A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs-Reference-Cited by-同舟云学术

A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs

Published:2021 Issue: Volume: Page:28-37
ISSN:0302-9743
Container-title:Intelligent Tutoring Systems
language:
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Author:

Sun Zhongtian,Harit Anoushka,Yu Jialin,Cristea Alexandra I.,Shi Lei

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-80421-3_4

Reference65 articles.

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3. Al-Shabandar, R., Hussain, A., Laws, A., Keight, R., Lunn, J., Radi, N.: Machine learning approaches to predict learning outcomes in massive open online courses. In: 2017 International Joint Conference on Neural Networks (IJCNN), pp. 713–720. IEEE (2017)

4. Lecture Notes in Computer Science;A Alamri,2020

5. Ardchir, S., Talhaoui, M.A., Jihal, H., Azzouazi, M.: Predicting MOOC dropout based on learner’s activity. Int. J. Eng. Technol. 7(4.32), 124–126 (2018)

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