Networking The Learner
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Networks For Learning
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Author : Chris Brown
language : en
Publisher: Routledge
Release Date : 2018-01-02
Networks For Learning written by Chris Brown and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-02 with Education categories.
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.
Social Networking For Language Education
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Author : M. Lamy
language : en
Publisher: Springer
Release Date : 2013-10-15
Social Networking For Language Education written by M. Lamy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-15 with Education categories.
Social networking is now one of the ways in which anyone can set out to learn or improve their language skills. This collection brings together different sets of learning experiences and shows that success depends on the wider environment of the learner, the kind of activity the learner engages in and the type of learning priorities he or she has.
Networked Learning
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Author : Christopher Jones
language : en
Publisher: Springer
Release Date : 2015-05-18
Networked Learning written by Christopher Jones and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-18 with Education categories.
This book posits the idea that networked learning is the one new paradigm in learning theory that has resulted from the introduction of digital and networked technologies. It sets out, in a single volume, a critical review of the main ideas and then articulates the case for adopting a networked learning perspective in a variety of educational settings. This book fills a gap in the literature on networked learning. Although there are several edited volumes in the field there is no other monograph makes the academic case and provides the academic context for networked learning. This volume accomplishes three main goals. First, it assists researchers and practitioners in acquainting themselves with the field. Second, it provides resources for reference and guidance to those not well acquainted with the field. Finally and most powerfully, it also allows for the consolidation of a field that is truly multidisciplinary in a way that maintains coherence and consistency.
Explanation Based Neural Network Learning
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Author : Sebastian Thrun
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Explanation Based Neural Network Learning written by Sebastian Thrun and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
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.
Networking For Beginners
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Author : Russell Scott
language : en
Publisher:
Release Date : 2020-10-04
Networking For Beginners written by Russell Scott and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-04 with Computers categories.
Do you want to find out how a computer network works? Do you want to understand what it all takes to keep a home or office network up and running? This book is all you need! It will help you navigate your way to becoming proficient with network fundamentals and technology. When the first computers were built during the Second World War, they were expensive and isolated. However, after about twenty years, as their prices gradually decreased, the first experiments began to connect computers together. At the time, sharing them over a long distance was an interesting idea. Computers and the Internet have changed this world and our lifestyle forever. We just need to touch a small button and within a fraction of a second, we can make a call, send a file or video message. The major factor that lies behind this advanced technology is none other than computer network. That's why it's important to know how it works! Networking for Beginners covers the following topics: Networking Basics - This chapter considers the needs of a real beginner in computer networking and covers the following crucial topics: definition of computer networking, types of computer networks, network topologies, and network architecture. Network Hardware - A comprehensive discussion on different network components that include routers, hubs, switches, etc. Network Cabling - This chapter discusses the different cabling standards include coaxial, fiber optic cable and twisted-pair copper cable. Wireless Networking - Fundamental technicalities of wireless technology that is of great significance to the entire computer networking discipline. This chapter offers important information on how to enjoy the benefits of Wi-Fi technology and how to set up and configure a computer for wireless connectivity. IP Addressing - This chapter pays great attention to the basics of IP addressing, and the different number systems (binary, decimal, and hexadecimal) IP Subnetting - Introduction to concepts of subnetting. Network Protocols - Various protocols of the TCP/IP suite. Internet Essentials - Different terminologies regarding the Internet, the worldwide web, and history of the Internet. Virtualization in cloud computing - Concept of virtualization, its relevance in computer networking, and an examination of cloud services. Network Troubleshooting - This chapter considers troubleshooting as a top management function. NETWORKING FOR BEGINNERS is an easy-to-read book for anyone hungry for computer networking knowledge. The language used is simple, and even the very technical terms that pop from time to time have been explained in a way that is easy to understand.
Networking For Learning
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Author :
language : en
Publisher:
Release Date : 2013
Networking For Learning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Ebook Network Learning For Educational Change
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Author : Wiel Veugelers
language : en
Publisher: McGraw-Hill Education (UK)
Release Date : 2005-07-16
Ebook Network Learning For Educational Change written by Wiel Veugelers and has been published by McGraw-Hill Education (UK) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-16 with Education categories.
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.
Networks And Learning
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Author : Jurjen Johannes Antonie Kamphorst
language : en
Publisher: Rozenberg Publishers
Release Date : 2005
Networks And Learning written by Jurjen Johannes Antonie Kamphorst and has been published by Rozenberg Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Bayesian Networks For Managing Learner Models In Adaptive Hypermedia Systems Emerging Research And Opportunities
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Author : Tadlaoui, Mouenis Anouar
language : en
Publisher: IGI Global
Release Date : 2018-11-16
Bayesian Networks For Managing Learner Models In Adaptive Hypermedia Systems Emerging Research And Opportunities written by Tadlaoui, Mouenis Anouar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-16 with Education categories.
Teachers use e-learning systems to develop course notes and web-based activities to communicate with learners on one side and monitor and classify their progress on the other. Learners use it for learning, communication, and collaboration. Adaptive e-learning systems often employ learner models, and the behavior of an adaptive system varies depending on the data from the learner model and the learner's profile. Without knowing anything about the learner who uses the system, a system would behave in exactly the same way for all learners. Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems: Emerging Research and Opportunities is a collection of research on the use of Bayesian networks and methods as a probabilistic formalism for the management of the learner model in adaptive hypermedia. It specifically discusses comparative studies, transformation rules, and case diagrams that support all phases of the learner model and the use of Bayesian networks and multi-entity Bayesian networks to manage dynamic aspects of this model. While highlighting topics such as developing the learner model, learning management systems, and modeling techniques, this book is ideally designed for instructional designers, course administrators, educators, researchers, and professionals.
Machine Learning In Complex Networks
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Author : Thiago Christiano Silva
language : en
Publisher: Springer
Release Date : 2016-01-28
Machine Learning In Complex Networks written by Thiago Christiano Silva and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-28 with Computers categories.
This book presents the features and advantages offered by complex networks in the machine learning domain. In the first part, an overview on complex networks and network-based machine learning is presented, offering necessary background material. In the second part, we describe in details some specific techniques based on complex networks for supervised, non-supervised, and semi-supervised learning. Particularly, a stochastic particle competition technique for both non-supervised and semi-supervised learning using a stochastic nonlinear dynamical system is described in details. Moreover, an analytical analysis is supplied, which enables one to predict the behavior of the proposed technique. In addition, data reliability issues are explored in semi-supervised learning. Such matter has practical importance and is not often found in the literature. With the goal of validating these techniques for solving real problems, simulations on broadly accepted databases are conducted. Still in this book, we present a hybrid supervised classification technique that combines both low and high orders of learning. The low level term can be implemented by any classification technique, while the high level term is realized by the extraction of features of the underlying network constructed from the input data. Thus, the former classifies the test instances by their physical features, while the latter measures the compliance of the test instances with the pattern formation of the data. We show that the high level technique can realize classification according to the semantic meaning of the data. This book intends to combine two widely studied research areas, machine learning and complex networks, which in turn will generate broad interests to scientific community, mainly to computer science and engineering areas.