Big Data and Learning Analytics in Higher Education

Current Theory and Practice

Nonfiction, Reference & Language, Education & Teaching, Teaching, Computers & Technology, Educational Theory, Educational Psychology
Cover of the book Big Data and Learning Analytics in Higher Education by , Springer International Publishing
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Author: ISBN: 9783319065205
Publisher: Springer International Publishing Publication: August 27, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319065205
Publisher: Springer International Publishing
Publication: August 27, 2016
Imprint: Springer
Language: English

​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​.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

​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​.

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