Montana Early Warning System (EWS)
The Montana EWS model uses readily available school, student, and other live data to identify students who are at risk of dropping out of school before they drop out. Students are identified early on so that action can be taken by school officials to help keep the student in school. The Montana EWS is a logistic regression model that uses attendance, behavior, grades, mobility, and other data to determine if a student is at risk. The model will identify students in grades 6-12 that are at risk and also provide indicators for why each student is at risk.
Since the Montana EWS uses live data it can be run at any time during the school year or summer. What this does is allow educators to see how a student is progressing or regressing over time. Tracking over time also allows educators to track any interventions they are administering with students to determine if the interventions are in fact working.
School reports are also available on the Montana EWS that allow educators to track their school-wide EWS results over time. The school reports also allow schools to compare their results to the statewide average results to get an idea of where their school is at.
EWS User Guide: Montana Early Warning system – Required Data Setup 12/16. This is a link to documentation inside Campus Community* and is for districts using the District Edition of Infinite Campus as their primary student information system. Please refer to the “Required Data Setup” section by clicking on that hyperlink at the top of the page, just under the title.
If you have further EWS questions please contact: Kaitlyn Greenhalgh K20 Data & Research Analyst Office of Public Instruction Kaitlyn.Greenhalgh@mt.gov 406-444-1610.