Big Data and Learning Analytics in Higher Education Current Theory and Practice /

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 r...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Kei Daniel, Ben (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Subjects:
Online Access:Full Text via HEAL-Link
Description
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 .
Physical Description:XX, 272 p. 56 illus., 48 illus. in color. online resource.
ISBN:9783319065205