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

Released on by Xiaona Xia
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  • Early Warning Mechanisms for Online Learning Behaviors Driven by Educational Big Data Book Detail

  • Author : Xiaona Xia
  • Release Date : 2024-06-14
  • Publisher : Taylor & Francis
  • Genre : Computers
  • Pages : 209
  • ISBN 13 : 1040044441
  • File Size : 40,40 MB
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Early Warning Mechanisms for Online Learning Behaviors Driven by Educational Big Data by Xiaona Xia PDF Summary

Book Description: 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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Big Data in Education

Big Data in Education

File Size : 63,63 MB
Total View : 1653 Views
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Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the p