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Author: ROBERT BRIAN. DILTS Publisher: ISBN: 9781947629110 Category : Languages : en Pages : 444
Book Description
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.
Author: ROBERT BRIAN. DILTS Publisher: ISBN: 9781947629110 Category : Languages : en Pages : 444
Book Description
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.
Author: Kulvarn Atwal Publisher: John Catt ISBN: 1398383945 Category : Education Languages : en Pages : 135
Book Description
A modern-day reflective guide to detail how school leaders can develop a unique and expansive learning environment for teachers. The book is a practical manual that includes examples of activities that can be promoted to develop informal and formal teacher learning activities. Atwal argues that in the very workplaces where the core business is 'learning', the quality of staff learning in schools is poor and underdeveloped - there is significant room for improvement. This book is essential reading for all those interested in driving improvement in education in schools and anyone who has cared about children's learning or teacher learning.
Author: Robert H. Hayes Publisher: Simon and Schuster ISBN: 0029142113 Category : Industries Languages : en Pages : 456
Book Description
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.
Author: Kasey Bell Publisher: ISBN: 9781946444691 Category : Creative teaching Languages : en Pages : 188
Book Description
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.
Author: Aldo Romano Publisher: Springer Science & Business Media ISBN: 1441902511 Category : Computers Languages : en Pages : 192
Book Description
Dynamic Learning Networks: Models and Cases in Action represents an attempt to provide a network perspective of organizational learning to drive dynamic competition through extended firm learning processes. This edited volume, contributed by worldwide experts in the field, provides academics and company managers with an extended view of organizational learning networks from real cases and different perspectives. Dynamic Learning Networks: Models and Cases in Action is based on the workshop, Managing Uncertainty and Competition through Dynamic Learning Networks. It was organized by the E-Business Management Section of Scuola Superiore ISUFI – University of Salento (Italy) – and held in Ostuni (Italy) in July 2008. Dynamic Learning Networks: Models and Cases in Action is designed for a professional audience, composed of researchers and practitioners working in corporate learning. This volume is also suitable for advanced-level students in computer science.
Author: Richard Lowe Publisher: Springer ISBN: 3319562045 Category : Education Languages : en Pages : 392
Book Description
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.
Author: Steven L. Brunton Publisher: Cambridge University Press ISBN: 1009098489 Category : Computers Languages : en Pages : 615
Book Description
A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Author: Lucian Busoniu Publisher: CRC Press ISBN: 1439821097 Category : Computers Languages : en Pages : 280
Book Description
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.
Author: Kasey Bell Publisher: ISBN: 9781735601823 Category : Education Languages : en Pages : 168
Book Description
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!
Author: ROBERT BRIAN. DILTS
Author: ROBERT BRIAN. DILTS
Author: Kulvarn Atwal
Author: Robert H. Hayes
Author: Kasey Bell
Author: Aldo Romano
Author: Richard Lowe
Author: Steven L. Brunton
Author: Phyllis Haddox
Author: Lucian Busoniu
Author: Kasey Bell