Massimo Vitiello
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User Behavioral Patterns and Early Dropouts Detection: Improved Users Profiling through Analysis of Successive Offering of MOOC.
M Vitiello, S Walk, D Helic, V Chang, C Guetl
J. Univers. Comput. Sci. 24 (8), 1131-1150, 2018
MOOC dropouts: A multi-system classifier
M Vitiello, S Walk, V Chang, R Hernandez, D Helic, C Guetl
European Conference on Technology Enhanced Learning, 300-314, 2017
Classifying students to improve MOOC dropout rates
M Vitiello, S Walk, R Hernández, D Helic, C Gütl
Research Track 501, 2016
MOOC learner behaviour: attrition and retention analysis and prediction based on 11 courses on the TELESCOPE platform
M Vitiello, C Gütl, HR Amado-Salvatierra, R Hernández
International Workshop on Learning Technology for Education in Cloud, 99-109, 2017
Predicting dropouts on the successive offering of a MOOC
M Vitiello, S Walk, D Helic, V Chang, C Gütl
Proceedings of the 2017 International Conference MOOC-MAKER, MOOC-MAKER 2017 …, 2017
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