Big data and learning analytics in higher education Current theory and practice Ben Kei Daniel editor
Por: Kei Daniel, Ben editor.
Tipo de material: LibroEditor: 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.Tipo de ítem | Ubicación actual | Biblioteca de origen | Colección | Signatura | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
---|---|---|---|---|---|---|---|---|
Libros | Biblioteca Silvina Ocampo (Junín) | Biblioteca Silvina Ocampo (Junín) | GENERAL | 004:37 K271 J05435 (1) (Navegar estantería) | Disponible | J05435 |
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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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