Download or read book Dynamic Learning written by ROBERT BRIAN. DILTS and published by . This book was released on 2017-10-22 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic Learning is about a revolutionary new approach to learning and teaching. The authors present leading edge methods and techniques that improve the ability to learn in a variety of areas, offering stimulating exercises and step-by-step procedures that help you to make better use of the most valuable resource you have-your brain.
Download or read book Blended Learning with Google written by Kasey Bell and published by . This book was released on 2020-12-07 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Say goodbye to boring lectures and tired, one-and-done activities! In Blended Learning with Google, bestselling author and experienced educator Kasey Bell shows you how to use Google tools to design and support dynamic blended learning experiences whether you're teaching in-person, online classes, or both! With so much of life and learning happening online, we have to think differently about lessons and assignments. We can't rely on worksheets or one-and-done activities. They don't cut it anymore! To better serve our students, we must go beyond traditional methods-and beyond the walls of our classrooms. We need Dynamic Learning, and Google's powerful and easy-to-use suite of tools can help! Kasey Bell is your personal Google guide, but don't let the southern charm fool you. She packs this book with practical ideas and meaningful strategies that you can implement right away. Here is a peek at what you'll find in Blended Learning with Google A practical framework for meaningful Blended Learning Digital learning strategies for every classroom Google templates, lesson plans, pro tips, remote learning tips, and more! This book is not about Google; it's about how to use Google tools to support Dynamic Learning for your students every day! Shake Up Learning with Google tools to design Dynamic Blended Learning experiences in your classroom!
Download or read book Shake Up Learning written by Kasey Bell and published by . This book was released on 2018-03-05 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is the learning in your classroom static or dynamic? Shake Up Learning guides you through the process of creating dynamic learning opportunities-from purposeful planning and maximizing technology to fearless implementation.
Download or read book Dynamic Manufacturing written by Robert H. Hayes and published by Simon and Schuster. This book was released on 1988 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Writing for general managers, the authors go beyond manufacturing structural decisions to actually changing the infrastructure of a manufacturing company--the leadership and vision, the policies and practices that are vital to creating superior factories and a dynamic learning continuum.
Download or read book Teach Your Child to Read in 100 Easy Lessons written by Phyllis Haddox and published by Simon and Schuster. This book was released on 1986-06-15 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step program that shows parents, simply and clearly, how to teach their child to read in just 20 minutes a day.
Download or read book Reinforcement Learning and Dynamic Programming Using Function Approximators written by Lucian Busoniu and published by CRC Press. This book was released on 2017-07-28 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: From household appliances to applications in robotics, engineered systems involving complex dynamics can only be as effective as the algorithms that control them. While Dynamic Programming (DP) has provided researchers with a way to optimally solve decision and control problems involving complex dynamic systems, its practical value was limited by algorithms that lacked the capacity to scale up to realistic problems. However, in recent years, dramatic developments in Reinforcement Learning (RL), the model-free counterpart of DP, changed our understanding of what is possible. Those developments led to the creation of reliable methods that can be applied even when a mathematical model of the system is unavailable, allowing researchers to solve challenging control problems in engineering, as well as in a variety of other disciplines, including economics, medicine, and artificial intelligence. Reinforcement Learning and Dynamic Programming Using Function Approximators provides a comprehensive and unparalleled exploration of the field of RL and DP. With a focus on continuous-variable problems, this seminal text details essential developments that have substantially altered the field over the past decade. In its pages, pioneering experts provide a concise introduction to classical RL and DP, followed by an extensive presentation of the state-of-the-art and novel methods in RL and DP with approximation. Combining algorithm development with theoretical guarantees, they elaborate on their work with illustrative examples and insightful comparisons. Three individual chapters are dedicated to representative algorithms from each of the major classes of techniques: value iteration, policy iteration, and policy search. The features and performance of these algorithms are highlighted in extensive experimental studies on a range of control applications. The recent development of applications involving complex systems has led to a surge of interest in RL and DP methods and the subsequent need for a quality resource on the subject. For graduate students and others new to the field, this book offers a thorough introduction to both the basics and emerging methods. And for those researchers and practitioners working in the fields of optimal and adaptive control, machine learning, artificial intelligence, and operations research, this resource offers a combination of practical algorithms, theoretical analysis, and comprehensive examples that they will be able to adapt and apply to their own work. Access the authors' website at www.dcsc.tudelft.nl/rlbook/ for additional material, including computer code used in the studies and information concerning new developments.
Download or read book Learning from Dynamic Visualization written by Richard Lowe and published by Springer. This book was released on 2017-05-18 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume tackles issues arising from today’s high reliance on learning from visualizations in general and dynamic visualizations in particular at all levels of education. It reflects recent changes in educational practice through which text no longer occupies its traditionally dominant role as the prime means of presenting to-be-learned information to learners. Specifically, the book targets the dynamic visual components of multimedia educational resources and singles out how they can influence learning in their own right. It aims to help bridge the increasing gap between pervasive adoption of dynamic visualizations in educational practice and our limited understanding of the role that these representations can play in learning. The volume has recruited international leaders in the field to provide diverse perspectives on the dynamic visualizations and learning. It is the first comprehensive book on the topic that brings together contributions from both renowned researchers and expert practitioners. Rather than aiming to present a broad general overview of the field, it focuses on innovative work that is at the cutting edge. As well as further developing and complementing existing approaches, the contributions emphasize fresh ideas that may challenge existing orthodoxies and point towards future directions for the field. They seek to stimulate further new developments in the design and use of dynamic visualizations for learning as well as the rigorous, systematic investigation of their educational effectiveness.the volume="" sheds="" light="" on="" the="" complex="" and="" highly="" demanding="" processes="" of="" conceptualizing,="" developing="" implementing="" dynamic="" visualizations="" in="" practice="" as="" well="" challenges="" relating="" research="" application="" perspectives.
Download or read book Dynamic Learning Spaces in Education written by Veena Kapur and published by Springer. This book was released on 2018-08-14 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume discusses the need for a major paradigm shift in educational practice in the current digital and globalized world. It establishes a bridge between theory and praxis and revisits the objectives of learning and its modalities within the context of a rapidly evolving global world order. This volume includes perspectives from different countries on creating a dynamic and adaptive education system that encourages creativity, leadership, flexibility, and working in virtual as well as inclusive environments. The four sections include chapters that discuss creating meaningful learning environments, preparing teachers for new age classrooms, the digital learning space, fostering change in classrooms, and importantly also includes cases and experiments from schools. The authors are teacher educators, teachers and researchers, and each chapter, while being deeply rooted in theory, is juxtaposed with informed practice, making the suggestions easy to implement in different settings. This is an important resource for researchers and practitioners associated with education systems in creating engaging, meaningful and future-ready education practices.
Download or read book Culturally Responsive Teaching Online and In Person written by Stephanie Smith Budhai and published by Corwin Press. This book was released on 2022-02-05 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This resource explains how to merge the essential skills of embedding culturally responsive teaching practices into online and in person learning settings. The Dynamic Equitable Learning Environments (DELE) framework assists in building the knowledge, awareness, skills, and dispositions to pivot instruction to facilitate equitable, inclusive, and anti-racist learning experiences that transcend cultural, social, and linguistic backgrounds--regardless of student environments.
Download or read book The Thinking School written by Kulvarn Atwal and published by John Catt Educational. This book was released on 2019-02-07 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engagement in research and professional growth activities, the thinking school creates a collaborative culture that permeates the entire learning community.
Download or read book Never Stop Learning written by Bradley R. Staats and published by Harvard Business Press. This book was released on 2018-05-15 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keep learning, or risk becoming irrelevant. It's a truism in today's economy: the only constant is change. Technological automation is making jobs less routine and more cognitively challenging. Globalization means you're competing with workers around the world. Simultaneously, the internet and other communication technologies have radically increased the potential impact of individual knowledge.The relentless dynamism of these forces shaping our lives has created a new imperative: we must strive to become dynamic learners. In every industry and sector, dynamic learners outperform their peers and realize higher impact and fulfillment by learning continuously and by leveraging that learning to build yet more knowledge. In Never Stop Learning, behavioral scientist and operations expert Bradley R. Staats describes the principles and practices that comprise dynamic learning and outlines a framework to help you become more effective as a lifelong learner. The steps include: Valuing failure Focusing on process, not outcome, and on questions, not answers Making time for reflection Learning to be true to yourself by playing to your strengths Pairing specialization with variety Treating others as learning partners Replete with the most recent research about how we learn as well as engaging stories that show how real learning happens, Never Stop Learning will become the operating manual for leaders, managers, and anyone who wants to keep thriving in the new world of work.
Download or read book Motivational Dynamics in Language Learning written by Zoltán Dörnyei and published by Multilingual Matters. This book was released on 2014-10-01 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: This landmark volume offers a collection of conceptual papers and data-based research studies that investigate the dynamics of language learning motivation from a complex dynamic systems perspective. The chapters seek to answer the question of how we can understand motivation if we perceive it as a continuously changing and evolving entity rather than a fixed learner trait.
Download or read book Dynamic Police Training written by Ann R. Bumbak and published by CRC Press. This book was released on 2017-08-21 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: As police work has become increasingly professionalized, classrooms have become a preferred environment for training. However, the best preparation for police work has traditionally been conducted on the job. Dynamic Police Training partners the experienced law enforcement officer‘s "street-smart" perspective of what makes training work with a prof
Download or read book Unsupervised Learning written by Matthew Kyan and published by John Wiley & Sons. This book was released on 2014-05-02 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new approach to unsupervised learning Evolving technologies have brought about an explosion of information in recent years, but the question of how such information might be effectively harvested, archived, and analyzed remains a monumental challenge—for the processing of such information is often fraught with the need for conceptual interpretation: a relatively simple task for humans, yet an arduous one for computers. Inspired by the relative success of existing popular research on self-organizing neural networks for data clustering and feature extraction, Unsupervised Learning: A Dynamic Approach presents information within the family of generative, self-organizing maps, such as the self-organizing tree map (SOTM) and the more advanced self-organizing hierarchical variance map (SOHVM). It covers a series of pertinent, real-world applications with regard to the processing of multimedia data—from its role in generic image processing techniques, such as the automated modeling and removal of impulse noise in digital images, to problems in digital asset management and its various roles in feature extraction, visual enhancement, segmentation, and analysis of microbiological image data. Self-organization concepts and applications discussed include: Distance metrics for unsupervised clustering Synaptic self-amplification and competition Image retrieval Impulse noise removal Microbiological image analysis Unsupervised Learning: A Dynamic Approach introduces a new family of unsupervised algorithms that have a basis in self-organization, making it an invaluable resource for researchers, engineers, and scientists who want to create systems that effectively model oppressive volumes of data with little or no user intervention.
Download or read book Handbook of Learning and Approximate Dynamic Programming written by Jennie Si and published by John Wiley & Sons. This book was released on 2004-08-02 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete resource to Approximate Dynamic Programming (ADP), including on-line simulation code Provides a tutorial that readers can use to start implementing the learning algorithms provided in the book Includes ideas, directions, and recent results on current research issues and addresses applications where ADP has been successfully implemented The contributors are leading researchers in the field
Download or read book Learning for Adaptive and Reactive Robot Control written by Aude Billard and published by MIT Press. This book was released on 2022-02-08 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.
Download or read book Data Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
