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Early Warning Mechanisms for Online Learning Behaviors Driven by Educational Big Data
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Early Warning Mechanisms for Online Learning Behaviors Driven by Educational Big Data

Book Details

Format Hardback or Cased Book
ISBN-10 1032776811
ISBN-13 9781032776811
Publisher Taylor & Francis Ltd
Imprint Routledge
Country of Manufacture GB
Country of Publication GB
Publication Date Jun 14th, 2024
Print length 16 Pages
Weight 453 grams
Ksh 27,900.00
Werezi Extended Catalogue 0 in stock

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The book aims to design and construct early warming mechanisms based on the dynamic temporal tracking technology for online learning behaviors, driven by educational big data.

The book aims to design and construct early warning mechanisms based on the dynamic temporal tracking technology for online learning behaviors, driven by educational big data.

By studying a massive amount of learning behavior instances generated in various interactive learning environments worldwide, the book explores the continuous sequences of correlated learning behaviors and characteristics. From various angles, the authors have devised a series of early warning measures that could effectively solve multiple issues in learning behaviors driven by educational big data. Additionally, the book predicts patterns and identifies risks by analyzing the temporal sequences of the entire learning process. While presenting a range of theoretical achievements and technical solutions to improve and design new online learning mode, it also provides relevant technical ideas and methodologies for research on similar problems.

The book will attract scholars and students working on learning analytics and educational big data worldwide.


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