Modeling Techniques (Predicting student performance using data from an Auto-grading system)
In their paper the authors used different models: decision tree, linear regression. Decision trees are built from the training set so that each split will give the maximum possible information. In the case of linear regression, they used multivariate linear regression as they had several independent variables.
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Introduction (Predicting student performance using data from an Auto-grading system)
Related Work (Predicting student performance using data from an Auto-grading system)
Student Performance and Marmoset (Predicting student performance using data from an Auto-grading system)
Modeling Techniques (Predicting student performance using data from an Auto-grading system)
Features (Predicting student performance using data from an Auto-grading system)
Experiments and Evaluation (Predicting student performance using data from an Auto-grading system)
Reference for (Predicting student performance using data from an Auto-grading system)