Machine Learning Paradigms: Advances in Learning Analytics

Virvou, Maria; Alepis, Efthimios; Tsihrintzis, George A.; Jain, Lakhmi C.

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.

Details

Published by: Springer

Publication Date: 2019-03-26

Format: Hardcover

ISBN-13: 9783030137427

DOI: 10.1007/978-3-030-13743-4

Dimensions: 235.0cm x155.0cm

Pages: 223.0