Networks for Learning

Networks for Learning PDF Author: Chris Brown
Publisher: Routledge
ISBN: 1351996975
Category : Education
Languages : en
Pages : 286

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Book Description
Educational researchers, policy-makers and practitioners are increasingly focusing their attention on Professional Learning Networks in order to facilitate teacher development and encourage school and school system improvement. However, despite the understanding that PLNs can contribute significantly to improving teaching practice and student achievement, there are key challenges regarding their use. These challenges include: ensuring PLNs can provide opportunities for generating and sharing knowledge within schools enabling teachers and professionals to direct their own development helping individuals change their practices through inquiry-led approaches facilitating partnerships which work across a variety of stakeholders In this new edited volume, Brown and Poortman evaluate these challenges from both a theoretical and practical approach. A multitude of perspectives from a team of international contributors covers: the importance of Professional Learning Networks the use of evidence within PLNs the impact of inter-school networks international cases of networks and communities the promotion and sustainability of PLNs Also featuring case studies and exemplars to contextualise sustainable learning networks, Networks For Learning is an accessible and thoroughly-researched book, which will be essential reading and a valuable resource for researchers, teachers and school leaders who are interested in developing professional learning networks.

Networks for Learning

Networks for Learning PDF Author: Chris Brown
Publisher: Routledge
ISBN: 1351996975
Category : Education
Languages : en
Pages : 286

Get Book Here

Book Description
Educational researchers, policy-makers and practitioners are increasingly focusing their attention on Professional Learning Networks in order to facilitate teacher development and encourage school and school system improvement. However, despite the understanding that PLNs can contribute significantly to improving teaching practice and student achievement, there are key challenges regarding their use. These challenges include: ensuring PLNs can provide opportunities for generating and sharing knowledge within schools enabling teachers and professionals to direct their own development helping individuals change their practices through inquiry-led approaches facilitating partnerships which work across a variety of stakeholders In this new edited volume, Brown and Poortman evaluate these challenges from both a theoretical and practical approach. A multitude of perspectives from a team of international contributors covers: the importance of Professional Learning Networks the use of evidence within PLNs the impact of inter-school networks international cases of networks and communities the promotion and sustainability of PLNs Also featuring case studies and exemplars to contextualise sustainable learning networks, Networks For Learning is an accessible and thoroughly-researched book, which will be essential reading and a valuable resource for researchers, teachers and school leaders who are interested in developing professional learning networks.

Learning Networks

Learning Networks PDF Author: Linda Marie Harasim
Publisher: MIT Press
ISBN: 9780262082365
Category : Computers
Languages : en
Pages : 366

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Book Description
The field; Learning networks: an introduction; Networks for schools: exemplars and experiences; Networks for higher education, training, and informal learning: exemplares and experiences; The guide; Designs for learning networks; Getting started: the implementation process; Teaching online; Learning online; Problems in paradise: expect the best, prepare for the worst; The future; New directions; Network learning: a paradign for the twenty-first century; Epilogue: email from the future; Appendixes; Indice.

Teaching Machines

Teaching Machines PDF Author: Audrey Watters
Publisher: MIT Press
ISBN: 026254606X
Category : Education
Languages : en
Pages : 325

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Book Description
How ed tech was born: Twentieth-century teaching machines--from Sidney Pressey's mechanized test-giver to B. F. Skinner's behaviorist bell-ringing box. Contrary to popular belief, ed tech did not begin with videos on the internet. The idea of technology that would allow students to "go at their own pace" did not originate in Silicon Valley. In Teaching Machines, education writer Audrey Watters offers a lively history of predigital educational technology, from Sidney Pressey's mechanized positive-reinforcement provider to B. F. Skinner's behaviorist bell-ringing box. Watters shows that these machines and the pedagogy that accompanied them sprang from ideas--bite-sized content, individualized instruction--that had legs and were later picked up by textbook publishers and early advocates for computerized learning. Watters pays particular attention to the role of the media--newspapers, magazines, television, and film--in shaping people's perceptions of teaching machines as well as the psychological theories underpinning them. She considers these machines in the context of education reform, the political reverberations of Sputnik, and the rise of the testing and textbook industries. She chronicles Skinner's attempts to bring his teaching machines to market, culminating in the famous behaviorist's efforts to launch Didak 101, the "pre-verbal" machine that taught spelling. (Alternate names proposed by Skinner include "Autodidak," "Instructomat," and "Autostructor.") Telling these somewhat cautionary tales, Watters challenges what she calls "the teleology of ed tech"--the idea that not only is computerized education inevitable, but technological progress is the sole driver of events.

EBOOK: Network Learning for Educational Change

EBOOK: Network Learning for Educational Change PDF Author: Wiel Veugelers
Publisher: McGraw-Hill Education (UK)
ISBN: 0335228178
Category : Education
Languages : en
Pages : 250

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Book Description
How do networks create educational change and improve student achievement? What kinds of educational policies and practices facilitate network learning? Networks bring teachers, principals and other stakeholders together to share ideas, observe best practices, identify and analyze problems, and develop strategies for improved teaching, learning, and community life. These networks are becoming an important method to enhance educational renewal and student achievement. Networks go beyond tensions of top-down vs. bottom-up, school development and formal and informal organizational structures. The theoretical base of networking makes use of many different concepts of educational change theory, such as educational change processes, empowering of teachers, professional development, communities of practice, the network society and democratic education. The first part of the book features studies of four ‘established’ networks who have been functioning for several years. These networks describe their accomplishments, challenges, goals, and the theoretical basis of their work. In the second part of the book, three recently developed networks share their ‘start-up’ experiences and lessons learned. The book concludes by looking at networking as a strategy for educational change. Key reading for Education students, educational consultants and teacher educators with an interest in educational leadership and educational change. Contributors: Lew Allen,Linda Atkinson, Tero Autio, Randy Averso, Jean Cate, Dennis W. K. Chan, Chris Day, Victor Forrester, Gregg Garn, Dennis Gentry, Jesse Goodman, Mark Hadfield, Barbara Harold, Frances Hensley, Elaine Jarchow, Gaetane Jean-Marie, Tracey McAskill, Robin McGrew-Zoubi, Mary John O’Hair, Ulrich C. Reitzug, Eero Ropo, Joan Rué, Wiel Veugelers, Ian Walker, William Y. Wu, Henk Zijlstra.

Strategies for Urban Network Learning

Strategies for Urban Network Learning PDF Author: Leon van den Dool
Publisher: Springer Nature
ISBN: 3030360482
Category : Political Science
Languages : en
Pages : 370

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Book Description
This book presents international experiences in urban network learning. It is vital for cities to learn as it is necessary to constantly adapt and improve public performance and address complex challenges in a constantly changing environment. It is therefore highly relevant to gain more insight into how cities can learn. Cities address problems and challenges in networks of co-operation between existing and new actors, such as state actors, market players and civil society. This book presents various learning environments and methods for urban network learning, and aims to learn from experiences across the globe. How does learning take place in these urban networks? What factors and situations help or hinder these learning practices? Can we move from intuition to a strategy to improve urban network learning?

Explanation-Based Neural Network Learning

Explanation-Based Neural Network Learning PDF Author: Sebastian Thrun
Publisher: Springer Science & Business Media
ISBN: 1461313813
Category : Computers
Languages : en
Pages : 274

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Book Description
Lifelong learning addresses situations in which a learner faces a series of different learning tasks providing the opportunity for synergy among them. Explanation-based neural network learning (EBNN) is a machine learning algorithm that transfers knowledge across multiple learning tasks. When faced with a new learning task, EBNN exploits domain knowledge accumulated in previous learning tasks to guide generalization in the new one. As a result, EBNN generalizes more accurately from less data than comparable methods. Explanation-Based Neural Network Learning: A Lifelong Learning Approach describes the basic EBNN paradigm and investigates it in the context of supervised learning, reinforcement learning, robotics, and chess. `The paradigm of lifelong learning - using earlier learned knowledge to improve subsequent learning - is a promising direction for a new generation of machine learning algorithms. Given the need for more accurate learning methods, it is difficult to imagine a future for machine learning that does not include this paradigm.' From the Foreword by Tom M. Mitchell.

Spiking Neural Network Learning, Benchmarking, Programming and Executing

Spiking Neural Network Learning, Benchmarking, Programming and Executing PDF Author: Guoqi Li
Publisher: Frontiers Media SA
ISBN: 2889637670
Category :
Languages : en
Pages : 234

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Book Description


Neural Network Learning and Expert Systems

Neural Network Learning and Expert Systems PDF Author: Stephen I. Gallant
Publisher: MIT Press
ISBN: 9780262071451
Category : Computers
Languages : en
Pages : 392

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Book Description
presents a unified and in-depth development of neural network learning algorithms and neural network expert systems

Knowledge Networks

Knowledge Networks PDF Author: Denise Bedford
Publisher: Emerald Group Publishing
ISBN: 1839829486
Category : Business & Economics
Languages : en
Pages : 316

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Book Description
Knowledge Networks describes the role of networks in the knowledge economy, explains network structures and behaviors, walks the reader through the design and setup of knowledge network analyses, and offers a step by step methodology for conducting a knowledge network analysis.

Exploring Neural Networks with C#

Exploring Neural Networks with C# PDF Author: Ryszard Tadeusiewicz
Publisher: CRC Press
ISBN: 1498760376
Category : Computers
Languages : en
Pages : 302

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Book Description
The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations making them especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical.Exploring Neural Networks with C# presents the important properties of neural networks