Public or Private K-12 School

From Penn Center for Learning Analytics Wiki
Revision as of 15:07, 29 May 2023 by Zhanlan (talk | contribs)
Jump to navigation Jump to search

Verdugo et al. (2022) pdf

  • An algorithm predicting dropout from university after the first year
  • Several algorithms achieved better AUC and F1 for students who attended public high schools than for students who attended private high schools.


Queiroga et al. (2022) [https://doi.org/10.3390/info13090401 pdf]

* Models predicting secondary school students at risk of failure or dropping out.

* Models achieved high performances with an AUROC higher than 0.90 and F1-Macro higher than 0.88.

* Models achieve better results when new data comes from the secondary education period (e.g., model M2G1-UTU achieved a performance of 95%).

* First-year primary school zones (rural or urban) and sixth-year assessment-based grouping are two of the most important attributes of this model.