Cantitate/Preț
Produs

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

Editat de Daniel Burgos
en Limba Engleză Hardback – 9 mai 2020
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.

Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 62489 lei  6-8 săpt.
  Springer Nature Singapore – 9 mai 2021 62489 lei  6-8 săpt.
Hardback (1) 63097 lei  6-8 săpt.
  Springer Nature Singapore – 9 mai 2020 63097 lei  6-8 săpt.

Din seria Lecture Notes in Educational Technology

Preț: 63097 lei

Preț vechi: 74231 lei
-15% Nou

Puncte Express: 946

Preț estimativ în valută:
12075 12543$ 10030£

Carte tipărită la comandă

Livrare economică 01-15 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9789811545252
ISBN-10: 9811545251
Ilustrații: XIV, 227 p. 63 illus., 41 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.52 kg
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Educational Technology

Locul publicării:Singapore, Singapore

Cuprins

1 Learning Analytics as a Breakthrough in Educational Improvement.- 2 LA to Improve the Learner's Performance.- 3 LA to Improve the Teacher's Performance.- 4 Dashboards for a Better Application of LA.- 5 Mobile LA in Digital Devices.- 6 Physical Sensors and LA in the Classroom.- 7 Remote Labs and Big Data.- 8 Understanding Big Data for Educational Management.- 9 Interpretation of Live Data and Decision Making in Streamed Lessons and Real-Time User Tracking.- 10 Prediction of Users' Behaviour.- 11 Prevention of Students and Faculty Attrition.- 12 Personalised Mentoring Through Quantitative & Qualitative Data.- 13 User Vectorisation Through Deep Learning and Neural Networks.- 14 Fighting Student's Drop-Out Through Historical Data.- 15 Visual Analytics for a Better Impact of Deep Data.

Notă biografică

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).


Textul de pe ultima copertă

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.


Caracteristici

Presents a comprehensive compendium of breakthroughs, both current and imminent, to improve higher education Provides pioneering ideas from the leading experts in their fields Offers real-world examples for every topic to inspire readers