Facilitating Deep Learning
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| Author | : George Lakey |
| Publisher | : John Wiley & Sons |
| Total Pages | : 223 |
| Release | : 2010-09-03 |
| Genre | : Education |
| ISBN | : 0470886986 |
Praise for Facilitating Group Learning "In this engaging and accessible book, George Lakey draws on a lifetime's experience to provide a highly practical resource to anyone seeking to understand and respond to the complexities of group work. The book will be invaluable to anyone trying to effect social change through groups while striving to stay simultaneously sane and employed." Stephen D. Brookfield, Distinguished University Professor, University of St. Thomas "I've been working with forms of direct education for many decades, and I found new ideas and inspirations in every chapter. For anyone involved in teaching, training, sharing skills, or leading groups, this book is an invaluable resource!" Starhawk, author, The Earth Path, Dreaming the Dark, and Webs of Power "George Lakey has inspired our union to engage in education in a way that challenges us to redefine social justice and equality in new and exciting ways. This book helps us to continue our journey to touch the souls of union members." Denis Lemelin, national president, Canadian Union of Postal Workers "Facilitating Group Learning will ease the way of all who venture into the white waters of facilitation. George clarifies the most basic, complex, and nagging challenges of facilitation, while honoring the realities of individual and social power dynamics and providing real-life examples from the path of continued growth and mastery. A rare gift!" Niyonu D. Spann, founding president, TRV Consulting and Beyond Diversity 101 "This book is a must-read for people who teach adults of any age, no matter what the subject, and care about doing it in ways that yield deep and abiding learning. Wonderfully well-written and rich with psychological and spiritual insights as well as practical strategies, it represents the fruits of a lifetime of transformational teaching and learning by one of the foremost adult educators of our time." Parker J. Palmer, author, The Courage to Teach, Let Your Life Speak, and The Heart of Higher Education
| Author | : Julian Hermida |
| Publisher | : CRC Press |
| Total Pages | : 373 |
| Release | : 2014-07-01 |
| Genre | : Business & Economics |
| ISBN | : 1771880058 |
Deep learning is a committed approach to learning. It is a process of constructing and interpreting new knowledge in light of prior cognitive structures and experiences, which can be applied in new, unfamiliar contexts. Deep learning produces learning that lasts a lifetime; and it results in better quality learning and profound understanding. In contrast, surface learning involves a dispassionate approach to learning. The surface learner is not concerned with understanding. Information acquired is usually lost after examinations; and there is no profound understanding or knowledge construction. Research studies show that most university and college students today take a surface approach to learning. The purpose of this book is to show readers how to create a learning environment that promotes deep learning in their classes. The book will do so by providing readers with the theoretical and pedagogical tools needed to: • Understand the notion of deep learning • Design and implement courses that encourage students to take a deep approach to learning • Design engaging and innovative teaching and learning activities that encourage students to use higher-order cognitive skills to construct knowledge and negotiate meaning • Implement assessment tools aimed at facilitating the deep learning process • Support international and other nontraditional students to construct learning deeply. The book begins with an examination of the big picture: the institutional constraints that hinder a culture of deep learning. From there, it deconstructs the concept of deep learning, and it examines every element of the deep learning process. It also discusses the factors that contribute to produce a deep learning environment. The rest of the chapters are about how to facilitate deep learning. The book examines every component of the teaching and learning system: goals, performances, and evaluation. It discusses strategies and methods that teachers can adopt to help students learn how to read and write in their disciplines in a deep way. The book also discusses the notion of inclusive deep learning environments which focus on engaging nontraditional students.
| Author | : Michael Fullan |
| Publisher | : Corwin Press |
| Total Pages | : 209 |
| Release | : 2017-11-06 |
| Genre | : Education |
| ISBN | : 150636859X |
New Pedagogies for Deep Learning (NDPL) provides a comprehensive strategy for systemwide transformation. Using the 6 competencies of NDPL and a wealth of vivid examples, Fullan re-defines and re-examines what deep learning is and identifies the practical strategies for revolutionizing learning and leadership.
| Author | : Jon Krohn |
| Publisher | : Addison-Wesley Professional |
| Total Pages | : 725 |
| Release | : 2019-08-05 |
| Genre | : Computers |
| ISBN | : 0135121728 |
"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." – Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
| Author | : Linda Darling-Hammond |
| Publisher | : Harvard Education Press |
| Total Pages | : 477 |
| Release | : 2021-02-08 |
| Genre | : Education |
| ISBN | : 1682532941 |
Preparing Teachers for Deeper Learning answers an urgent call for teachers who educate children from diverse backgrounds to meet the demands of a changing world. In today’s knowledge economy, teachers must prioritize problem-solving ability, adaptability, critical thinking, and the development of interpersonal and collaborative skills over rote memorization and the passive transmission of knowledge. Authors Linda Darling-Hammond and Jeannie Oakes and their colleagues examine what this means for teacher preparation and showcase the work of programs that are educating for deeper learning, equity, and social justice. Guided by the growing knowledge base in the science of learning and development, the book examines teacher preparation programs at Alverno College, Bank Street College of Education, High Tech High’s Intern Program, Montclair State University, San Francisco Teacher Residency, Trinity University, and University of Colorado Denver. These seven programs share a common understanding of how people learn that shape similar innovative practices. With vivid examples of teaching for deeper learning in coursework and classrooms; interviews with faculty, school partners, and novice teachers; surveys of teacher candidates and graduates; and analyses of curriculum and practices, Preparing Teachers for Deeper Learning depicts transformative forms of teaching and teacher preparation that honor and expand all students’ abilities, knowledges, and experiences, and reaffirm the promise of educating for a better world.
| Author | : Jal Mehta |
| Publisher | : Harvard University Press |
| Total Pages | : 465 |
| Release | : 2019-04-22 |
| Genre | : Education |
| ISBN | : 0674988396 |
"The best book on high school dynamics I have ever read."--Jay Mathews, Washington Post An award-winning professor and an accomplished educator take us beyond the hype of reform and inside some of America's most innovative classrooms to show what is working--and what isn't--in our schools. What would it take to transform industrial-era schools into modern organizations capable of supporting deep learning for all? Jal Mehta and Sarah Fine's quest to answer this question took them inside some of America's most innovative schools and classrooms--places where educators are rethinking both what and how students should learn. The story they tell is alternately discouraging and hopeful. Drawing on hundreds of hours of observations and interviews at thirty different schools, Mehta and Fine reveal that deeper learning is more often the exception than the rule. And yet they find pockets of powerful learning at almost every school, often in electives and extracurriculars as well as in a few mold-breaking academic courses. These spaces achieve depth, the authors argue, because they emphasize purpose and choice, cultivate community, and draw on powerful traditions of apprenticeship. These outliers suggest that it is difficult but possible for schools and classrooms to achieve the integrations that support deep learning: rigor with joy, precision with play, mastery with identity and creativity. This boldly humanistic book offers a rich account of what education can be. The first panoramic study of American public high schools since the 1980s, In Search of Deeper Learning lays out a new vision for American education--one that will set the agenda for schools of the future.
| Author | : Jon F. Wergin |
| Publisher | : Cambridge University Press |
| Total Pages | : 213 |
| Release | : 2019-12-19 |
| Genre | : Psychology |
| ISBN | : 1108570178 |
Much has been written about the escalating intolerance of worldviews other than one's own. Reasoned arguments based on facts and data seem to have little impact in our increasingly post-truth culture dominated by social media, fake news, tribalism, and identity politics. Recent advances in the study of human cognition, however, offer insights on how to counter these troubling social trends. In this book, psychologist Jon F. Wergin calls upon recent research in learning theory, social psychology, politics, and the arts to show how a deep learning mindset can be developed in both oneself and others. Deep learning is an acceptance that our understanding of the world around us is only temporary and is subject to constant scrutiny. Someone who is committed to learning deeply does not simply react to experiences, but engages fully with that experience, knowing that the inevitable disquietude is what leads to efficacy in the world.
| Author | : Jayson W. Richardson |
| Publisher | : CRC Press |
| Total Pages | : 138 |
| Release | : 2021-07-27 |
| Genre | : Education |
| ISBN | : 1000409538 |
This exciting book explores how leaders have implemented, sustained, and pushed innovative, deeper learning opportunities in their school settings. Across the United States and around the world, the concept of a school is growing more action-oriented, performance-focused, digitally relevant, and democratically infused. In this book, you’ll hear from real schools and leaders about practices that are changing schools and leading to deeper learning experiences across seven categories of innovative practice—including vision, agency in learning, trust in teachers, openness to new ideas, over-communicating change, equity mindedness, and courage to live outside norms. Leadership for Deeper Learning looks at how school leaders change the status quo and create different learning environments for students and teachers. Rich in stories and strategies, this book will provide you with the ideas and tools to rethink and reignite learning for the future.
| Author | : Joanne Quinn |
| Publisher | : Corwin Press |
| Total Pages | : 297 |
| Release | : 2019-07-15 |
| Genre | : Education |
| ISBN | : 1544385404 |
The leading experts in system change and learning, with their school-based partners around the world, have created this essential companion to their runaway best-seller, Deep Learning: Engage the World Change the World. This hands-on guide provides a roadmap for building capacity in teachers, schools, districts, and systems to design deep learning, measure progress, and assess conditions needed to activate and sustain innovation. Dive Into Deep Learning: Tools for Engagement is rich with resources educators need to construct and drive meaningful deep learning experiences in order to develop the kind of mindset and know-how that is crucial to becoming a problem-solving change agent in our global society. Designed in full color, this easy-to-use guide is loaded with tools, tips, protocols, and real-world examples. It includes: • A framework for deep learning that provides a pathway to develop the six global competencies needed to flourish in a complex world — character, citizenship, collaboration, communication, creativity, and critical thinking. • Learning progressions to help educators analyze student work and measure progress. • Learning design rubrics, templates and examples for incorporating the four elements of learning design: learning partnerships, pedagogical practices, learning environments, and leveraging digital. • Conditions rubrics, teacher self-assessment tools, and planning guides to help educators build, mobilize, and sustain deep learning in schools and districts. Learn about, improve, and expand your world of learning. Put the joy back into learning for students and adults alike. Dive into deep learning to create learning experiences that give purpose, unleash student potential, and transform not only learning, but life itself.
| Author | : Shih-Chia Huang |
| Publisher | : Academic Press |
| Total Pages | : 366 |
| Release | : 2021-07-06 |
| Genre | : Science |
| ISBN | : 0323901999 |
Principles and Labs for Deep Learning provides the knowledge and techniques needed to help readers design and develop deep learning models. Deep Learning techniques are introduced through theory, comprehensively illustrated, explained through the TensorFlow source code examples, and analyzed through the visualization of results. The structured methods and labs provided by Dr. Huang and Dr. Le enable readers to become proficient in TensorFlow to build deep Convolutional Neural Networks (CNNs) through custom APIs, high-level Keras APIs, Keras Applications, and TensorFlow Hub. Each chapter has one corresponding Lab with step-by-step instruction to help the reader practice and accomplish a specific learning outcome. Deep Learning has been successfully applied in diverse fields such as computer vision, audio processing, robotics, natural language processing, bioinformatics and chemistry. Because of the huge scope of knowledge in Deep Learning, a lot of time is required to understand and deploy useful, working applications, hence the importance of this new resource. Both theory lessons and experiments are included in each chapter to introduce the techniques and provide source code examples to practice using them. All Labs for this book are placed on GitHub to facilitate the download. The book is written based on the assumption that the reader knows basic Python for programming and basic Machine Learning. - Introduces readers to the usefulness of neural networks and Deep Learning methods - Provides readers with in-depth understanding of the architecture and operation of Deep Convolutional Neural Networks - Demonstrates the visualization needed for designing neural networks - Provides readers with an in-depth understanding of regression problems, binary classification problems, multi-category classification problems, Variational Auto-Encoder, Generative Adversarial Network, and Object detection
