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Big data and learning analytics in higher education current theory and practice.

Author: Ben Kei Daniel
Publisher: [S.l.] Springer 2017.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"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  Read more...
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Details

Document Type: Book
All Authors / Contributors: Ben Kei Daniel
ISBN: 331906519X 9783319065199
OCLC Number: 987089946
Notes: Met ref., index.
Description: XX, 272 p. fig., tab.
Contents: 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.

Abstract:

This book focuses on the uses of big data in the context of higher education. The value of big data is the ability to identify useful data and turn it into useable information by identifying  Read more...

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