Free Agent Learning

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Publisher : John Wiley & Sons
ISBN 13 : 1119789834
Total Pages : 362 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Free Agent Learning by : Julie A. Evans

Download or read book Free Agent Learning written by Julie A. Evans and published by John Wiley & Sons. This book was released on 2022-10-04 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore how students are disrupting education by using digital resources to support self-direct learning Free Agent Learning: Leveraging Students' Self-Directed Learning to Transform K-12 Education explores an emerging cohort of students that are self-directing their learning around interest-driven topics, the tools they're using to scaffold these experiences, and their motivations for these out-of-school learning behaviors. Readers will find new insights and frameworks for effectively leveraging the lived experiences of their students and transforming their schools' cultures, norms and practices. In this book, readers will learn how education leaders can translate a newly emerged understanding about students' self-directed learning into actionable knowledge to improve teaching and learning Free Agent Learners also offers: Info dispelling the myth that real learning only happens in a classroom Discussions of how modern students are using digital tools, content, and resources for purposeful learning outside of teacher direction or sponsorship Actionable tips and accessible strategies for the use of the Free Agent Learner Ecosystem to support school improvement Perfect for K-12 school and district administrators and decision-makers, Free Agent Learners is an eye-opening read for anyone involved in the education of primary and secondary school students.

Free Agent

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Publisher :
ISBN 13 : 9781936937639
Total Pages : 142 pages
Book Rating : 4.9/5 (376 download)

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Book Synopsis Free Agent by : Rennie Curran

Download or read book Free Agent written by Rennie Curran and published by . This book was released on 2013-04-01 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Colin Kaepernick

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Publisher : Lerner Publications (Tm)
ISBN 13 : 1541556178
Total Pages : 52 pages
Book Rating : 4.5/5 (415 download)

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Book Synopsis Colin Kaepernick by : Eric Braun

Download or read book Colin Kaepernick written by Eric Braun and published by Lerner Publications (Tm). This book was released on 2019 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: Former NFL quarterback Colin Kaepernick drew positive and negative attention for kneeling during the national anthem to protest police violence against minorities in 2016. Two years later, he made headlines again when he became a spokesperson for Nike. Explore Kaepernick's football career and his work as an activist.

Reinforcement Learning, second edition

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Publisher : MIT Press
ISBN 13 : 0262352702
Total Pages : 549 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Reinforcement Learning, second edition by : Richard S. Sutton

Download or read book Reinforcement Learning, second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

Reinforcement Learning

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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

Agency

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Publisher : Templeton Foundation Press
ISBN 13 : 1599475847
Total Pages : 305 pages
Book Rating : 4.5/5 (994 download)

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Book Synopsis Agency by : Ian V. Rowe

Download or read book Agency written by Ian V. Rowe and published by Templeton Foundation Press. This book was released on 2022-05-16 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every child in America deserves to know that a path to a successful life exists and that they have the power to follow it. But many never set foot on that path because they grow up hearing the message that systemic forces control their destinies, or that they are at fault for everything that has gone wrong in their lives. These children often come from difficult circumstances. Many are raised by young, single parents, live in disadvantaged neighborhoods, attend substandard schools, and lack the moral safeguards of religious and civic institutions. As a result, they can be dispirited into cycles of learned helplessness rather than inspired to pursue their own possibilities. Yet this phenomenon is not universal. Some children thrive where others do not. Why? Are there personal behaviors and institutional supports that have proven to make a difference in helping young people chart a course for their futures? Agency answers with a loud and clear “yes!” This book describes four pillars that can uplift every young person as they make the passage into adulthood: Family, Religion, Education, and Entrepreneurship. Together, these pillars embody the true meaning of freedom, wherein people are motivated to embrace the ennobling responsibilities of building healthy social structures and shaping the outcomes of their own lives. For that reason, Ian Rowe calls the four pillars the FREE framework. With this framework in place, children are empowered to develop agency, which Rowe defines as the force of one’s free will, guided by moral discernment. Developing agency is the alternative to the debilitating ‘blame-the-system’ and ‘blame-the-victim’ narratives. It transcends our political differences and beckons all who dare to envision lives unshackled by present realities. In addition to making the case for agency, Rowe shares his personal story of success coming from an immigrant family. He defends America as an ever-improving country worthy of our esteem. He corrects misguided calls for “anti-racism” and “equity,” and champions a game plan for creating new agents of agency, dedicated to promoting the aspirational spirit of America’s children, and showing them the path that will set them FREE.

How Learning Works

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Publisher : John Wiley & Sons
ISBN 13 : 0470617608
Total Pages : 336 pages
Book Rating : 4.4/5 (76 download)

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Book Synopsis How Learning Works by : Susan A. Ambrose

Download or read book How Learning Works written by Susan A. Ambrose and published by John Wiley & Sons. This book was released on 2010-04-16 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Learning Through Serving

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Publisher : Taylor & Francis
ISBN 13 : 1000980618
Total Pages : 382 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Learning Through Serving by : Christine M. Cress

Download or read book Learning Through Serving written by Christine M. Cress and published by Taylor & Francis. This book was released on 2023-07-03 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This substantially expanded new edition of this widely-used and acclaimed text maintains the objectives and tenets of the first. It is designed to help students understand and reflect on their community service experiences both as individuals and as citizens of communities in need of their compassionate expertise. It is designed to assist faculty in facilitating student development of compassionate expertise through the context of service in applying disciplinary knowledge to community issues and challenges. In sum, the book is about how to make academic sense of civic service in preparing for roles as future citizen leaders. Each chapter has been developed to be read and reviewed, in sequence, over the term of a service-learning course. Students in a semester course might read just one chapter each week, while those in a quarter-term course might need to read one to two chapters per week. The chapters are intentionally short, averaging 8 to 14 pages, so they do not interfere with other course content reading. This edition presents four new chapters on Mentoring, Leadership, Becoming a Change Agent, and Short-Term Immersive and Global Service-Learning experiences. The authors have also revised the original chapters to more fully address issues of social justice, privilege/power, diversity, intercultural communication, and technology; have added more disciplinary examples; incorporated additional academic content for understanding service-learning issues (e.g., attribution theory); and cover issues related to students with disabilities, and international students. This text is a student-friendly, self-directed guide to service-learning that: Develops the skills needed to succeed Clearly links service-learning to the learning goals of the course Combines self-study and peer-study workbook formats with activities that can be incorporated in class, to give teachers maximum flexibility in structuring their service-learning courses Promotes independent and collaborative learning Equally suitable for courses of a few weeks’ or a few months’ duration Shows students how to assess progress and communicate end-results Written for students participating in service learning as a class, but also suitable for students working individually on a project. Instructor's Manual This Instructor Manual discusses the following six key areas for aligning your course with use of Learning through Serving, whether you teach a senior-level high school class, freshman studies course, or a college capstone class: 1. Course and syllabus design 2. Community-partner collaboration 3. Creating class community 4. Strategic teaching techniques 5. Developing intercultural competence 6. Impact assessment

Free to Learn

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Publisher : Basic Books
ISBN 13 : 0465037917
Total Pages : 227 pages
Book Rating : 4.4/5 (65 download)

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Book Synopsis Free to Learn by : Peter Gray

Download or read book Free to Learn written by Peter Gray and published by Basic Books. This book was released on 2013-03-05 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: A leading expert in childhood development makes the case for why self-directed learning -- "unschooling" -- is the best way to get kids to learn. In Free to Learn, developmental psychologist Peter Gray argues that in order to foster children who will thrive in today's constantly changing world, we must entrust them to steer their own learning and development. Drawing on evidence from anthropology, psychology, and history, he demonstrates that free play is the primary means by which children learn to control their lives, solve problems, get along with peers, and become emotionally resilient. A brave, counterintuitive proposal for freeing our children from the shackles of the curiosity-killing institution we call school, Free to Learn suggests that it's time to stop asking what's wrong with our children, and start asking what's wrong with the system. It shows how we can act—both as parents and as members of society—to improve children's lives and to promote their happiness and learning.

Multi-Agent Machine Learning

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Publisher : John Wiley & Sons
ISBN 13 : 1118884485
Total Pages : 328 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Multi-Agent Machine Learning by : H. M. Schwartz

Download or read book Multi-Agent Machine Learning written by H. M. Schwartz and published by John Wiley & Sons. This book was released on 2014-08-26 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility traces. Chapter 3 discusses two player games including two player matrix games with both pure and mixed strategies. Numerous algorithms and examples are presented. Chapter 4 covers learning in multi-player games, stochastic games, and Markov games, focusing on learning multi-player grid games—two player grid games, Q-learning, and Nash Q-learning. Chapter 5 discusses differential games, including multi player differential games, actor critique structure, adaptive fuzzy control and fuzzy interference systems, the evader pursuit game, and the defending a territory games. Chapter 6 discusses new ideas on learning within robotic swarms and the innovative idea of the evolution of personality traits. • Framework for understanding a variety of methods and approaches in multi-agent machine learning. • Discusses methods of reinforcement learning such as a number of forms of multi-agent Q-learning • Applicable to research professors and graduate students studying electrical and computer engineering, computer science, and mechanical and aerospace engineering

Sustainable. Resilient. Free.

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Publisher : Arcadia Publishing
ISBN 13 : 1948742977
Total Pages : 129 pages
Book Rating : 4.9/5 (487 download)

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Book Synopsis Sustainable. Resilient. Free. by : John Warner

Download or read book Sustainable. Resilient. Free. written by John Warner and published by Arcadia Publishing. This book was released on 2020-12-08 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: The coronavirus pandemic laid bare the unsustainability of our public higher education system. In Sustainable. Resilient. Free. , author and educator John Warner maps out a path for change. In 1983, U.S. News and Wor

Free Agent Nation

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Publisher : Business Plus
ISBN 13 : 9780759522312
Total Pages : 368 pages
Book Rating : 4.5/5 (223 download)

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Book Synopsis Free Agent Nation by : Daniel H. Pink

Download or read book Free Agent Nation written by Daniel H. Pink and published by Business Plus. This book was released on 2001-04-26 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Widely acclaimed for its engaging style and provocative perspective, this book has helped thousands transform their working lives. Now including a 30-page resource guide that explains the basics of working for oneself. It's about fulfillment. A revolution is sweeping America. On its front lines are people fed up with unfulfilling jobs, dysfunctional workplaces, and dead-end careers. Meet today's new economic icon: the free agent-men and women who are working for themselves. And meet your future. It's about freedom. Free agents are the marketing consultant down the street, the home-based "mompreneur," the footloose technology contractor. Already 30 million strong, these 21st-century pioneers are creating lives with more meaning-and often more money. Free Agent Nation is your ticket to this world. It's about time. Now, you can discover: The kind of free agent you can be-"soloist," "temp," or "microbusiness"-and how to launch your new career. How to get the perks you once received from your boss: health insurance, office space, training, workplace togetherness, even water cooler gossip. Why the free agent economy is increasingly a woman's world-and how women are flourishing in it. The transformation of retirement-how older workers are creating successful new businesses (and whole new lives) through the Internet.

Practical Artificial Intelligence

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Publisher : Apress
ISBN 13 : 1484233573
Total Pages : 701 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Practical Artificial Intelligence by : Arnaldo Pérez Castaño

Download or read book Practical Artificial Intelligence written by Arnaldo Pérez Castaño and published by Apress. This book was released on 2018-05-23 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores subjects such as neural networks, agents, multi agent systems, supervised learning, and unsupervised learning. These and other topics will be addressed with real world examples, so you can learn fundamental concepts with AI solutions and apply them to your own projects. People tend to talk about AI as something mystical and unrelated to their ordinary life. Practical Artificial Intelligence provides simple explanations and hands on instructions. Rather than focusing on theory and overly scientific language, this book will enable practitioners of all levels to not only learn about AI but implement its practical uses. What You’ll Learn Understand agents and multi agents and how they are incorporated Relate machine learning to real-world problems and see what it means to you Apply supervised and unsupervised learning techniques and methods in the real world Implement reinforcement learning, game programming, simulation, and neural networks Who This Book Is For Computer science students, professionals, and hobbyists interested in AI and its applications.

Multi-Agent Coordination

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Publisher : John Wiley & Sons
ISBN 13 : 1119699029
Total Pages : 320 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Multi-Agent Coordination by : Arup Kumar Sadhu

Download or read book Multi-Agent Coordination written by Arup Kumar Sadhu and published by John Wiley & Sons. This book was released on 2020-12-01 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the latest developments in multi-robot coordination techniques with this insightful and original resource Multi-Agent Coordination: A Reinforcement Learning Approach delivers a comprehensive, insightful, and unique treatment of the development of multi-robot coordination algorithms with minimal computational burden and reduced storage requirements when compared to traditional algorithms. The accomplished academics, engineers, and authors provide readers with both a high-level introduction to, and overview of, multi-robot coordination, and in-depth analyses of learning-based planning algorithms. You'll learn about how to accelerate the exploration of the team-goal and alternative approaches to speeding up the convergence of TMAQL by identifying the preferred joint action for the team. The authors also propose novel approaches to consensus Q-learning that address the equilibrium selection problem and a new way of evaluating the threshold value for uniting empires without imposing any significant computation overhead. Finally, the book concludes with an examination of the likely direction of future research in this rapidly developing field. Readers will discover cutting-edge techniques for multi-agent coordination, including: An introduction to multi-agent coordination by reinforcement learning and evolutionary algorithms, including topics like the Nash equilibrium and correlated equilibrium Improving convergence speed of multi-agent Q-learning for cooperative task planning Consensus Q-learning for multi-agent cooperative planning The efficient computing of correlated equilibrium for cooperative q-learning based multi-agent planning A modified imperialist competitive algorithm for multi-agent stick-carrying applications Perfect for academics, engineers, and professionals who regularly work with multi-agent learning algorithms, Multi-Agent Coordination: A Reinforcement Learning Approach also belongs on the bookshelves of anyone with an advanced interest in machine learning and artificial intelligence as it applies to the field of cooperative or competitive robotics.

Learning Spaces

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Publisher :
ISBN 13 :
Total Pages : 454 pages
Book Rating : 4.3/5 (97 download)

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Book Synopsis Learning Spaces by : Diana Oblinger

Download or read book Learning Spaces written by Diana Oblinger and published by . This book was released on 2006 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: El espacio, ya sea físico o virtual, puede tener un impacto significativo en el aprendizaje. Learning Spaces se centra en la forma en que las expectativas de los alumnos influyen en dichos espacios, en los principios y actividades que facilitan el aprendizaje y en el papel de la tecnología desde la perspectiva de quienes crean los entornos de aprendizaje: profesores, tecnólogos del aprendizaje, bibliotecarios y administradores. La tecnología de la información ha aportado capacidades únicas a los espacios de aprendizaje, ya sea estimulando una mayor interacción mediante el uso de herramientas de colaboración, videoconferencias con expertos internacionales o abriendo mundos virtuales para la exploración. Este libro representa una exploración continua a medida que unimos el espacio, la tecnología y la pedagogía para asegurar el éxito de los estudiantes.

Multi-Agent Oriented Programming

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Publisher : MIT Press
ISBN 13 : 0262360667
Total Pages : 261 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Multi-Agent Oriented Programming by : Olivier Boissier

Download or read book Multi-Agent Oriented Programming written by Olivier Boissier and published by MIT Press. This book was released on 2020-09-15 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main concepts and techniques of multi-agent oriented programming, which supports the multi-agent systems paradigm at the programming level. A multi-agent system is an organized ensemble of autonomous, intelligent, goal-oriented entities called agents, communicating with each other and interacting within an environment. This book introduces the main concepts and techniques of multi-agent oriented programming, (MAOP) which supports the multi-agent systems paradigm at the programming level. MAOP provides a structured approach based on three integrated dimensions, which the book examines in detail: the agent dimension, used to design the individual (interacting) entities; the environment dimension, which allows the development of shared resources and connections to the real world; and the organization dimension, which structures the interactions among the autonomous agents and the shared environment.

Dive Into Deep Learning

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Publisher : Corwin Press
ISBN 13 : 1544385404
Total Pages : 297 pages
Book Rating : 4.5/5 (443 download)

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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.