Xiaona Xia, Wanxue Qi

Early Warning Mechanisms for Online Learning Behaviors Driven by Educational Big Data (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 232
• Erscheinungstermin: 14. Juni 2024
• Englisch
• ISBN-13: 9781040044476
• Artikelnr.: 70468058

Autorenporträt

Xiaona Xia is a professor and earned her PhD from Qufu Normal University. She is also a member of IEEE Computer Society and China Computer Federation (CCF). Her research interests include learning analytics, interactive learning environments, collaborative learning, educational big data, educational statistics, data mining and service computing.

Wanxue Qi is a PhD supervisor of Qufu Normal University. He is a famous education expert and has made remarkable achievements in higher education and moral education theory. His research interests include educational big data and moral education.

Inhaltsangabe

1 Introduction 2. Multidimensional Temporal Fusion and Risk Prediction in Interactive Learning Process 3. Learning Enthusiasm Enabled Dynamic Early Warning Sequence Model 4. Early Warning Value Propagation Network for Continuous Learning Behaviors 5. Early Warning Pivot Space Model of Multi-Temporal Interactive Learning Process 6. Early Warning Model Design and Decision Application of Unbalanced Interactive Learning Behaviors 7. Cost Sensitivity Analysis and Adaptive Prediction of Unbalanced Interactive Learning Behaviors 8. Diagnostic Analysis Framework and Early Warning Mechanism of Forgettable Learning Behaviors 9 Conclusion