Using Retention Metrics to Support At-Risk Online Students 2013 is a webinar dedicated to the use of data analytics and modeling to identify, predict and support at-risk online students, including:
- Mechanisms for obtaining data
- Data available to your institution
- Identifying at-risk students through analysis of predictive behaviors
- Conclusions that can and cannot be drawn from data about your retention and success initiatives
- Monitoring the interventions for effectiveness
- Using interventions to help reduce the risks
Who should Attend
Online program managers, Academic leaders, retention administrators and academic advisors.
