Knowledge in Motion

Knowledge in Motion
Title Knowledge in Motion PDF eBook
Author Andrew P. Roddick
Publisher University of Arizona Press
Total Pages 328
Release 2016-04-07
Genre Social Science
ISBN 0816532605

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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.

Knowledge in Motion

Knowledge in Motion
Title Knowledge in Motion PDF eBook
Author Sabine Gehm
Publisher transcript Verlag
Total Pages 337
Release 2015-07-31
Genre Performing Arts
ISBN 3839408091

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In a globalised society, dance is gaining in importance as a means of conveying body knowledge: It is perceived as an art form in itself, is fostered and cultivated within the bounds of cultural and educational policy, and is increasingly becoming the subject of research. Dance is in motion all over the world, and with it the knowledge that it holds. But what does body knowledge in motion constitute, how is it produced, how can it be researched and conveyed? Renowned choreographers, dancers, theorists and pedagogues describe the unique potential of dance as an archive and medium as well as its significance at the interface between art and science. Contributors are, among others, Gabriele Brandstetter, Dieter Heitkamp, Royston Maldoom and Meg Stuart.

Knowledge in Motion

Knowledge in Motion
Title Knowledge in Motion PDF eBook
Author Jan Nespor
Publisher Psychology Press
Total Pages 178
Release 1994
Genre Business & Economics
ISBN 9780750702713

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Using an analysis of learning by a case study comparison of two undergraduate courses at a United States University, Nespor examines the way in which education and power merge in physics and management. Through this study of politics and practices of knowledge, he explains how students, once accepted on these courses, are facilitated on a path to power; physics and management being core disciplines in modern society. Taking strands from constructivist psychology, post-modern geography, actor-network theory and feminist sociology, this book develops a theoretical language for analysing the production and use of knowledge. He puts forward the idea that learning, usually viewed as a process of individual minds and groups in face-to-face interaction, is actually a process of activities organised across space and time and how organisations of space and time are produced in social practice.; Within this context educational courses are viewed as networks of a larger whole, and individual courses are points in the network which link a wider relationship by way of texts, tasks and social practices intersecting with them. The book shows how students enrolled on such courses automatically become part of a network of power and knowledge.

Knowledge in Motion

Knowledge in Motion
Title Knowledge in Motion PDF eBook
Author Andrew P. Roddick
Publisher University of Arizona Press
Total Pages 328
Release 2016-05-12
Genre Social Science
ISBN 0816533741

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Spirit mediums of East Africa. Healers and fishermen of the Amazon River Basin. Potters of the American Southwest. People contending with climate change long ago. All share “knowledge in motion,” a process of drawing on experiences past and present while engaging in daily practice in relation to contexts of time, place, and power. In the last twenty-five years, scholars from a number of disciplines have explored “situated learning,” specifically investigating how learning relates to social reproduction and daily life. In Knowledge in Motion, contributors focus on learning through time and at a variety of scales, particularly as they relate to power and politics, with implications for emergent communities and constellations of practice. This volume brings together archaeologists, historians, and cultural anthropologists to examine communities engaged in a range of learning practices around the globe, from Africa to the Americas. Contributors draw on the growing interdisciplinary scholarship on situated learning to explore those processes in relation to power and broader forces that shape knowledge during times of turbulent change. Enriching the diversity of regions and disciplines, Knowledge in Motion focuses on how learning, knowledge transmission, and the emergent qualities of communities and constellations of practice are shaped by changing spheres of interaction or other unstable events and influences. The contributions forge productive theories and methodologies for exploring situated learning and its broad-ranging outcomes.

The Physicist's World

The Physicist's World
Title The Physicist's World PDF eBook
Author Thomas Grissom
Publisher JHU Press
Total Pages 326
Release 2011-06-02
Genre Science
ISBN 1421400847

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Thomas Grissom explains what physics really is: the science of understanding how everything in the universe works. This book tells the unfolding story of our attempt to quantify the material world and to conceptualize the nature of physical laws.

Grokking Deep Learning

Grokking Deep Learning
Title Grokking Deep Learning PDF eBook
Author Andrew W. Trask
Publisher Simon and Schuster
Total Pages 475
Release 2019-01-23
Genre Computers
ISBN 163835720X

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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

Motion Leadership

Motion Leadership
Title Motion Leadership PDF eBook
Author Michael Fullan
Publisher Corwin Press
Total Pages 97
Release 2010
Genre Education
ISBN 141298131X

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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.