Radical solutions and learning analytics : personalised learning and teaching through big data / Daniel Burgos, editor.
Burgos, Daniel, editor.
2020
LB2822.75
Available Online

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Title Radical solutions and learning analytics : personalised learning and teaching through big data / Daniel Burgos, editor.
ISBN 9789811545269 (electronic book)
981154526X (electronic book)
9789811545252
DOI https://doi.org/10.1007/978-981-15-4
https://doi.org/10.1007/978-981-15-4526-9
Published Singapore : Springer, [2020]
Copyright ©2020
Language English
Description 1 online resource : illustrations.
Other Standard Identifiers 10.1007/978-981-15-4
10.1007/978-981-15-4526-9 doi
Call Number LB2822.75
Dewey Decimal Classification 371.26
Summary 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 users 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource ; title from PDF title page (viewed May 15, 2020).
Added Author Burgos, Daniel, editor.
Series Lecture notes in educational technology.
Available in Other Form Print version: 9789811545252
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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.

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