The Student Success System uses analytical insights to make predictions about student success and risk levels in your courses. The predictive analysis used by the Student Success System is adaptable to the instructional approach of each course, allowing you to monitor student engagement and achievement expectations for your courses. With the Student Success System, you can use the predictive models to monitor and design targeted interventions for at-risk students in active courses to improve student success, retention, completion, and graduation rates.
Note Administrators create and configure predictive models for target courses in the administrative Student Success System interface.
All students in the course display in a list on a class dashboard. Click on a student's name to navigate to their student dashboard, which displays data on their performance in the course. A win-loss chart provides an at-a-glance visualization of the student's performance in comparison to the rest of the class in all of the pre-selected domains, while detailed and interactive visualizations are available for the Success Index, Social Learning domain, and Grades domain.
Click 
Student Success System on the navbar of the course you want to review.
Note In order to see the Student Success System link, the following conditions must be met: you must have course-level access to the Student Success System, the course must be added to the system by an administrator, and the course status must be Active in the system. If you do not see Student Success System on your course navbar, contact your Student Success System administrator.
