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Machine Learning Paradigms: Advances in Learning Analytics: 158 (Intelligent Systems Reference Library, 158) - Tapa dura

Libro 128 de 188: Intelligent Systems Reference Library
 
9783030137427: Machine Learning Paradigms: Advances in Learning Analytics: 158 (Intelligent Systems Reference Library, 158)
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ISBN 10: 3030137422 ISBN 13: 9783030137427
Editorial: Springer, 2019

Sinopsis

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.

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De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2019
Idioma
Inglés
ISBN 10 
3030137422
ISBN 13 
9783030137427
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
240
Editor
Alepis Efthimios, Tsihrintzis George A., Virvou Maria
Contacto del fabricante
no disponible
Persona responsable
GPSR Kontakt
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