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Radical Solutions and Learning Analytics

Personalised Learning and Teaching Through Big Data

  • Daniel Burgos
Book

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

Introduction

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.


Keywords

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

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-15-4526-9
  • Copyright Information Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Education
  • Print ISBN 978-981-15-4525-2
  • Online ISBN 978-981-15-4526-9
  • Series Print ISSN 2196-4963
  • Series Online ISSN 2196-4971
  • Buy this book on publisher's site