National and International Examination
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Baker et al. (2020) pdf
- Model predicting student graduation and SAT scores for military-connected students
- For prediction of graduation, algorithms applying across population resulted an AUC of 0.60, degrading from their original performance of 70% or 71% to chance.
- For prediction of SAT scores, algorithms applying across population resulted in a Spearman's ρ of 0.42 and 0.44, degrading a third from their original performance to chance.
Li et al. (2021) pdf
- Model predicting student achievement on the standardized examination PISA
- Inaccuracy of the U.S.-trained model was greater for students from countries with lower scores of national development (e.g. Indonesia, Vietnam, Moldova)
Sulaiman & Roy (2022) 
- Models predicting whether a law student will pass the bar exam (to practice law)
- Compared White and non-White students
- Models not applying fairness constraints performed significantly worse for White students in terms of ABROCA
- Models applying fairness constraints performed equivalently for White and non-White students