Course Grade and GPA Prediction

Lee and Kizilcec (2020) [pdf]

• Model predicting college course grade of median or above
• Out-of-the-box random forest model violates demographic parity and equality of opportunity for URM (underrepresented minority: American Indian, Black, Hawaiian or Pacific Islander, Hispanic, and Multicultural) than for non-URM students (White and Asian)

Yu et al. (2020) [pdf]

• Models predicting undergraduate course grades and average GPA

• Students from low-income households were inaccurately predicted to perform worse for both short-term (final course grade) and long-term (GPA)
• Fairness of model improved if it included only clickstream and survey data

• First-generation college students were inaccurately predicted to lower than class media final course grade and lower average GPA
• 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