|
|
|
|
LEADER |
02781nam a22004215i 4500 |
001 |
978-3-319-06520-5 |
003 |
DE-He213 |
005 |
20160827083428.0 |
007 |
cr nn 008mamaa |
008 |
160827s2017 gw | s |||| 0|eng d |
020 |
|
|
|a 9783319065205
|9 978-3-319-06520-5
|
024 |
7 |
|
|a 10.1007/978-3-319-06520-5
|2 doi
|
040 |
|
|
|d GrThAP
|
050 |
|
4 |
|a LC8-6691
|
072 |
|
7 |
|a YQT
|2 bicssc
|
072 |
|
7 |
|a EDU039000
|2 bisacsh
|
082 |
0 |
4 |
|a 371.33
|2 23
|
245 |
1 |
0 |
|a Big Data and Learning Analytics in Higher Education
|h [electronic resource] :
|b Current Theory and Practice /
|c edited by Ben Kei Daniel.
|
264 |
|
1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
|
300 |
|
|
|a XX, 272 p. 56 illus., 48 illus. in color.
|b online resource.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
505 |
0 |
|
|a Theory and Practice -- Global challenges in higher education -- Technological trends in higher education -- Data Science -- Big data in higher education -- Learning analytics -- Big Data Platforms and Systems -- Analytical platforms -- Systems -- Databases -- Tools -- Visualization -- Dashboards -- Measurement and Methodologies -- Measures, indicators, metrics -- Data mining techniques -- Data capture -- Data tracking -- Metadata -- Methodologies -- Institutional Best Practices -- Case studies/best practices -- Polyicy implication on learning, teaching, and research -- Challenges and opportunities -- Future Trends -- Lessons learned -- Future perspectives in big data -- Conclusions.
|
520 |
|
|
|a 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 .
|
650 |
|
0 |
|a Education.
|
650 |
|
0 |
|a Educational technology.
|
650 |
1 |
4 |
|a Education.
|
650 |
2 |
4 |
|a Educational Technology.
|
650 |
2 |
4 |
|a Learning & Instruction.
|
700 |
1 |
|
|a Kei Daniel, Ben.
|e editor.
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer eBooks
|
776 |
0 |
8 |
|i Printed edition:
|z 9783319065199
|
856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-06520-5
|z Full Text via HEAL-Link
|
912 |
|
|
|a ZDB-2-EDA
|
950 |
|
|
|a Education (Springer-41171)
|