In this session, we will examine current theoretical frameworks, research projects, and empirical studies related to the design, implementation, and evaluation of early warning systems and targeted interventions and discuss their implications for policy and practice.
During the session you will exposed to research and application on how to:
- Use data to support predictions about your students’ abilities and actions.
- Support students at the first signs of dropout risk
- Make holistic inferences about what may cause students to drop out
- Intervene early enough to successfully improve an outcome
If you are unable to attend the webinar, be sure to register to receive a link to the recording.