Téléchargez le livre : Machine Learning Paradigms

Machine Learning Paradigms

Advances in Learning Analytics de

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Éditeur :

Springer


Paru le : 2019-03-16

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Description

This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators’ and learners’ data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including:
• Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation;
• Using learning analytics to predict student performance;
• Using learning analytics to create learning materials and educational courses; and
• Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning.
The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.
Pages
223 pages
Collection
n.c
Parution
2019-03-16
Marque
Springer
EAN papier
9783030137427
EAN PDF
9783030137434
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
5990 Ko
Prix
142,93 €
EAN EPUB
9783030137434
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
15514 Ko
Prix
142,93 €

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