Course Grade and GPA Prediction

Lee and Kizilcec (2020) [pdf]

• Models predicting college success (or median grade or above)
• Random forest algorithms performed significantly worse for male students than female students
• The fairness of the model, namely demographic parity and equality of opportunity, as well as its accuracy, improved after correcting the threshold values

Yu et al. (2020) [pdf]

• Models predicting undergraduate course grades and average GPA

• Students who are international, first-generation, or from low-income households were inaccurately predicted to get lower course grade and average GPA than their peers
• Fairness of models improved with the inclusion of clickstream and survey data

Riazy et al. (2020) [pdf]

• Models predicting course outcome of students in a virtual learning environment (VLE)
• Students with self-declared disability were predicted to pass the course with 16-23 percentage points in favor from the training and test set