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.