Alvaro Quezada Hofflinger and I have built models to predict the risk of dropout at a Chilean university. Our predictions become much more accurate after students’ first semester in college. Some of the most predictive variables–such as whether a student received a fellowship or was admitted to their first choice major–are under the university’s control.
- Source. von Hippel, Paul T. and Quezada-Hofflinger, Alvaro. (2017). “The Data Revolution Comes to Higher Education: Identifying Students at Risk of Dropout in Chile.” SSRN working paper 3073912.
I have also blogged about the broad potential of predictive analytics in higher education:
- von Hippel, P.T. (2013). “What higher education today has in common with banking in the 1970s.” Civitas Learning Space.
- von Hippel, P.T. (2013). “Champion-challenger testing in higher education.” Civitas Learning Space.