The Path Of Learning
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The Path Of Learning
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Author : Henry Wyman Holmes
language : en
Publisher:
Release Date : 1926
The Path Of Learning written by Henry Wyman Holmes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1926 with Education categories.
Teaching For Learning
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Author : Claire Howell Major
language : en
Publisher: Routledge
Release Date : 2015-08-27
Teaching For Learning written by Claire Howell Major and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-27 with Education categories.
Despite a growing body of research on teaching methods, instructors lack a comprehensive resource that highlights and synthesizes proven approaches. Teaching for Learning fills that gap. Each of the one hundred and one entries: describes an approach and lists its essential features and elements demonstrates how that approach has been used in education, including specific examples from different disciplines reviews findings from the research literature describes techniques to improve effectiveness. Teaching for Learning provides instructors with a resource grounded in the academic knowledge base, written in an easily accessible, engaging, and practical style.
The Third Path
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Author : David Tranter
language : en
Publisher:
Release Date : 2018
The Third Path written by David Tranter and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Academic achievement categories.
"The Third Path was developed in response to issues being faced by today's educators. The Third Path integrates well-being and academics by shifting the classroom focus from tasks to relationships, from checklists to check-ins. It views education as a journey of human development, not just for the student, but for the educator too."--Page [4] of cover.
The Path
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Author : Michael Puett
language : en
Publisher: Simon and Schuster
Release Date : 2016-04-05
The Path written by Michael Puett and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-05 with Body, Mind & Spirit categories.
For the first time, an award-winning Harvard professor shares his wildly popular course on classical Chinese philosophy, showing you how ancient ideas—like the fallacy of the authentic self—can guide you on the path to a good life today. Why is a course on ancient Chinese philosophers one of the most popular at Harvard? Because it challenges all our modern assumptions about what it takes to flourish. Astonishing teachings emerged two thousand years ago through the work of a succession of Chinese scholars exploring how humans can improve themselves and their society. And what are these counterintuitive ideas? Transformation comes not from looking within for a true self, but from creating conditions that produce new possibilities. Good relationships come not from being sincere and authentic, but from the rituals we perform within them. A good life emerges not from planning it out, but through training ourselves to respond well to small moments. Influence comes not from wielding power but from holding back. Excellence comes from what we choose to do, not our natural abilities. In other words, The Path “opens the mind” (Huffington Post) and upends everything we are told about how to lead a good life. Its most radical idea is that there is no path to follow in the first place—just a journey we create anew at every moment by seeing and doing things differently. “With its…spirited, convincing vision, revolutionary new insights can be gleaned from this book on how to approach life’s multifarious situations with both heart and head” (Kirkus Reviews). A note from the publisher: To read relevant passages from the original works of Chinese philosophy, see our ebook Confucius, Mencius, Laozi, Zhuangzi, Xunzi: Selected Passages, available wherever books are sold.
On The Path To Ai
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Author : Thomas D. Grant
language : en
Publisher: Springer Nature
Release Date : 2020-06-02
On The Path To Ai written by Thomas D. Grant and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-02 with Social Science categories.
This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two ‘revolutions’ in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of the 19th century. Holmes reconceived law as prophecy based on experience, prefiguring the buzzwords of the machine learning age—prediction based on datasets. On the path to AI introduces readers to the key concepts of machine learning, discusses the potential applications and limitations of predictions generated by machines using data, and informs current debates amongst scholars, lawyers and policy makers on how it should be used and regulated wisely. Technologists will also find useful lessons learned from the last 120 years of legal grappling with accountability, explainability, and biased data.
Learning How To Learn
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Author : Barbara Oakley, PhD
language : en
Publisher: Penguin
Release Date : 2018-08-07
Learning How To Learn written by Barbara Oakley, PhD and has been published by Penguin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-07 with Juvenile Nonfiction categories.
A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid "rut think" in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.
Deep Learning For Coders With Fastai And Pytorch
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Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29
Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
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
Optimal Learning
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Author : Warren B. Powell
language : en
Publisher: John Wiley & Sons
Release Date : 2012-04-17
Optimal Learning written by Warren B. Powell and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-17 with Mathematics categories.
Learn the science of collecting information to make effective decisions Everyday decisions are made without the benefit of accurate information. Optimal Learning develops the needed principles for gathering information to make decisions, especially when collecting information is time-consuming and expensive. Designed for readers with an elementary background in probability and statistics, the book presents effective and practical policies illustrated in a wide range of applications, from energy, homeland security, and transportation to engineering, health, and business. This book covers the fundamental dimensions of a learning problem and presents a simple method for testing and comparing policies for learning. Special attention is given to the knowledge gradient policy and its use with a wide range of belief models, including lookup table and parametric and for online and offline problems. Three sections develop ideas with increasing levels of sophistication: Fundamentals explores fundamental topics, including adaptive learning, ranking and selection, the knowledge gradient, and bandit problems Extensions and Applications features coverage of linear belief models, subset selection models, scalar function optimization, optimal bidding, and stopping problems Advanced Topics explores complex methods including simulation optimization, active learning in mathematical programming, and optimal continuous measurements Each chapter identifies a specific learning problem, presents the related, practical algorithms for implementation, and concludes with numerous exercises. A related website features additional applications and downloadable software, including MATLAB and the Optimal Learning Calculator, a spreadsheet-based package that provides an introduction to learning and a variety of policies for learning.
The Future Of Ubiquitous Learning
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Author : Begoña Gros
language : en
Publisher: Springer
Release Date : 2015-07-28
The Future Of Ubiquitous Learning written by Begoña Gros and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-28 with Education categories.
This book explores emerging pedagogical perspectives based on the design of new learning spaces supported by digital technologies and brings together some of the best research in this field. The book is divided into three themes: foundations of emerging pedagogies, learning designs for emerging pedagogies and, adaptive and personalized learning. The chapters provide up-to-date information about new pedagogical proposals, and examples for acquiring the requisite skills to both design and support learning opportunities that improve the potential of available technologies.
How Learning Works
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Author : Susan A. Ambrose
language : en
Publisher: John Wiley & Sons
Release Date : 2010-04-16
How Learning Works written by Susan A. Ambrose and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-16 with Education categories.
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