Networks For Learning
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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.
Networks For Learning
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Author : Chris Brown
language : en
Publisher: Routledge
Release Date : 2018
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 with Effective teaching categories.
Examining a multitude of perspectives, this accessible text will contain case studies and exemplars to contextualise sustainable learning networks and evaluate the challenges from theoretical and practical approaches. Written by a team of international contributors, this book will be essential reading for researchers, students and school leaders.
Learning Networks
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Author : Linda Marie Harasim
language : en
Publisher: MIT Press
Release Date : 1995
Learning Networks written by Linda Marie Harasim and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
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.
The Art Of Learning
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Author : Francis T.S. Yu
language : en
Publisher: CRC Press
Release Date : 2018-09-13
The Art Of Learning written by Francis T.S. Yu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-13 with Computers categories.
This book presents the idea that innovative ways of teaching and learning are very essential to retention and growth. Presented in 15 sections, the book starts with the common sense training on education and moves on to neural network operation. Throughout the book, the art of learning, associative, cognitive, and creative learning are stated and defined. Learning simplicity, information content as related to neural network learning are discussed. The author also discusses neural plasticity and adaptability in smarter neural networks. If we know our human brain’s basic abilities and limitation then a better educational methods can be implemented. Presents the idea that innovative ways of teaching and learning are very essential to retention and growth Discusses major differences and constraints between neural network and computer Presents the significances of learning simplicity and information content as related to neural network learning are included Stresses the neural network learning capabilities and limitations and their role in developing more efficient learning techniques
Managing In Networks
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Author : Timo Järvensivu
language : en
Publisher: BoD - Books on Demand
Release Date : 2020-03-17
Managing In Networks written by Timo Järvensivu and has been published by BoD - Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-17 with Political Science categories.
This book offers network managers perspetives and practical advice: What is the basis for vibrant networking? What kind of leadership is needed? What are the required tools and steps? This book is based on research and practical work with dozens of networks. D.Sc. (Econ.) Timo Järvensivu has studied and developed public service and non-profit network management for over 15 years, initially as a university researcher and currently as a full-time entrepreneur and trainer.
Learning Network Services For Professional Development
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Author : Rob Koper
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-07-07
Learning Network Services For Professional Development written by Rob Koper 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 2009-07-07 with Education categories.
A "Learning Network" is a community of people who help each other to better understand and handle certain events and concepts in work or life. As a result – and sometimes also as an aim – participating in learning networks stimulates personal development, a better understanding of concepts and events, career development, and employability. "Learning Network Services" are Web services that are designed to facilitate the creation of distributed Learning Networks and to support the participants with various functions for knowledge exchange, social interaction, assessment and competence development in an effective way. The book presents state-of-the-art insights into the field of Learning Networks and Web-based services which can facilitate all kinds of processes within these networks.
Network Science In Education
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Author : Catherine B. Cramer
language : en
Publisher: Springer
Release Date : 2018-10-22
Network Science In Education written by Catherine B. Cramer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-22 with Science categories.
Around the globe, there is an increasingly urgent need to provide opportunities for learners to embrace complexity; to develop the many skills and habits of mind that are relevant to today's complex and interconnected world; and to make learning more connected to our rapidly changing workplace and society. This presents an opportunity to (1) leverage new paradigms for understanding the structure and function of teaching and learning communities, and (2) to promote new approaches to developing methods, curricular materials, and resources. Network science - the study of connectivity - can play an important role in these activities, both as an important subject in teaching and learning and as a way to develop interconnected curricula. Since 2010, an international community of network science researchers and educators has come together to raise the global level of network literacy by applying ideas from network science to teaching and learning. Network Science in Education - which refers to both this community and to its activities - has evolved in response to the escalating activity in the field of network science and the need for people to be able to access the field through education channels. Network Science In Education: Transformational Approaches in Teaching and Learning appeals to both instructors and professionals, while offering case studies from a wide variety of activities that have been developed around the globe: the creation of entirely new courses and degree programs; tools for K-20 learners, teachers, and the general public; and in-depth analysis of selected programs. As network-based pedagogy and the community of practice continues to grow, we hope that the book's readers will join this vibrant network education community to build on these nascent ideas and help deepen the understanding of networks for all learners.
Network Learning For Educational Change
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Author : Veugelers, Wiel
language : en
Publisher: McGraw-Hill Education (UK)
Release Date : 2005-07-01
Network Learning For Educational Change written by Veugelers, Wiel 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 2005-07-01 with Education categories.
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Learning Networks
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Author : Linda Harasim
language : en
Publisher:
Release Date : 2001
Learning Networks written by Linda Harasim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.
Neural Networks And Deep Learning
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Author : Charu C. Aggarwal
language : en
Publisher: Springer
Release Date : 2018-08-25
Neural Networks And Deep Learning written by Charu C. Aggarwal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-25 with Computers categories.
This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems. Applications associated with many different areas like recommender systems, machine translation, image captioning, image classification, reinforcement-learning based gaming, and text analytics are covered. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. These methods are studied together with recent feature engineering methods like word2vec. Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 3 and 4. Chapters 5 and 6 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 7 and 8 discuss recurrent neural networks and convolutional neural networks. Several advanced topics like deep reinforcement learning, neural Turing machines, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 9 and 10. The book is written for graduate students, researchers, and practitioners. Numerous exercises are available along with a solution manual to aid in classroom teaching. Where possible, an application-centric view is highlighted in order to provide an understanding of the practical uses of each class of techniques.