This project includes two phases. The first phase evaluates the ability of a predictive model to identify students at-risk of leaving college early, and examines the extent to which there are patterns of advising participation rates and retention rates associated with a student’s risk-level classification. The second phase of the project develops and tests the effectiveness of an academic advising intervention compared to the risk categories created by data from the predictive model.
Materials and Outcomes
Throughout the course of this project, updates and final reports will be posted here.
Researchers develop a model to forecast dropout rates, better support students Can a mathematical equation predict which students are most likely to drop out? Yes, according to the findings of a new report published by the Higher Education Quality Council of Ontario (HEQCO). Researchers at Mohawk College and the Education Policy Research Initiative (EPRI) developed […]
More Robust Student Outreach Could Reduce Drop-out Rates First-year students who received repeated emails encouraging them to participate in advising services — particularly in group advising sessions — were less likely to drop out, finds a new report published by the Higher Education Quality Council of Ontario (HEQCO). The study was conducted by researchers at […]