Difference between revisions of "Task/Activity Quit Prediction"

From Penn Center for Learning Analytics Wiki
Jump to navigation Jump to search
(first entry)
(No difference)

Revision as of 22:58, 20 June 2022

Rzepka et al. (2022) pdf

  • Models predicting whether student will quit spelling learning activity without completing
  • Multiple algorithms have slightly better false positive rates for second-language speakers than native speakers,

but equivalent performance on multiple other metrics.

  • Multiple algorithms have slightly better false positive rates and AUC ROC for students with at least one parent who graduated

high school, but equivalent performance on multiple other metrics.

  • Multiple algorithms have slightly better false positive rates and AUC ROC for male students than female students,

but equivalent performance on multiple other metrics.