Radical Solutions and Learning Analytics: Personalised Learning and Teaching Through Big Data (Lecture Notes in Educational Technology) - Hardcover

Hardcover

ISBN 10: 9811545251 ISBN 13: 9789811545252

Publisher: Springer, 2020

Synopsis

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.

About this title

About the Author

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).

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2020
• Language: English
• ISBN 10: 9811545251
• ISBN 13: 9789811545252
• Binding: Hardcover
• Edition number: 1
• Number of pages: 241
• Editor: Burgos Daniel