Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs-Reference-Cited by-同舟云学术

Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs

Published:2022 Issue: Volume: Page:717-723
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Alshehri Mohammad,Alamri Ahmed,Cristea Alexandra I.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-11644-5_73

Reference18 articles.

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2. Alshehri, M., Alamri, A., Cristea, A.I., Stewart, C.D.: Towards designing profitable courses: predicting student purchasing behaviour in MOOCs. Int. J. Artif. Intell. Educ. 31(2), 215–233 (2021). https://doi.org/10.1007/s40593-021-00246-2

3. Gardner, J., Brooks, C.: Student success prediction in MOOCs. User Model. User-Adap. Inter. 28(2), 127–203 (2018). https://doi.org/10.1007/s11257-018-9203-z

4. Alshehri, M., Alamri, A., Cristea, A.I.: Predicting certification in MOOCs based on students’ weekly activities. In: Cristea, A.I., Troussas, C. (eds.) Intelligent Tutoring Systems: 17th International Conference, ITS 2021, Virtual Event, June 7–11, 2021, Proceedings, pp. 173–185. Springer International Publishing, Cham (2021). https://doi.org/10.1007/978-3-030-80421-3_20

5. Alamri, A., et al.: Predicting MOOCs dropout using only two easily obtainable features from the first week’s activities. In: Coy, A., Hayashi, Y., Chang, M. (eds.) Intelligent Tutoring Systems: 15th International Conference, ITS 2019, Kingston, Jamaica, June 3–7, 2019, Proceedings, pp. 163–173. Springer International Publishing, Cham (2019). https://doi.org/10.1007/978-3-030-22244-4_20