Big Data and Learning Analytics in Higher Education

Beschreibung

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.
Examines big data and learning analytics and their current state in higher education Reports on the diversity of tools and methods associated with learning analytics ? Explores new and emerging technologies that facilitate real-time analysis of large data ?sets Includes supplementary material: sn.pub/extras

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Ben Kei Daniel

Themen in »Big Data and Learning Analytics in Higher Education«

Data on Students, Teaching, Learning, and Research Data-Driven Decision Making Database Technologies Improving the Quality and Value of Higher Learning Patterns in Educational Technology Technology in Higher Education learning and instruction

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