Author:
Drousiotis Efthyvoulos,Pentaliotis Panagiotis,Shi Lei,Cristea Alexandra I.
Publisher
Springer International Publishing
Reference19 articles.
1. Communications in Computer and Information Science;C Gütl,2014
2. Kloft, M., Stiehler, F., Zheng, Z., Pinkwart, N.: Predicting MOOC dropout over weeks using machine learning methods. In: Proceedings of the EMNLP 2014 Workshop on Analysis of Large Scale Social Interaction in MOOCs, Doha, Qatar, October 2014, pp. 60–65 (2014). https://doi.org/10.3115/v1/W14-4111
3. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);C Tang,2018
4. Wang, L., Wang, H.: Learning behavior analysis and dropout rate prediction based on MOOCs data. In: 2019 10th International Conference on Information Technology in Medicine and Education (ITME), August 2019, pp. 419–423 (2019). https://doi.org/10.1109/ITME.2019.00100
5. Cristea, A., Alamri, A., Stewart, C., Alshehri, M., Shi, L.: Earliest predictor of dropout in MOOCs: a longitudinal study of futurelearn courses Mizue Kayama. Presented at the 27th International Conference on Information Systems Development (Isd2018 Lund, Sweden), August 2018
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