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Big Data and Learning Analytics in Higher Education

Current Theory and Practice

Editors: Kei Daniel, Ben (Ed.)

  • ​​​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
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Buy this book

eBook $79.99
price for USA (gross)
  • ISBN 978-3-319-06520-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $99.99
price for USA
  • ISBN 978-3-319-06519-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

​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​.

About the authors

Dr Ben Daniel is a Senior Lecturer in Higher Education, and heads the Educational Technology Group at the University of Otago—New Zealand. In 2007 he completed his Ph.D. jointly in Computer Science and Educational Technology at the University of Saskatchewan in Canada. 

Previously, Dr Daniel was a Lecturer and a Senior Health Research and Innovation Analyst with the Office of Associate Vice President Research-Health (University of Saskatchewan)/Vice President Research and Innovation (Saskatoon Health Region)—Saskatoon, Canada. For over a decade Dr Daniel taught undergraduate, postgraduate students, academic staff, and Senior Corporate Executives on Research Methodologies; Program Evaluation and Logic Modelling; Quality Improvement, Statistics and Biostatistics as well as Advanced Learning Technologies. 

An active researcher, Dr Daniel has published over 50 peer-reviewed publications (2 edited books, 2 authored book, 13 book chapters, 10 peer-reviewed journal articles, 26 peer-reviewed conference papers, 10 peer-reviewed workshops and posters, and over 10 technical reports).  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.

 

Table of contents (15 chapters)

  • Overview of Big Data and Analytics in Higher Education

    Daniel, Ben Kei

    Pages 1-4

  • Thoughts on Recent Trends and Future Research Perspectives in Big Data and Analytics in Higher Education

    Liebowitz, Jay

    Pages 7-17

  • Big Data in Higher Education: The Big Picture

    Daniel, Ben K.

    Pages 19-28

  • Preparing the Next Generation of Education Researchers for Big Data in Higher Education

    Gibson, David C. (et al.)

    Pages 29-42

  • Managing the Embedded Digital Ecosystems (EDE) Using Big Data Paradigm

    Nimmagadda, Shastri L. (et al.)

    Pages 43-72

Buy this book

eBook $79.99
price for USA (gross)
  • ISBN 978-3-319-06520-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $99.99
price for USA
  • ISBN 978-3-319-06519-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Big Data and Learning Analytics in Higher Education
Book Subtitle
Current Theory and Practice
Editors
  • Ben Kei Daniel
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-06520-5
DOI
10.1007/978-3-319-06520-5
Hardcover ISBN
978-3-319-06519-9
Edition Number
1
Number of Pages
XX, 272
Number of Illustrations and Tables
8 b/w illustrations, 48 illustrations in colour
Topics