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© 2017

Big Data and Learning Analytics in Higher Education

Current Theory and Practice

  • Ben Kei Daniel

Benefits

  • 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

Book

Table of contents

  1. Front Matter
    Pages i-xx
  2. BIG DATA

  3. LEARNING ANALYTICS

    1. Front Matter
      Pages 87-87
    2. Colin Pinnell, Geetha Paulmani, Vivekanandan Kumar, Kinshuk
      Pages 125-145
    3. Bart Rienties, Simon Cross, Zdenek Zdrahal
      Pages 147-166
    4. Ángel Hernández-García, Ignacio Suárez-Navas
      Pages 167-194
    5. Mohamed Amine Chatti, Arham Muslim, Ulrik Schroeder
      Pages 195-219
    6. Denise Nadasen, Alexandra List
      Pages 221-236
    7. Diego Zapata-Rivera, Lei Liu, Lei Chen, Jiangang Hao, Alina A. von Davier
      Pages 237-252
    8. Vivek Perumal, Ben Daniel, Russell Butson
      Pages 253-263
  4. Back Matter
    Pages 265-272

About this book

Introduction

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​.

Keywords

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

Editors and affiliations

  • Ben Kei Daniel
    • 1
  1. 1.University of OtagoDunedinNew Zealand

About the editors

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.

 

Bibliographic information

  • Book Title Big Data and Learning Analytics in Higher Education
  • Book Subtitle Current Theory and Practice
  • Editors Ben Kei Daniel
  • DOI https://doi.org/10.1007/978-3-319-06520-5
  • Copyright Information Springer International Publishing Switzerland 2017
  • Publisher Name Springer, Cham
  • eBook Packages Education Education (R0)
  • Hardcover ISBN 978-3-319-06519-9
  • Softcover ISBN 978-3-319-79151-7
  • eBook ISBN 978-3-319-06520-5
  • Edition Number 1
  • Number of Pages XX, 272
  • Number of Illustrations 8 b/w illustrations, 48 illustrations in colour
  • Topics Educational Technology
    Learning & Instruction
  • Buy this book on publisher's site