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

Author: Ben Kei Daniel
Publisher: [S. l.] : Springer, cop. 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 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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Document Type: Book
All Authors / Contributors: Ben Kei Daniel
ISBN: 9783319065199 331906519X 9783319065205 3319065203
OCLC Number: 1028600368
Description: XX, 272 str. : ilustr. ; 24 cm.
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.
Responsibility: editor Ben Kei Daniel.

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