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Author: Julie A. Evans
Publisher: John Wiley & Sons
ISBN: 1119789826
Category : Education
Languages : en
Pages : 362
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Book Description
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.
Author: Julie A. Evans
Publisher: John Wiley & Sons
ISBN: 1119789826
Category : Education
Languages : en
Pages : 362
Get Book Here
Book Description
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.
Author: Léon de Caluwe
Publisher: SAGE Publications
ISBN: 1452262896
Category : Business & Economics
Languages : en
Pages : 341
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Book Description
"A good balance between theory and practice . . . it definitely fills a void in the [lack of] texts in the area and the change literature in general . . . a good fit for my graduate class on 'Managing Organizational Change.'" —Anthony F. Buono, McCallum Graduate School of Business, Bentley College "Like Gareth Morgan's Images of Organization, this book is a superb blend of theory and practicality. It demystifies chaos and paradox, and it encourages the understanding of organizational dynamics from multiple perspectives. It is refreshing to read a book that presents diverse theories and interventions so even-handedly." —Andrea Markowitz, Ph.D., President, OB&D, Inc. Learning to Change: A Guide for Organizational Change Agents provides a comprehensive overview of organizational change theories and practices developed by both U.S. and European change theorists. The authors compare and contrast five fundamentally different ways of thinking about change: yellow print thinking, blue print thinking, red print thinking, green print thinking and white print thinking. They also discuss in detail the steps change agents take, such as diagnosis, change strategy, the intervention plan, and interventions. In addition, they explore the attributes of a successful change agent and provide advice for career and professional development. The book includes case studies that describe multiple approaches to organizational change issues. This book will appeal to both the practitioner and academic audiences. It can be used as a text in graduate courses in change management and will also be a useful reference for consultants and managers. Features: Discusses the abilities, attitudes, and styles of successful change agents Describes five fundamentally different ways of thinking about change Presents a state-of-the-art overview of change management insights, methods, and instruments Summarizes an extensive amount of organizational change literature Supplies readers with useful insights and courses of action that will allow them to design and implement change professionally Learning to Change became a bestseller upon its initial publication in the Netherlands. The color-model on change is very popular among thousands of managers and change consultants and presents a new approach to change processes and a new language for change.
Author: Phil Winder Ph.D.
Publisher: "O'Reilly Media, Inc."
ISBN: 1492072346
Category : Computers
Languages : en
Pages : 517
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Book Description
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
Author: Richard S. Sutton
Publisher: MIT Press
ISBN: 0262352702
Category : Computers
Languages : en
Pages : 549
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Book Description
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.
Author: William J. Rothwell
Publisher: Amacom Books
ISBN: 9780814406748
Category : Business & Economics
Languages : en
Pages : 392
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Book Description
Emphasizing learning skills as a metacompetency in the changing workplace, Rothwell (human resource development, Pennsylvania State U.) debuts two research studies: one examined workplace learner roles and competencies, while the other gathered hundreds of workers' perceptions of the learning climate of diverse workplaces. Seeking to transform training into learning departments, he identifies learning process steps; learner roles, competencies, and outputs; and ways that organizational conditions encouraging learning can be reinforced by workplace learning and performance practitioners, managers, academicians, and workers. Appends a study summary, interviewee responses, and assessment instruments. AMACOM is a division of the American Management Association. Annotation copyrighted by Book News, Inc., Portland, OR
Author: Christiane Wood
Publisher: Taylor & Francis
ISBN: 1003815499
Category : Education
Languages : en
Pages : 431
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Book Description
This textbook offers a foundation for how literacy and arts integration interconnect to advance innovation, accessibility, and equitable classroom learning contexts for K-8 students. Balancing research-backed theory and classroom practice, this book helps readers understand the multiple perspectives, frameworks, and models necessary in the design of learning environments for diverse learners, including sociocultural theories of literacy, new and digital literacies, multiliteracies, culturally responsive pedagogy, critical pedagogy, and art. Written by an author team with decades of experience in teaching literacy, writing, and arts integration across a variety of learning environments, each chapter includes a basis of conceptual framing and research backed by functional case studies and practical classroom practices, as well as discussion questions. Written as a text for foundational literacy, arts integration, and education courses, Innovation, Literacy, and Arts Integration in Multicultural Classrooms offers an engaging, practical resource for both pre-service and in-service elementary and middle grade teachers and teacher educators.
Author: Sharon Mistretta
Publisher: BoD – Books on Demand
ISBN: 1837697302
Category : Computers
Languages : en
Pages : 412
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Book Description
Education stakeholders are at a crossroads where teaching and learning paths intersect with technologies fueled by emerging artificial intelligence. Educators who observe the residual effects of a global pandemic are left to wonder what creative technology solutions that sustain teaching and learning amidst mutating contagions should be retained, abandoned, or re-imagined to create sustainable pedagogy practices. In this book about e-learning, invited authors analyze the impacts of overarching issues facing educators across the globe to rethink how they deliver content and assess students' learning. A global community of scholars and researchers contributed twenty chapters to examine artificial intelligence, alternative assessments, education policy, creative technology, creative lesson plans, and emerging workforce trends to foster emerging paradigms in the post-pandemic era.
Author: Stewart Hase
Publisher: A&C Black
ISBN: 1441191488
Category : Education
Languages : en
Pages : 339
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Book Description
Heutagogy, or self-determined learning, redefines how we understand learning and provides some exciting opportunities for educators. It is a novel approach to educational practice, drawing on familiar concepts such as constructivism, capability, andragogy and complexity theory. Heutagogy is also supported by a substantial and growing body of neuroscience research. Self-Determined Learning explores how heutagogy was derived, and what this approach to learning involves, drawing on recent research and practical applications. The editors draw together contributions from educators and practitioners in different fields, illustrating how the approach can been used and the benefits its use has produced. The subjects discussed include: the nature of learning, heutagogy in the classroom, flexible curriculum, assessment, e-learning, reflective learning, action learning and research, and heutagogy in professional practice settings.
Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 384
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Book Description
Author: Ngoc Thanh Nguyen
Publisher: Springer Nature
ISBN: 3030630072
Category : Computers
Languages : en
Pages : 908
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Book Description
This volume constitutes the refereed proceedings of the 12th International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November 2020.* The 70 full papers presented were carefully reviewed and selected from 314 submissions. The papers are grouped in topical sections on: knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; applications of collective intelligence; data mining methods and applications; machine learning methods; deep learning and applications for industry 4.0; computer vision techniques; biosensors and biometric techniques; innovations in intelligent systems; natural language processing; low resource languages processing; computational collective intelligence and natural language processing; computational intelligence for multimedia understanding; and intelligent processing of multimedia in web systems. *The conference was held virtually due to the COVID-19 pandemic.
