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

By:

Kei Daniel, Ben

Publication details: Cham: Springer, 2017Description: 272ISBN:

9783319065199

Subject(s):

DDC classification:

371.33 KEI

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.

List(s) this item appears in: New Arrivals February 2025 - Engineering

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Book	Alliance College of Engineering and Design	General Books	371.33 KEI (Browse shelf(Opens below))	Not for loan		E15581

Total holds: 0

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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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