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Early Warning Systems

There are students in every district who are giving early clues of dropping out. 

Using readily available school data, Early Warning Systems (EWS) can identify students who are at risk of dropping out, allowing educators to act early with appropriate interventions so at-risk students can succeed in school.

UPD works with districts to tailor the EWS model to meet their unique needs. We use key indicators that assist schools and districts in predicting which students may be in need of interventions to keep them on track for graduation.

Our implementation method uses the following strategy:

  • DEFINE
    • THE OUTCOME YOU WANT TO PREDICT
  • INTEGRATE
    • DATA LIKELY TO PREDICT THE OUTCOME (DROP-OUT, HS READINESS)
  • ANALYZE
    • DATA TO FIND FACTORS AND CUT POINTS FOR INTERVENTION
  • VISUALIZE
    • DATA INTO ACCESSIBLE REPORTS
  • INTEGRATE
    • EW INFORMATION INTO CONVERSATIONS ON INSTRUCTION AND INTERVENTION
  • REVISE
    • ANALYSIS OF EW FACTORS BASED ON NEW DATA

2014 11 EWS target map 01-01

2014 11 EWS target map 02-02

  • We use real-time predictive metrics for key indicators including likelihood of graduation, future grade level performance, college readiness, and college completion.
  • Our custom dashboards give immediate, easy-to-read visual access to various levels of data to help users quickly identify areas of concern.
  • Users can track and monitor student response to and progress in the interventions employed based on student need.
  • Implementation assistance from on-the-ground project managers and support staff to help conduct pilots, make necessary adjustments to design, and operationalize new processes.
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