Difference between revisions of "Parental Educational Background"

Revision as of 10:13, 18 May 2022

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

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

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 Yu et al. (2021) [https://dl.acm.org/doi/pdf/10.1145/3430895.3460139 pdf]
-* Models predicting college dropout
+* Models predicting college dropout for students in residential and fully online program
-* Models for first-generation residential students showed worse accuracy and true negative rate (i.e., predicting power of sophomore year persistence in college)
+* 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
-* Models for first-generation residential students showed significantly better recall (i.e., proportion of correctly identified dropouts) than online peers, whether their status were included or not
+* The model showed better recall for first-generation students