Big Data and Learning Analytics in Higher Education : Current Theory and Practice

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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 .
His current research is focused generally on exploring the value of Big Data and learning analytics in influencing learning, teaching and research in the context of higher education. He is also investigating theories and praxis of teaching research methodologies in Higher Education and the corporate sector.
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FILESIZE 4,39 MB
AUTHOR Ben Kei Daniel
FILENAME Big Data and Learning Analytics in Higher Education : Current Theory and Practice.pdf
PUBLISH DATE 21 Apr 2018
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Big Data and Learning Analytics in Higher Education: Current ...

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 ...

Big Data and Learning Analytics in Higher Education: Current ...

Additional resources for Big Data and Learning Analytics in Higher Education: Current Theory and Practice Sample text Being accountable for student success, higher education institutions that analyze and create new interventions and actions based on data analytics in their contexts may enhance their institutional effectiveness.

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