If a student’s risk level changed when their data hasn’t, then it is likely that the data for other students changed. Because we always have a 10%/30%/60% of students split into High/Medium/Low risk levels, it is possible for students to move risk levels without their probability score changing. This happens when other students move categories, which pushes them into a new category. We always display the probability of their score for this reason, as it helps provide context for each student’s risk level.
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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