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Modeling and Predicting Learning Behavior in MOOCs

  • Published:2016-02-08 Issue: Volume: Page:
  • ISSN:
  • Container-title:Proceedings of the Ninth ACM International Conference on Web Search and Data Mining
  • language:
  • Short-container-title:

Author:

Qiu Jiezhong1,Tang Jie1,Liu Tracy Xiao1,Gong Jie2,Zhang Chenhui1,Zhang Qian1,Xue Yufei1

Affiliation:

1. Tsinghua University, Beijing, China

2. National University of Singapore, Singapore, Singapore

Funder

National Social Science Foundation of China

Tsinghua University Initiative Scientific Research Program

National High-tech R&D Program

Natural Science Foundation of China

Publisher

ACM

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1. Prediction of In-Class Performance Based on MFO-ATTENTION-LSTM;International Journal of Computational Intelligence Systems;2024-01-18

2. Multi-scale reinforced profile for personalized recommendation with deep neural networks in MOOCs;Applied Soft Computing;2023-11

3. AI-Based Diagnostic Assessment System: Integrated With Knowledge Map in MOOCs;IEEE Transactions on Learning Technologies;2023-10

4. Impact of Covid-19 epidemic on online learning and educational resources in China;EAI Endorsed Transactions on Pervasive Health and Technology;2023-08-21

5. Stay or Leave? Exploring Student Factors Associated with Dropout Patterns in Massive Open Online Courses;2023 IEEE International Conference on Advanced Learning Technologies (ICALT);2023-07
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