Machine Learning Paradigms: Advances in Learning Analytics

Author:   Maria Virvou ,  Efthimios Alepis ,  George A. Tsihrintzis ,  Lakhmi C. Jain
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   158
ISBN:  

9783030137427


Pages:   223
Publication Date:   26 March 2019
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Machine Learning Paradigms: Advances in Learning Analytics


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Overview

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.

Full Product Details

Author:   Maria Virvou ,  Efthimios Alepis ,  George A. Tsihrintzis ,  Lakhmi C. Jain
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   158
Weight:   0.530kg
ISBN:  

9783030137427


ISBN 10:   3030137422
Pages:   223
Publication Date:   26 March 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

The book ... exposes its readers to the full spectrum of related research problems and progress. ... Each chapter is carefully written to be self-contained and complete. ... Professors, graduate students and researchers in Learning Analytics, will find this book as a valuable resource for conducting their research. ... I congratulate the Editors for their outstanding work. I consider their book as an important addition to the Learning Analytics literature and I provide my highest and unreserved recommendation to it. (Ioannis Hatzilygeroudis, Intelligent Decision Technologies, Vol. 15 (2), 2021)


“The book … exposes its readers to the full spectrum of related research problems and progress. … Each chapter is carefully written to be self-contained and complete. … Professors, graduate students and researchers in Learning Analytics, will find this book as a valuable resource for conducting their research. … I congratulate the Editors for their outstanding work. I consider their book as an important addition to the Learning Analytics literature and I provide my highest and unreserved recommendation to it.” (Ioannis Hatzilygeroudis, Intelligent Decision Technologies, Vol. 15 (2), 2021)


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