The Student Success System works as an early intervention system using predictive analytics and reporting. You can identify at-risk learners and provide actionable insight to instructors within their regular workflows.
Before you can use Brightspace Student Success System, administrators must first do the following:
- Add target courses to the system to generate predictions of learner success, using historical courses for comparison. (Historical courses are prior offerings of the target courses that are representative of the courses in terms of teaching and learning expectations.)
- Create and configure predictive models for target courses in the administrative Brightspace Student Success System interface.
Once Brightspace Student Success System is set up and configured, you can use it to monitor predictions of learner success levels for active and enabled courses on a weekly basis in five possible domains: course access, content access, social learning, assessments, and preparedness. The weekly predictions produce a success index for every learner in the course, letting you visualize and compare potential success rates.
All learners in the course display in a list on a class dashboard, as well as on their own personal dashboard that displays data on their performance in the course. A win-loss chart provides an at-a-glance visualization of a learner's performance in comparison to the rest of the class in all the pre-selected domains. Detailed and interactive visualizations are available for the success index, social learning domain, and assessments domain.
The predicted grade metric displays by default in the User Progress Summary section and Grades Progress section. It can also be added to the Class Progress dashboard as a performance indicator.