When your students succeed, so do you. But not all learners grasp course concepts at the same pace, and some may even become at risk of falling behind the class. Before you can support these students, identifying them is a crucial first step.
Join us for this brief demonstration of the predictive analytics and visual diagnostics in D2L’s Brightspace platform. We’ll highlight how these tools can help identify at-risk students and help them improve.
Discover how to:
- Interpret student learning patterns with intuitive dashboards
- Leverage workflows to quickly take action with disengaged students
- Use data to optimize course content and delivery over time