Vol. 11 No. 3 (2019)
Articles
Early Detection of Students at Risk - Predicting Student Dropouts Using Administrative Student Data from German Universities and Machine Learning Methods
Abstract 2876 | PDF Downloads 1804 | DOI https://doi.org/10.5281/zenodo.3594771
Page 1-41
Understanding Hybrid-MOOC Effectiveness with a Collective Socio-Behavioral Model
Abstract 930 | PDF Downloads 676 | DOI https://doi.org/10.5281/zenodo.3594773
Page 42-77