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商品詳細
Big Data and Learning Analytics in Higher Education: Current Theory and Practice. Softcover reprint of the original 1st ed. 2017
・ISBN 978-3-319-79151-7 paper EUR 149.99
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| 著者・編者 | Kei Daniel, Ben (ed.), |
|---|---|
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2018 |
| ページ数 | 272 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A03-73158＞ |
解説
?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?.