Big Data and Learning Analytics in Higher Education: Current Theory and Practice
Produktdetails
| Artikelnummer | 237149587 | Erscheinungsdatum | 2026/07/10 | Listenpreis | €44.40 | Modellnummer | 237149587 | ||
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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. Read more
| ASIN | B01L53DLBU |
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| XRay | Not Enabled |
| ISBN13 | 978-3319065205 |
| Edition | 1st ed. 2017 |
| Language | English |
| File size | 6.8 MB |
| Page Flip | Enabled |
| Publisher | Springer |
| Word Wise | Enabled |
| Print length | 294 pages |
| Accessibility | Learn more |
| Screen Reader | Supported |
| Publication date | August 27, 2016 |
| Enhanced typesetting | Enabled |
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