Risk levels are determined by each student’s risk relative to their peers. There are no absolute cutoffs for what is considered low/med/high risk. If an institution on average has students pass 90% of classes, then likely there are students who are marked as medium or high risk even though they have a probability of >85% of completing their course. They just happen to be in the bottom 40% of student risk profiles. Regardless of where a cutoff would be, we always mark 10% of students as high risk, 30% as medium risk, and the other 60% as low risk for both Course Completion and Persistence risk levels
Articles in this section
- When are the Predict Models updated?
- Why is there a large drop in High School student retention at the end of the Fall term?
- Predict Troubleshooting
- Why is there a question mark on the Course Completion risk indicator?
- Why is there a question mark on the Persistence risk indicator?
- What happens to the predict models when I update a data feed?
- Why does a factor show up as a risk when we’d expect it to be a success factor (and vice versa)?
- Why are a student’s course completion factors the same for each of their enrollments? Why are they the same as the student persistence factors?
- Why is this student at this risk level when we have strong information pointing them in the opposite direction?
- Why did this student’s risk level change when none of their data changed?