Learning In Motion Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Learning In Motion book. This book definitely worth reading, it is an incredibly well-written.
Digital Learning in Motion provides a theoretical analysis of learning and related learning media in society. The book explores how changing media affects learning environments, which changes the learning itself, showing that learning is always in motion. This book expounds upon the concept of learning, reconstructing how learning unfolds and analyzing the discourse around pedagogy and Bildung in the age of new digital media. It further discusses in detail the threefold relationship between learning and motion, considering how learning is based on motion, generated by new experiences and changes with the environment and through its own mediatization. The book presents a normative model that outlines how learning can be structured on the basis of society’s values and self-understanding discourses in the digital age. This book will be of great interest for academics, postgraduate students, and researchers in the fields of digital learning and inclusion, education research, educational theory, communication and cultural studies.
Scientists have found that moving the body maximizes brainpower and that even simple movements can bring about improvement in a child's memory and concentration levels. This packet is a compilation of games that get students up and moving in the classroom; all of which can be adapted to current curriculum and used for most subject areas.
Learning in Motion by Patricia Angermeier,Joan Krzyzanowski,Kristina Keller Moir Pdf
As many as one in 20 children struggles with sensory issues. To address these needs in the classroom, sensory integration has become a staple in early education. This book is sure to be every teacher's bible of sensory activities.
Engage students in grade K while connecting physical activity, good health, and learning using Learning in Motion. Teach basic language arts and math skills with more than 40 activities that help students build physical and mental muscle. These age-appropriate activities cover reading, writing, speaking, listening, and math. The activities focus on concepts of print, syllables, rhyming words, vowels, sight words, capitalization, punctuation, following directions, counting, measurement, sorting, and patterns. These activities support NCTE and NCTM standards while developing flexibility, strength, and endurance. This 80-page book aligns with state, national, and Canadian provincial standards and includes a parent letter and instructions for creating easy-to-use, low-cost activity equipment.
Engage students in grade 1 while connecting physical activity, good health, and learning using Learning in Motion. Teach basic language arts and math skills with more than 40 activities that help students build physical and mental muscle. These age-appropriate activities cover reading, writing, speaking, listening, and math. The activities focus on concepts of print, syllables, rhyming words, long and short vowels, comprehension, main idea and details, capitalization, punctuation, nouns and verbs, descriptive language, skip counting, number lines, place value, time, and patterns. These activities support NCTE and NCTM standards while developing flexibility, strength, and endurance. This 80-page book aligns with state, national, and Canadian provincial standards and includes a parent letter and instructions for creating easy-to-use, low-cost activity equipment.
Engage students in grade 2 while connecting physical activity, good health, and learning using Learning in Motion. Teach basic language arts and math skills with more than 40 activities that help students build physical and mental muscle. These age-appropriate activities cover reading, writing, speaking, listening, and math. The activities focus on reference materials, long and short vowels, synonyms and antonyms, comprehension, adjectives and adverbs, following two-step directions, mental math, addition, subtraction, multiplication, estimates, time, volume, congruent shapes, symmetry, and probability. These activities support NCTE and NCTM standards while developing flexibility, strength, and endurance. This 80-page book aligns with state, national, and Canadian provincial standards and includes a parent letter and instructions for creating easy-to-use, low-cost activity equipment.
Author : Andrew P. Roddick,Ann B. Stahl Publisher : University of Arizona Press Page : 328 pages File Size : 53,8 Mb Release : 2016-04-07 Category : Social Science ISBN : 9780816532605
Knowledge in Motion by Andrew P. Roddick,Ann B. Stahl Pdf
Knowledge in Motion brings together archaeologists, historians, and cultural anthropologists to examine communities from around the globe as they engage in a range of practices constituting situated learned and knowledge transmission. The contributors lay the groundwork to forge productive theories and methodologies for exploring situated learning and its broad-ranging outcomes.
Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning. About the Book Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks. What's inside The science behind deep learning Building and training your own neural networks Privacy concepts, including federated learning Tips for continuing your pursuit of deep learning About the Reader For readers with high school-level math and intermediate programming skills. About the Author Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world's largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform. Table of Contents Introducing deep learning: why you should learn it Fundamental concepts: how do machines learn? Introduction to neural prediction: forward propagation Introduction to neural learning: gradient descent Learning multiple weights at a time: generalizing gradient descent Building your first deep neural network: introduction to backpropagation How to picture neural networks: in your head and on paper Learning signal and ignoring noise:introduction to regularization and batching Modeling probabilities and nonlinearities: activation functions Neural learning about edges and corners: intro to convolutional neural networks Neural networks that understand language: king - man + woman == ? Neural networks that write like Shakespeare: recurrent layers for variable-length data Introducing automatic optimization: let's build a deep learning framework Learning to write like Shakespeare: long short-term memory Deep learning on unseen data: introducing federated learning Where to go from here: a brief guide
Online-Learning in Humanoid Robots by Jörg Conradt Pdf
Inhaltsangabe:Abstract: Humanoid Robotic Systems have gained an increasing significance in the research world within the last few years. Just five years ago, there were hardly any human-like robots in the world, and those available did not represent human properties at all. They neither looked nor behaved like human beings. Today, a variety of research groups around the world is starting to work on topics related to humanoid robots, and it is very likely that these robots will become important within the upcoming decades even beyond the realm of science. Trying to determine what humanoid robots are, a first draft of a definition might read as follows: such robots are to be called humanoid robots which - to some extent - are able to live and interact with the everyday human world, and represent certain human features, like cognitive or acting abilities. The main strength of such humanoid robots lies in their ability to operate in surroundings that have been designed for humans in the first place. Humanoid robots can be imagined to become useful assistants for every-day life in areas as diverse as: - Rescue and clearing of dangerous situations. - Janitorial services, Housekeeping. - Security services. - Care-taking in hospitals, recreational facilities. - Entertainment. In all these fields, close human interaction is a core issue and can be regarded as the minimum common basis. The interaction happens on many different levels, from physical touch to gesture recognition and the processing of spoken language. On cognitive issues like the two last named, much research has been done in the past few years. One has, however, to keep in mind that also the physical appearance, e.g. smoothness of motions, is an important issue when designing humanoid robots. Inhaltsverzeichnis:Table of Contents: FOREWORD1 1.INTRODUCTION2 1.1INTRODUCING THE AREA OF HUMANOID ROBOTICS2 1.2MECHANICAL DESIGN FOR HUMANOID ROBOTS3 1.3CONTROLLING HUMANOID ROBOTS4 1.4EXAMPLES OF TODAY'S HUMANOID ROBOTS5 1.5THE PURPOSE OF THE THESIS9 2.A BRIEF RECAPITULATION OF BASIC ROBOT CONTROL10 2.1INTRODUCTION TO ROBOT CONTROL10 2.2CONTROLLING THE EXECUTION OF DESIRED TRAJECTORIES12 2.3THE FEEDBACK CONTROL FUNCTION14 2.4THE FEED-FORWARD CONTROL FUNCTION17 2.5ESTIMATING DYNAMICS USING RIGID BODY ASSUMPTIONS18 2.6RECAPITULATION22 2.7CONTROL OF HUMANOID ROBOTS23 3.INTRODUCTION TO ROBOT LEARNING25 3.1GENERAL REMARKS ON ROBOT LEARNING25 3.2THE BIAS / VARIANCE [...]
An eminent psychologist offers a major new theory of human cognition: movement, not language, is the foundation of thought When we try to think about how we think, we can't help but think of words. Indeed, some have called language the stuff of thought. But pictures are remembered far better than words, and describing faces, scenes, and events defies words. Anytime you take a shortcut or play chess or basketball or rearrange your furniture in your mind, you've done something remarkable: abstract thinking without words. In Mind in Motion, psychologist Barbara Tversky shows that spatial cognition isn't just a peripheral aspect of thought, but its very foundation, enabling us to draw meaning from our bodies and their actions in the world. Our actions in real space get turned into mental actions on thought, often spouting spontaneously from our bodies as gestures. Spatial thinking underlies creating and using maps, assembling furniture, devising football strategies, designing airports, understanding the flow of people, traffic, water, and ideas. Spatial thinking even underlies the structure and meaning of language: why we say we push ideas forward or tear them apart, why we're feeling up or have grown far apart. Like Thinking, Fast and Slow before it, Mind in Motion gives us a new way to think about how--and where--thinking takes place.
Drawing on years of experience helping children, the authors/occupational therapists offer a wealth of activities that enhance learning and behavior in the classroom by creating hundreds of sensory/motor activities that provide the essential foundation for learning in young children. The activities for children of all abilities are structured on a monthly basis, which provides a comprehensive resource for teachers, parents, and therapists.
Cycling from practice to theory and back again, this concise book provides the skinny on motion leadership, or how to “move” individuals, institutions, and whole systems forward.
Michael J. Kahana,Edmund J and Louise W Kahn Term Professor of Psychology Michael J Kahana,Anthony D. Wagner,Lucie Stern Professor of Psychology Anthony D Wagner
Author : Michael J. Kahana,Edmund J and Louise W Kahn Term Professor of Psychology Michael J Kahana,Anthony D. Wagner,Lucie Stern Professor of Psychology Anthony D Wagner Publisher : Oxford University Press Page : 2426 pages File Size : 44,9 Mb Release : 2024-04-26 Category : Psychology ISBN : 9780197746141
The Oxford Handbook of Human Memory, Two Volume Pack by Michael J. Kahana,Edmund J and Louise W Kahn Term Professor of Psychology Michael J Kahana,Anthony D. Wagner,Lucie Stern Professor of Psychology Anthony D Wagner Pdf
The Oxford Handbook of Human Memory provides an authoritative overview of the science of human memory, its application to clinical disorders, and its broader implications for learning and memory in real-world contexts. Organized into two volumes and eleven sections, the Handbook integrates behavioral, neural, and computational evidence with current theories of how we learn and remember. Overall, The Oxford Handbook of Human Memory documents the current state of knowledge in the field and provides a roadmap for the next generation of memory scientists, established peers, and practitioners.
Perceptual Learning by Barbara Dosher,Zhong-Lin Lu Pdf
A comprehensive and integrated introduction to the phenomena and theories of perceptual learning, focusing on the visual domain. Practice or training in perceptual tasks improves the quality of perceptual performance, often by a substantial amount. This improvement is called perceptual learning (in contrast to learning in the cognitive or motor domains), and it has become an active area of research of both theoretical and practical significance. This book offers a comprehensive introduction to the phenomena and theories of perceptual learning, focusing on the visual domain. Perceptual Learning explores the tradeoff between the competing goals of system stability and system adaptability, signal and noise, retuning and reweighting, and top-down versus bottom-down processes. It examines and evaluates existing research and potential future directions, including evidence from behavior, physiology, and brain imaging, and existing perceptual learning applications, with a focus on important theories and computational models. It also compares visual learning to learning in other perceptual domains, and considers the application of visual training methods in the development of perceptual expertise and education as well as in remediation for limiting visual conditions. It provides an integrated treatment of the subject for students and researchers and for practitioners who want to incorporate perceptual learning into their practice.Practice or training in perceptual tasks improves the quality of perceptual performance, often by a substantial amount. This improvement is called perceptual learning, in contrast with learning in the cognitive or motor domains. Perceptual learning has been a very active area of research of both theoretical and practical interest. Research on perceptual learning is of theoretical significance in illuminating plasticity in adult perceptual systems, and in understanding the limitations of human information processing and how to improve them. It is of practical significance as a potential method for the development of perceptual expertise in the normal population, for its potential in advancing development and supporting healthy aging, and for noninvasive amelioration of deficits in challenged populations by training. Perceptual learning has become an increasingly important topic in biomedical research. Practitioners in this area include science disciplines such as psychology, neuroscience, computer sciences, and optometry, and developers in applied areas of learning game design, cognitive development and aging, and military and biomedical applications. Commercial development of training products, protocols, and games is a multi-billion dollar industry. Perceptual learning provides the basis for many of the developments in these areas. This book is written for anyone who wants to understand the phenomena and theories of perceptual learning or to apply the technology of perceptual learning to the development of training methods and products. Our aim is to provide an introduction to those researchers and students just entering this exciting field, to provide a comprehensive and integrated treatment of the phenomena and the theories of perceptual learning for active perceptual learning researchers, and to describe and develop the basic techniques and principles for readers who want to successfully incorporate perceptual learning into applied developments. The book considers the special challenges of perceptual learning that balance the competing goals of system stability and system adaptability. It provides a systematic treatment of the major phenomena and models in perceptual learning, the determinants of successful learning and of specificity and transfer. The book provides a cohesive consideration of the broad range of perceptual learning through the theoretical framework of incremental learning of reweighting evidence that supports successful task performance. It provides a detailed analysis of the mechanisms by which perceptual learning improves perceptual limitations, the relationship of perceptual learning and the critical period of development, and the semi-supervised modes of learning that dominate perceptual learning. It considers limitations and constraints on learning multiple tasks and stimuli simultaneously, the implications of training at high or low levels of performance accuracy, and the importance of feedback to perceptual learning. The basis of perceptual learning in physiology is discussed along with the relationship of visual perceptual learning to learning in other sensory domains. The book considers the applications of perceptual learning in the development of expertise, in education and gaming, in training during development and aging, and applications to remediation of mental health and vision disorders. Finally, it applies the phenomena and models of perceptual learning to considerations of optimizing training.
Whether your employees are stuck behind a desk or having to sit through yet another meeting, chances are they are being kept from moving around the majority of the workday. This is resulting in restless bodies, wavering attention spans, and--based on the latest neuroscience research--decreased learning and productivity.Managers desiring to maximize their employees’ productivity and reach new levels of success for the company would be wise to not ignore the innate human desire for motion. Training in Motion explains how movement enhances learning and introduces a unique and highly effective way to energize a team and increase retention through simple body-focused techniques. In this one-of-a-kind book, learn how to:• Tie lessons to movement in order to reinforce concepts• Manage learners’ physical and emotional states to increase engagement and bolster memory• Use posture, physical gestures, and other movements to command interest• Employ quick physical breaks to efficiently refocus your team• Turn lackluster meetings into high-achieving learning environmentsComplete with practical, easy-to-apply activities, Training in Motion will help you add an almost universally untapped component to your training and managing methods that will provide your office environment the winning edge you’ve been searching for.
