While we do have factors specific to the type of course a student is taking, particularly if it is a repeated course, it is often the case that the strongest indicators of risk and success are characteristics of the student overall. This means that the strongest factors related to each course are very similar or the same for each course a student is enrolled in. When that is the case, it is also not uncommon for the persistence factors to be the same/similar because factors for course completion and persistence are fairly correlated.
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?
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