Big data and learning analytics in higher education : current theory and practice / Ben Kei Daniel, editor.
2017
LB2326.3
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Online Access
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Unlimited
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Can lend chapters, not whole ebooks
Details
Title
Big data and learning analytics in higher education : current theory and practice / Ben Kei Daniel, editor.
ISBN
9783319065205 (electronic book)
3319065203 (electronic book)
9783319065199
331906519X
3319065203 (electronic book)
9783319065199
331906519X
Published
Switzerland : Springer, [2017].
Copyright
©2017
Language
English
Description
1 online resource.
Call Number
LB2326.3
Dewey Decimal Classification
378.0072
Summary
This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns.
Bibliography, etc. Note
Includes bibliographical references index.
Access Note
Access limited to authorized users.
Source of Description
Online resource, title from PDF title page (viewed on September 7, 2016).
Added Author
Daniel, Ben Kei, 1971- editor.
Available in Other Form
Big data and learning analytics in higher education.
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