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Open Data for Education - Linked, Shared, and Reusable Data for Teaching and Learning (Paperback, 1st ed. 2016) Loot Price: R1,521
Discovery Miles 15 210
Open Data for Education - Linked, Shared, and Reusable Data for Teaching and Learning (Paperback, 1st ed. 2016): Dmitry...

Open Data for Education - Linked, Shared, and Reusable Data for Teaching and Learning (Paperback, 1st ed. 2016)

Dmitry Mouromtsev, Mathieu D'Aquin

Series: Lecture Notes in Computer Science, 9500

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Loot Price R1,521 Discovery Miles 15 210 | Repayment Terms: R143 pm x 12*

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This volume comprises a collection of papers presented at an Open Data in Education Seminar and the LILE workshops during 2014-2015. In the first part of the book, two chapters give different perspectives on the current use of linked and open data in education, including the use of technology and the topics that are being covered. The second part of the book focuses on the specific, practical applications that are being put in place to exploit open and linked data in education today. The goal of this book is to provide a snapshot of current activities, and to share and disseminate the growing collective experience on open and linked data in education. This volume brings together research results, studies, and practical endeavors from initiatives spread across several countries around the world. These initiatives are laying the foundations of open and linked data in the education movement and leading the way through innovative applications.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 9500
Release date: March 2016
First published: 2016
Editors: Dmitry Mouromtsev • Mathieu D'Aquin
Dimensions: 235 x 155 x 11mm (L x W x T)
Format: Paperback
Pages: 189
Edition: 1st ed. 2016
ISBN-13: 978-3-319-30492-2
Categories: Books > Social sciences > Education > Educational resources & technology > General
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-319-30492-5
Barcode: 9783319304922

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