© 2020

Radical Solutions and Learning Analytics

Personalised Learning and Teaching Through Big Data

  • Daniel Burgos

Part of the Lecture Notes in Educational Technology book series (LNET)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Francisco José García-Peñalvo
    Pages 1-15
  3. Richard Tong, Shuai Wang, Elizabeth McBride, Hannah Kelly, Wei Cui
    Pages 17-35
  4. Camilo Andrés Ortiz Daza, Fredys A. Simanca H., Fabian Blanco Garrido, Daniel Burgos
    Pages 81-98
  5. Jonathan Enrique Cuspoca Ruiz, Julio Baron Velandia, Jhon Francined Herrera-Cubides, Paulo Alonso Gaona-García, Carlos Enrique Montenegro-Marín
    Pages 131-156
  6. Doug Lynch, Ulrik Juul Christensen, Nicholas J. Howe
    Pages 157-172
  7. Lars Nellemann, Peter Nordestgaard, Lone Dirckinck-Holmfeld
    Pages 193-211
  8. Pablo Moreno-Ger, Daniel Burgos
    Pages 213-227

About this book


Learning Analytics become the key for Personalised Learning and Teaching thanks to the storage, categorisation and smart retrieval of Big Data. Thousands of user data can be tracked online via Learning Management Systems, instant messaging channels, social networks and other ways of communication. Always with the explicit authorisation from the end user, being a student, a teacher, a manager or a persona in a different role, an instructional designer can design a way to produce a practical dashboard that helps him improve that very user’s performance, interaction, motivation or just grading. This book provides a thorough approach on how education, as such, from teaching to learning through management, is improved by a smart analysis of available data, making visible and useful behaviours, predictions and patterns that are hinder to the regular eye without the process of massive data.


Learning Analytics Personalised Learning Big Data Neural Networks Artificial Intelligence Informal Learning Adaptive Learning Adaptability Learning Experience Educational Technology

Editors and affiliations

  • Daniel Burgos
    • 1
  1. 1.Research Institute for Innovation & Technology in Education (UNIR iTED)Universidad Internacional de La Rioja (UNIR)Logroño, La RiojaSpain

About the editors

Prof. Dr. Daniel Burgos works as a Full Professor of Technologies for Education & Communication and Vice-rector for International Research (UNIR Research), at Universidad Internacional de La Rioja (UNIR). In addition, he holds the UNESCO Chair on eLearning and the ICDE Chair in Open Educational Resources. He works also as Director of the Research Institute for Innovation & Technology in Education (UNIR iTED).

His interests are mainly focused on Educational Technology & Innovation: Adaptive/Personalised and Informal eLearning, Learning Analytics, Social Networks, eGames, and eLearning Specifications. He has published over 130 scientific papers, 15 books and 15 special issues on indexed journals. He is or has been involved in +55 European and Worldwide R&D projects, with a practical implementation approach.

He also works as a Professor at An-Najah National University (Palestine), an Assistant Professor at Universidad Nacional de Colombia (UNAL, Colombia), and a Visiting Professor at Coventry University (United Kingdom) and Universidad de las Fuerzas Armadas (ESPE, Ecuador). He has been chair (2016, 2018) and vice-chair (2015, 2017) of the international jury for the UNESCO King Hamad Bin Isa Al Khalifa Prize for the Use of ICTs in Education. He is a consultant for United Nations Economic Commission for Europe (UNECE), European Commission, European Parliament, Russian Academy of Science and ministries of Education in over a dozen countries. He is an IEEE Senior Member. He holds degrees in Communication (PhD), Computer Science (Dr. Ing), Education (PhD), Anthropology (PhD), Business Administration (DBA) and Artificial Intelligence (MIT, postgraduate).

Bibliographic information

  • Book Title Radical Solutions and Learning Analytics
  • Book Subtitle Personalised Learning and Teaching Through Big Data
  • Editors Daniel Burgos
  • Series Title Lecture Notes in Educational Technology
  • Series Abbreviated Title Lecture Notes Educational Technology
  • DOI
  • Copyright Information Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Education Education (R0)
  • Hardcover ISBN 978-981-15-4525-2
  • Softcover ISBN 978-981-15-4528-3
  • eBook ISBN 978-981-15-4526-9
  • Series ISSN 2196-4963
  • Series E-ISSN 2196-4971
  • Edition Number 1
  • Number of Pages XIV, 227
  • Number of Illustrations 22 b/w illustrations, 41 illustrations in colour
  • Topics Educational Technology
    Technology and Digital Education
    Learning & Instruction
    Higher Education
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