Parental Educational Background
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Kai et al. (2017) pdf
- Models predicting student retention in an online college program
- J-48 decision trees achieved much higher Kappa and AUC for students whose parents did not attend college than those whose parents did
- J-Rip decision rules achieved much higher Kappa and AUC for students whose parents did not attended college than those whose parents did
Yu et al. (2020) pdf
- Models predicting undergraduate course grades and average GPA
- First-generation college students were inaccurately predicted to get lower course grade and average GPA
- Fairness of models improved with the inclusion of clickstream and survey data
Yu et al. (2021) pdf
- Models predicting college dropout for students in residential and fully online program
- Whether the socio-demographic information was included or not, the model showed worse accuracy and true negative rates for first-generation students who are studying in person
- The model showed better recall for first-generation students, especially for those studying in person
Kung & Yu (2020)
pdf
- Predicting course grades and later GPA at public U.S. university
- Worse performance on independence for first-generation students in course grade prediction on 5 of 5 classic machine algorithms; worse performance on separation for 3 of 5 algorithms; comparable performance on sufficiency for 5 of 5 algorithms
- Worse performance on independence for first-generation students in later GPA prediction for three of five algorithms; two algorithms had worse separation and one algorithm had worse sufficiency