A Sentiment Analysis Based Approach to Fight MOOCs’ Drop Out-Reference-Cited by-同舟云学术

A Sentiment Analysis Based Approach to Fight MOOCs’ Drop Out

Published:2021-10-02 Issue: Volume: Page:509-520
ISSN:2190-3018
Container-title:Networking, Intelligent Systems and Security
language:
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Author:

Sraidi Soukaina^ORCID,Smaili El Miloud^ORCID,Azzouzi Salma^ORCID,Charaf My El Hassan^ORCID

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-3637-0_36

Reference22 articles.

1. Tahiri, J.S., et al.: MOOC…Un espace de travail collaboratif mature: Enjeux du taux de réussite. La 2éme conférence francophone sur les systemes collaboratifs (SysCo’14). SEPTEMBER, pp. 131–144 (2014)

2. Mu, X., et al.: MOOCad: visual analysis of anomalous learning activities in massive open online courses. EuroVis (Short Papers). 2019, 91–95 (2019). https://doi.org/10.2312/evs.20191176

3. Liao, J., et al.: Course drop-out prediction on MOOC platform via clustering and tensor completion. Tsinghua Sci. Technol. 24(4), 412–422 (2019). https://doi.org/10.26599/TST.2018.9010110..

4. Shi, L., et al.: Revealing the hidden patterns: a comparative study on profiling subpopulations of MOOC students. In: Proceedings of the 28th International Conference on Information Systems Development: Information Systems Beyond 2020, ISD 2019 (2019)

5. Shi, L., et al.: Social interactions clustering MOOC students: an exploratory study. arXiv. (2020).

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