Distributed Learning

This book PDF is perfect for those who love Education genre, written by Mary R. Lea and published by Routledge which was released on 08 October 2013 with total hardcover pages 257. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Distributed Learning books below.

Distributed Learning
Author : Mary R. Lea
File Size : 45,8 Mb
Publisher : Routledge
Language : English
Release Date : 08 October 2013
ISBN : 9781136452765
Pages : 257 pages
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Distributed Learning by Mary R. Lea Book PDF Summary

At a time of increasing globalisation, the concept of open and distance learning is being constantly redefined. New technologies have opened up new ways of understanding and participating in Learning. Distributed Learning offers a collection of perspectives from a social and cultural practice-based viewpoint, with contributions from leading international authors in the field. Key issues in this comprehensive text are: *the challenges of ICT to traditional teaching and learning practices *the value and relevance of 'activity theory' and 'communities of practice' in educational institutions and the workplace *perspectives on the relationship between globalisation and distributed learning, and the breakdown of distinctions between global and local contexts *issues of identity and community in designing courses for the virtual student *language and literacies in distributed learning contexts This book provides useful introductory reading, building a sound theoretical framework for practitioners interested in how distributed learning is shaping post-compulsory education.

Distributed Learning

At a time of increasing globalisation, the concept of open and distance learning is being constantly redefined. New technologies have opened up new ways of understanding and participating in Learning. Distributed Learning offers a collection of perspectives from a social and cultural practice-based viewpoint, with contributions from leading international authors

Get Book
Distributed Learning

The field of distributed learning is constantly evolving. Online technology provides instructors with the flexibility to offer meaningful instruction to students who are at a distance or in some cases right on campus, but still unable to be physically present in the classroom. This dynamic environment challenges librarians to monitor,

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Encyclopedia of Distributed Learning

In today's fast-paced world, with multiple demands on time and resources as well as pressures for career advancement and productivity, self-directed learning is an increasingly popular and practical alternative in continuing education. The Encyclopedia of Distributed Learning defines and applies the best practices of contemporary continuing education designed for adults

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Distributed Machine Learning Patterns

Practical patterns for scaling machine learning from your laptop to a distributed cluster. Distributing machine learning systems allow developers to handle extremely large datasets across multiple clusters, take advantage of automation tools, and benefit from hardware accelerations. This book reveals best practice techniques and insider tips for tackling the challenges

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Designing Distributed Learning Environments with Intelligent Software Agents

Designing Distributed Learning Environments with Intelligent Software Agents reports on the most recent advances in agent technologies for distributed learning. Chapters are devoted to the various aspects of intelligent software agents in distributed learning, including the methodological and technical issues on where and how intelligent agents can contribute to meeting

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Designing Distributed Learning Environments with Intelligent Software Agents

Designing Distributed Learning Environments with Intelligent Software Agents reports on the most recent advances in agent technologies for distributed learning. Chapters are devoted to the various aspects of intelligent software agents in distributed learning, including the methodological and technical issues on where and how intelligent agents can contribute to meeting

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Scaling Up Machine Learning

This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.

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Distributed Strategic Learning for Wireless Engineers

Although valued for its ability to allow teams to collaborate and foster coalitional behaviors among the participants, game theory’s application to networking systems is not without challenges. Distributed Strategic Learning for Wireless Engineers illuminates the promise of learning in dynamic games as a tool for analyzing network evolution and

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