Machine Learning Paradigms - Advances in Learning Analytics (Hardcover, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Intelligent Systems Reference Library, 158
Release date:	March 2019
First published:	2020
Editors:	Maria Virvou • Efthimios Alepis • George A. Tsihrintzis • Lakhmi C. Jain
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	223
Edition:	1st ed. 2020
ISBN-13:	978-3-03-013742-7
Categories:	Books > Social sciences > Education > Teaching skills & techniques Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-013742-2
Barcode:	9783030137427

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