Difference between revisions of "Course Grade and GPA Prediction"
Jump to navigation
Jump to search
| Line 7: | Line 7: | ||
* Models predicting undergraduate course grades and average GPA | * Models predicting undergraduate course grades and average GPA | ||
* Students from low-income households were inaccurately predicted to | * 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 | * Fairness of models improved with the inclusion of clickstream and survey data | ||
Revision as of 08:59, 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 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