Difference between revisions of "Course Grade and GPA Prediction"
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* Models predicting undergraduate course grades and average GPA | * Models predicting undergraduate course grades and average GPA | ||
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* 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 | * First-generation college students were inaccurately predicted to lower than class media final course grade and lower average GPA | ||
Revision as of 08:44, 17 February 2022
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