Predicting Student Examinee Rate in Massive Open Online Courses-Reference-Cited by-同舟云学术

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Predicting Student Examinee Rate in Massive Open Online Courses

Published:2017 Issue: Volume: Page:340-351
ISSN:0302-9743
Container-title:Database Systems for Advanced Applications
language:
Short-container-title:

Author:

Lu Wei,Wang Tongtong,Jiao Min,Zhang Xiaoying,Wang Shan,Du Xiaoyong,Chen Hong

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-55705-2_27

Reference28 articles.

1. Academic & university news — times higher education (the). https://www.timeshighereducation.com/news/mooc-completion-rates-below-7/2003710.article/

2. China university MOOC. http://www.icourse163.org/

3. Coursera. https://www.coursera.org

4. Data driven education workshop. https://nips.cc/Conferences/2013/

5. edX. https://www.edx.org/

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ensemble models based on CNN and LSTM for dropout prediction in MOOC;Expert Systems with Applications;2024-01

2. Prediction in MOOCs: A Review and Future Research Directions;IEEE Transactions on Learning Technologies;2019-07-01

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