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Creating Predictive Models

Civitas Learning’s dedicated team of data scientists create predictive models to deliver powerful insights about your institution’s student data.

For Inspire for Faculty, the process is as follows:

Step 1: Historical data specific to your institution is ingested by our systems and institution-specific predictive models are created.

Step 2: All LMS data related to your course is fed into the model on a daily basis (unless your institution has opted for a different schedule). The screen’s upper right corner displays the last time data was refreshed from your institution’s systems.

Step 3: The course-specific data generates engagement scores for each student relative to other students in the course. These scores are refreshed as the data updates.  

Step 4: Over time, as students’ LMS activity patterns change, they will spread across the engagement buckets from very low to very high.

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