Big Data and Learning Analytics in Higher Education
Current Theory and Practice
Nonfiction, Reference & Language, Education & Teaching, Teaching, Computers & Technology, Educational Theory, Educational Psychology
| Author: | ISBN: | 9783319065205 | |
| Publisher: | Springer International Publishing | Publication: | August 27, 2016 |
| Imprint: | Springer | Language: | English |
| Author: | |
| ISBN: | 9783319065205 |
| Publisher: | Springer International Publishing |
| Publication: | August 27, 2016 |
| Imprint: | Springer |
| Language: | English |
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.
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.
