Trusting the Prediction
Just like near-term Persistence predictions (which predict retention into the next term), completion predictions are built from your institution’s data and reflect the unique student experience on your campus, using the same data-modeling and machine-learning platform. Each student gets an individual completion prediction, based on their performance and activity relative to the historical trends for who completes degrees at your institution.
Common drivers of a completion prediction include GPA, number of completed credits, and degree program alignment scoring. However, predictions reflect your institution's data model, as well as the machine learning on your data. Contact Support if you need the ranked feature list that underlies your predictions.
Locating Prediction Scores
Completion prediction scores are available throughout Administrative Analytics. You access them in three ways:
1 - Insights Dashboard
You access prediction data throughout the top-level dashboard, Completion Insights. These insights are driven by the values you select for the two drop-down lists, for the completion window and the start term:
The completion window is the number of consecutive years allowed between the start of the academic journey (which is the first term when courses were taken) and its finish (which is determined by the credential being earned). You have three windows to choose from (such as 3, 4, and 6), and these were configured as being the most relevant ones for your institution.
2 - Filters
You access prediction data through optional Filters, which you can select by the completion windows (number of years) that are defined for your institutions.
Note: These are top-level prediction filters that apply to all pages. The counts you see reflect all currently enrolled students, not the start term selected on your Completion Insights dashboard.
3 - Student Lists
You access prediction data through a default column in Student Lists, next to the Persistence Prediction. To see additional completion windows, use the Add Column (+) button: