home libri books Fumetti ebook dvd top ten sconti 0 Carrello


Torna Indietro

burgos daniel (curatore) - radical solutions and learning analytics

Radical Solutions and Learning Analytics Personalised Learning and Teaching Through Big Data




Disponibilità: Normalmente disponibile in 15 giorni


PREZZO
108,98 €
NICEPRICE
103,53 €
SCONTO
5%



Questo prodotto usufruisce delle SPEDIZIONI GRATIS
selezionando l'opzione Corriere Veloce in fase di ordine.


Pagabile anche con Carta della cultura giovani e del merito, 18App Bonus Cultura e Carta del Docente


Facebook Twitter Aggiungi commento


Spese Gratis

Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 05/2021
Edizione: 1st ed. 2020





Trama

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.






Sommario

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.




Autore

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).











Altre Informazioni

ISBN:

9789811545283

Condizione: Nuovo
Collana: Lecture Notes in Educational Technology
Dimensioni: 235 x 155 mm Ø 454 gr
Formato: Brossura
Illustration Notes:XIV, 227 p. 63 illus., 41 illus. in color.
Pagine Arabe: 227
Pagine Romane: xiv


Dicono di noi