Mobility, Data and Learner Agency in Networked Learning (Hardcover, 1st ed. 2020)


The chapters in this book are based on selected peer reviewed research papers presented at the 11th biennial Networked Learning Conference (NLC) 2018 held in Zagreb and were chosen as exemplars of cutting edge research on networked learning. The chapters are organized into three main sections: 1) Aspects of mobility for Networked Learning in a global world, 2) Use and misuse of algorithms and learning analytics, 3) Understanding and empowering learners. The three main sections are flanked by chapters which introduce and reflect on Networked Learning as epistemic practice. The concluding chapter draws out perspectives from the chapters and discusses emerging issues. The book focuses on the nature of learning and interactions as an important characteristic sought out by researchers and practitioners in this field.

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Product Description

The chapters in this book are based on selected peer reviewed research papers presented at the 11th biennial Networked Learning Conference (NLC) 2018 held in Zagreb and were chosen as exemplars of cutting edge research on networked learning. The chapters are organized into three main sections: 1) Aspects of mobility for Networked Learning in a global world, 2) Use and misuse of algorithms and learning analytics, 3) Understanding and empowering learners. The three main sections are flanked by chapters which introduce and reflect on Networked Learning as epistemic practice. The concluding chapter draws out perspectives from the chapters and discusses emerging issues. The book focuses on the nature of learning and interactions as an important characteristic sought out by researchers and practitioners in this field.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Research in Networked Learning

Release date

April 2020

Availability

Expected to ship within 10 - 15 working days

First published

2020

Editors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

223

Edition

1st ed. 2020

ISBN-13

978-3-03-036910-1

Barcode

9783030369101

Categories

LSN

3-03-036910-2



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