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Big data and learning analytics in higher education Current theory and practice Ben Kei Daniel editor

Por: Kei Daniel, Ben editor.
Tipo de material: materialTypeLabelLibroEditor: Cham Springer 2017Descripción: 272 p. gráf. mapas, tablas.ISBN: 9783319065199; 9783319065205 (eBook).Tema(s): INFORMATICA | EDUCACION | COMPUTING | EDUCATIONResumen: 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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GENERAL 004:37 K271 J05435 (1) (Navegar estantería) Disponible J05435
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004.31 P591 J04092 (1) Computación de alto desempeño en GPU 004.31 P591 J04093 (2) Computación de alto desempeño en GPU 004:37 E217 J03801 Informática en la escuela 004:37 K271 J05435 (1) Big data and learning analytics in higher education 004.4 C618 J05048 (1) Clipper 5.01 004.4 CAD/CAM Sa599 J05136 (1) CAD-CAM 004.4 G343 J05007 (2) Conceptos de lenguajes de programación

Contents, author index, subject index

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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