Doctoral student David Alexandro helping to predict and prevent dropouts.

In more than 30 states across the nation today, school districts are using what is known as an Early Warning System (EWS) to predict students’ academic milestones and specific student outcomes, including identifying those students who may be most likely to drop out. Connecticut is now on the cusp of joining them, thanks in part to the ongoing efforts of David Alexandro, a doctoral student in the Neag School’s measurement, evaluation, and assessment program, and his colleagues at the Connecticut State Department of Education (CSDE).


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