In 2010, University of Maryland University College began to partner with Montgomery College and Prince George’s Community College on the Predictive Analytics for Student Success project, also known as PASS. The PASS project used data mining and predictive analytics to improve community college transfer student success and persistence/completion.
UMUC, MC, and PGCC collaborated to build an integrated, cross-institutional database of student information and academic performance data to support the use of data mining to identify factors driving student success. Significant predictors identified include
- Marital status
- Community college math and English courses taken
- Community college GPA
- Credits earned at the community college
Based on predictive modeling, UMUC developed the Success Calculator, a tool that predicts a student’s probability of success at UMUC based on his or her community college experience.
With support from the Kresge Foundation, UMUC, MC, and PGCC are now able to predict and intervene to improve student success from community college, through transfer, to graduation.
As a result of this collaboration, the partner institutions are developing new programs, processes, and interventions to support student success.