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Big data and learning analytics in h...

Kei Daniel, Ben.

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Big data and learning analytics in higher education = current theory and practice /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Big data and learning analytics in higher education/ edited by Ben Kei Daniel.
其他題名:	current theory and practice /
其他作者:	Kei Daniel, Ben.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xx, 272 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Big data. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-06520-5
ISBN:	9783319065205

Big data and learning analytics in higher education = current theory and practice /
Big data and learning analytics in higher educationcurrent theory and practice /[electronic resource] :edited by Ben Kei Daniel. - Cham :Springer International Publishing :2017. - xx, 272 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9783319065205

Standard No.: 10.1007/978-3-319-06520-5doiSubjects--Topical Terms:

2045508
Big data.

LC Class. No.: LB2326.3

Dewey Class. No.: 378.0072

Big data and learning analytics in higher education = current theory and practice /
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