In this paper data from two MOOC courses hosted in edX are used: Introduction to Programming with Java - Part 1: Starting to Program in Java. and Introduction to Computing with Java. The characteristics of these courses differed like duration for the first one was 5 weeks and for the second one 10 weeks. The features that are available in the dataset can be grouped into course features, forum features and clickstream. The authors wanted to predict pass/fail rates and exam grades (on 0-1 scale). They used different models for this purpose:

1. Regression

2. Support Vector Machines (SVM)

3. Decision Trees

4. Random Forest