Difference between revisions of "Parental Educational Background"

Revision as of 07:55, 17 February 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 lower than class media final course grade and lower average GPA
Fairness of models improved with the inclusion of clickstream and survey data

Yu et al. (2021) pdf

Models predicting college dropout
Models for first-generation residential students showed worse accuracy and true negative rate (i.e., predicting power of sophomore year persistence on college persistence)
Models for first-generation residential students showed significantly better recall (i.e., proportion of correctly identified dropouts) than online peers, whether the attribute were made aware or not

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 * First-generation college students were inaccurately predicted to lower than class media final course grade and lower average GPA
 * Fairness of models improved with the inclusion of clickstream and survey data
+Yu et al. (2021) [https://dl.acm.org/doi/pdf/10.1145/3430895.3460139 pdf]
+* Models predicting college dropout
+* Models for first-generation residential students showed worse accuracy and true negative rate (i.e., predicting power of sophomore year persistence on college persistence)
+* Models for first-generation residential students showed significantly better recall (i.e., proportion of correctly identified dropouts) than online peers, whether the attribute were made aware or not