Massimo Vitiello
Cited by
Cited by
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
Data Driven Approaches in Digital Education: 12th European Conference on†…, 2017
Classifying students to improve MOOC dropout rates
M Vitiello, S Walk, R HernŠndez, D Helic, C GŁtl
Research Track 501, 2016
MOOC learner behaviour: attrition and retention analysis and prediction based on 11 courses on the TELESCOPE platform
M Vitiello, C GŁtl, HR Amado-Salvatierra, R HernŠndez
Learning Technology for Education Challenges: 6th International Workshop†…, 2017
Predicting dropouts on the successive offering of a MOOC
M Vitiello, S Walk, D Helic, V Chang, C GŁtl
Proceedings of the 2017 International Conference MOOC-Maker, MOOC-Maker 2017†…, 2017
The system can't perform the operation now. Try again later.
Articles 1–5