do machines learn? Introduction to neural prediction: forward propagation Introduction to neural learning: gradient descent Learning multiple weights at a time: generalizing gradient descent Building your first deep neural network: introduction to backpropagation How to picture neural networks: in your head and on paper Learning signal and ignoring noise:introduction to regularization and batching Modeling probabilities and nonlinearities: activation functions Neural learning about edges and corners: intro to convolutional neural networks Neural networks that understand language: king - man + woman == ? Neural networks that write like Shakespeare: recurrent layers for variable-length data Introducing automatic optimization: let's build a deep learning framework Learning to write like Shakespeare: long short-term memory Deep learning on unseen data: introducing federated learning Where to go from here: a brief guide

Living, Learning, and Languaging Across Borders

Author : Tatyana Kleyn
Publisher : Routledge
ISBN 13 : 1000442527
Total Pages : 254 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Living, Learning, and Languaging Across Borders by : Tatyana Kleyn

Download or read book Living, Learning, and Languaging Across Borders written by Tatyana Kleyn and published by Routledge. This book was released on 2021-09-30 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addressing the roles of education, language, and identity in cyclical migration, this book highlights the voices and experiences of transborder students in Mexico who were born or raised in the US. The stories develop a portrait of the lived realities, joys, and challenges that young people face across elementary, secondary, and tertiary levels. The book not only discusses migration and education policies and pedagogies grounded in the fluid lives of these young people, but its photography also presents their experiences in a visual dimension that words alone cannot capture. This in-depth, multimodal study examines the interplay of language, power, and schooling as they affect students and their families to provide insights for educators to develop meaningful pedagogies that are responsive to students’ border crossing experiences. Living, Learning, and Languaging Across Borders is a vital resource for pre- and in-service teachers, teacher educators, graduate students and scholars in bilingual and multilingual education, literacy and language policy, and immigration and education in the US, Mexico, and beyond. It offers important insights into the complex landscapes transborder students navigate, and considers policy and pedagogy implications that reject problematic assumptions and humanize approaches to the education and migration experiences of transborder students.

My Shadow Is Pink

Author : Scott Stuart
Publisher :
ISBN 13 : 9780648728764
Total Pages : pages
Book Rating : 4.7/5 (287 download)

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Book Synopsis My Shadow Is Pink by : Scott Stuart

Download or read book My Shadow Is Pink written by Scott Stuart and published by . This book was released on 2020-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: My Dad has a shadow that's blue as can be, and there's nothingbut blue in my whole family tree.But mine is quite different, it's not what you think.For mine is not blue... My shadow is PINK!An uplifiting book about daring to be different and having thecourage to be true to yourself.

The Practice of Learning Teams

Author : Glynis McCarthy
Publisher :
ISBN 13 :
Total Pages : 262 pages
Book Rating : 4.6/5 (653 download)

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Book Synopsis The Practice of Learning Teams by : Glynis McCarthy

Download or read book The Practice of Learning Teams written by Glynis McCarthy and published by . This book was released on 2020-08 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning Teams from Dr Todd Conklin, PhD, are part of a way of looking at safety, quality and operational excellence differently by a facilitated approach to worker engagement and supporting the empowerment of people to own safety, quality or operational excellence. A Learning Team is notable because it encourages organizations to obtain and consider different perspectives and angles of functional diversity to define a problem in a group context. The different perspectives that emerge from a Learning Team group demonstrate that no one person holds all the knowledge needed to solve complex problems.A Learning Team involves facilitated engagement (using a facilitator) with workers to understand and then learn from the opportunities that are presented by:1) Everyday successful and safe work (Everyday Learning Teams)2) Events or incidents that could have or did harm workers (Event Learning Teams)3) Introduction of changes (Management of change) that could affect worker safety (Periodic Learning Teams).Learning Teams support both worker learning and organizational learning by allowing the different stakeholders groups to understand better what, when, how, and why, people do things differently rather than following formal, written procedures or systems. By understanding what is necessary to make sure things go right, it is possible to focus on ensuring that factors which make things go right are present in the workplace every day. In the book Dr Todd Conklin states: "The Practice of Learning Teams will become a powerful resource in changing the way organizations learn and improve their operations. This book is easy to read and full of great concepts that can be used as soon as you read them. I love a book where you read an idea in the morning and try the same idea that very afternoon."This book has been written to act as a guide on how to:1) Integrate Learning Teams into your organization2) Improve worker learning and build critical thinking skills for workers in their everyday work3) Improve organizational learning using Learning Teams4) Become an effective Learning Teams facilitator by understanding what core capabilities and competencies are neededThroughout this book, we will explore examples of applications of Learning Teams in safety, quality and operational excellence.As the reader, you will gain additional knowledge and understanding about Learning Teams in the context of:1) The expected outcomes of a Learning Team2) Where you are at and how you become an effective Learning Team facilitator3) Learning about what makes a successful Learning Team4) When you can use a Learning Team to build and improve worker knowledge5) When you can use a Learning Team to build and improve organizational knowledge6) An opportunity to see the different contexts in which a Learning Team can add value7) Reflecting and learning from real-life experiences where Learning Teams have been successful, and considering the pitfalls that make them less effective.