Machine Learning Paradigms : Advances in Learning Analytics
Language: English
Published by Springer, 2019
Series: Book 128 of 188 - Intelligent Systems Reference Library
- Hardcover
- Used

Condition: Used
US$ 148.70
Quantity: 1 available
Add to basketItem description from seller
Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.…
Seller Inventory # 33547791/1
- Title
- Machine Learning Paradigms : Advances in Learning Analytics
- Author
- Unbekannt
- Publisher
- Springer
- Publication year
- 2019
- Condition
- Hervorragend
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3030137422
- ISBN 13
- 9783030137427
- Series
- Book 128 of 188: Intelligent Systems Reference Library
- Seller catalogs
- Bücher
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."Synopsis" may belong to another edition of this title.
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"About the title" may belong to another edition of this title.
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