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Facilitating Deep Learning
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Book Synopsis Facilitating Deep Learning by : Julian Hermida
Download or read book Facilitating Deep Learning written by Julian Hermida and published by CRC Press. This book was released on 2014-07-01 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 co
Download or read book Deep Learning written by Michael Fullan and published by Corwin Press. This book was released on 2017-11-06 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Facilitating Deep Learning by : Julian Hermida
Download or read book Facilitating Deep Learning written by Julian Hermida and published by CRC Press. This book was released on 2014-07-01 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Facilitating Group Learning by : George Lakey
Download or read book Facilitating Group Learning written by George Lakey and published by John Wiley & Sons. This book was released on 2010-09-03 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Deep Learning Illustrated by : Jon Krohn
Download or read book Deep Learning Illustrated written by Jon Krohn and published by Addison-Wesley Professional. This book was released on 2019-08-05 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
Book Synopsis Preparing Teachers for Deeper Learning by : Linda Darling-Hammond
Download or read book Preparing Teachers for Deeper Learning written by Linda Darling-Hammond and published by Harvard Education Press. This book was released on 2021-02-08 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis In Search of Deeper Learning by : Jal Mehta
Download or read book In Search of Deeper Learning written by Jal Mehta and published by Harvard University Press. This book was released on 2019-04-22 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
Book Synopsis The Facilitation of Deep Learning by : Jane Louise Fowler
Download or read book The Facilitation of Deep Learning written by Jane Louise Fowler and published by . This book was released on 1994 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Leadership for Deeper Learning by : Jayson W. Richardson
Download or read book Leadership for Deeper Learning written by Jayson W. Richardson and published by CRC Press. This book was released on 2021-07-27 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Transforming Your Students Into Deep Learners by : Charlie Sweet
Download or read book Transforming Your Students Into Deep Learners written by Charlie Sweet and published by . This book was released on 2016-03-21 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title is intended as a follow-up to Achieving Excellence in Teaching: A Self-help Guide (2014). In Chapter Three of the latter, the authors posited deep learning the major goal of higher education. This book elaborates on the concept of deep learning and offers a rationale for why K-12 students have difficulty with college teaching-overcoming the learning gap. To help concerned instructors instill deep learning in their students, the book provides the Excellent Eight, specific strategies based on recent research and experience. BACKGROUND TO DEEP LEARNING / 1 01. Introduction / 3 02. Deep Learning vs. Surface Learning/ 7 03. The Making of Academic Surfers: Characteristics of Today's Entering College Students and Culture That Hinder Deep Learning/ 15 04. The Learning Gap/ 25 EIGHT EXCELLENT STRATEGIES FOR DEEP LEARNING: Using BRIDLE/ 27 05. STRATEGY I: Climbing Bloom's Staircase/ 29 06. STRATEGY II: Presenting for Deep Learning / 37 07. STRATEGY III: Facilitating Retrieving for Deep Learning/ 45 08. STRATEGY IV: Fostering Metacognition for Deep Learning/ 53 09. STRATEGY V: Developing Critical Thinking for Deep Learning/ 63 10. STRATEGY VI: Employing Deep Reading for Deep Learning/ 73 11. STRATEGY VII: Creating Spaces for Deep Learning/ 79 12. STRATEGY VIII: Motivating Students to be Deep Learners/ 85 HONING YOUR SKILLS93 13. Conclusion/ 95 14. Appendix A: BRIDLE: A Systematic Plan for Self-Improvement in Promoting Deep Learning / 97 15. Appendix B: A Selected, Partially Annotated Bibliography / 103 16. Appendix C: ARTS, A Student Learning Skills Inventory / 109 About the Authors/ 111
Book Synopsis Dive Into Deep Learning by : Joanne Quinn
Download or read book Dive Into Deep Learning written by Joanne Quinn and published by Corwin Press. This book was released on 2019-07-15 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis FIRST Framework, 5 Domains 15 Principles: Design & Facilitate Active Deep Learner eXperience (Volume 1) 1st Edition by : Mohamed M. Bahgat
Download or read book FIRST Framework, 5 Domains 15 Principles: Design & Facilitate Active Deep Learner eXperience (Volume 1) 1st Edition written by Mohamed M. Bahgat and published by Mohamed M. Bahgat. This book was released on 2018-02-08 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: No doubt learning is a subject that has been addressed by many books and workshops, with the core interest mostly revolving around the content and how to make it unique, relevant, concise, etc. Other books and courses would rather introduce new/creative techniques for better engaging or getting the best of the training. So where does this book stand? This book stands in the learner's shoes! It is standing as a cornerstone for a different approach, having an eye for every detail that might reflect on the learner's experience; hence the name, "Learner eXperience Facilitation". Who is this book for? This book is for learning facilitators and designers, so to get introduced to a new perspective and to learn new framework where the learner is the center of the whole process. This is considered a sound tool for professionals who work hard to leave an impact through trainings and face to face learning sessions. It targets both independent professionals and those working for specific organizations, teachers and education professionals. This book introduces FIRST framework, research based framework, which is holistic and backed by theories from different basic sciences like, educational psychology, neuroscience, cognitive psychology, design thinking; among others. These disciplines are combined together so to create an engaging framework; leading to creating positive Active Deep learner experience, and hence, positive change in mindset and behaviors. If you are a learning facilitator and you feel the need of a creative and innovative framework to highly influence trainees, then this book is for you; through which you add the active deep learning techniques to your facilitation style. FIRST framework This book introduces FIRST framework, which includes five main domains, and 15 principles. These principles act together and integrate together; creating the Active Deep Learner eXperience. FIRST framework is a holistic one; it is based on other models and theories, such as: experiential learning by Kolb and John Dewey; cooperative learning by Kagan; Carl Rogers’ facilitation skills, Roy’s 6Ds and learning transfer; as well as positive psychology principles. FIRST is also inspired by the spirit of group coaching, which aims at promoting deep change and is focused on the future. It is a scientific and research based framework, developed through our experience in learning and development field; as well as measuring the impact of implementing the model via SeGa or our learners. FIRST framework is not only aiming to create active learning experience, it also targets transforming learning into performance, because incorporating both active and deep strategies creates engagement and impact. The five domains of FIRST act as layers each of them build on the previous domain and add to it, all the principles integrate with each other to form the active deep learner experience. "The end result is a proven, practical, and priceless model with five domains and fifteen principles that you can use yourself in staging active deep learning experiences." B. Joseph Pine II. Author, The Experience Economy. "FIRST framework provides important insights, principles, and practical advice for doing so a travel guide, if you will, that will help you on your own learning journey and those on which you lead others." Roy V.H. Pollock, DVM, PhD. Author, The Six Disciplines of Breakthrough Learning
Book Synopsis Deep Learning in a Disorienting World by : Jon F. Wergin
Download or read book Deep Learning in a Disorienting World written by Jon F. Wergin and published by Cambridge University Press. This book was released on 2020 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shows how deep learning is a way to address the toxicity of social polarization.
Book Synopsis Deep Active Learning by : Kayo Matsushita
Download or read book Deep Active Learning written by Kayo Matsushita and published by Springer. This book was released on 2017-09-12 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to connect the concepts of active learning and deep learning, and to delineate theory and practice through collaboration between scholars in higher education from three countries (Japan, the United States, and Sweden) as well as different subject areas (education, psychology, learning science, teacher training, dentistry, and business).It is only since the beginning of the twenty-first century that active learning has become key to the shift from teaching to learning in Japanese higher education. However, “active learning” in Japan, as in many other countries, is just an umbrella term for teaching methods that promote students’ active participation, such as group work, discussions, presentations, and so on.What is needed for students is not just active learning but deep active learning. Deep learning focuses on content and quality of learning whereas active learning, especially in Japan, focuses on methods of learning. Deep active learning is placed at the intersection of active learning and deep learning, referring to learning that engages students with the world as an object of learning while interacting with others, and helps the students connect what they are learning with their previous knowledge and experiences as well as their future lives.What curricula, pedagogies, assessments and learning environments facilitate such deep active learning? This book attempts to respond to that question by linking theory with practice.
Book Synopsis Discussion as a Way of Teaching by : Stephen Brookfield
Download or read book Discussion as a Way of Teaching written by Stephen Brookfield and published by McGraw-Hill Education (UK). This book was released on 1999-01-01 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written for all university and college teachers interested in experimenting with discussion methods in their classrooms. Discussion as a Way of Teaching is a book full of ideas, techniques, and usable suggestions on: * How to prepare students and teachers to participate in discussion * How to get discussions started * How to keep discussions going * How to ensure that teachers' and students' voices are kept in some sort of balance It considers the influence of factors of race, class and gender on discussion groups and argues that teachers need to intervene to prevent patterns of inequity present in the wider society automatically reproducing themselves inside the discussion-based classroom. It also grounds the evaluation of discussions in the multiple subjectivities of students' perceptions. An invaluable and helpful resource for university and college teachers who use, or are thinking of using, discussion approaches.
Download or read book Urban Informatics written by Wenzhong Shi and published by Springer Nature. This book was released on 2021-04-06 with total page 941 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.
Book Synopsis Principles and Labs for Deep Learning by : Shih-Chia Huang
Download or read book Principles and Labs for Deep Learning written by Shih-Chia Huang and published by Academic Press. This book was released on 2021-07-06 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
