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portada Big Data and Learning Analytics in Higher Education: Current Theory and Practice
Type
Physical Book
Publisher
Author
Language
English
Pages
272
Format
Hardcover
Dimensions
23.4x15.6x1.8 cm
Weight
0.59 kg.
ISBN13
9783319065199
Categories

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

Kei Daniel, Ben (Author) · Springer · Hardcover

Big Data and Learning Analytics in Higher Education: Current Theory and Practice - Kei Daniel, Ben

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Synopsis "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 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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The binding of this edition is Hardcover.

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