Difference between revisions of "Course Grade and GPA Prediction"
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* Model predicting college course grade of median or above | * 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) | * 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) [[https://files.eric.ed.gov/fulltext/ED608066.pdf pdf]] | Yu et al. (2020) [[https://files.eric.ed.gov/fulltext/ED608066.pdf pdf]] | ||
* Model predicting undergraduate course grades and average GPA | * Model predicting undergraduate course grades and average GPA | ||
Riazy et al. (2020) [[https://www.scitepress.org/Papers/2020/93241/93241.pdf pdf]] | Riazy et al. (2020) [[https://www.scitepress.org/Papers/2020/93241/93241.pdf pdf]] | ||
Revision as of 03:02, 24 January 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]
- Model predicting undergraduate course grades and average GPA
Riazy et al. (2020) [pdf]
- Model predicting course outcome
- Fairly marginal differences were found for prediction quality and in overall proportion of predicted pass between groups
- Inconsistent in direction between algorithms.