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Book details
File Size: 12.77 MB
Format: pdf
Print Length: 370 pages
Publisher: Springer; 1st ed. 2019 edition (July 3, 201
Publication Date: July 3, 2018
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B07F7V67Y5
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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