Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks, Snapshot

Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks, Snapshot

Published: Jul 06, 2020
Publisher: Regional Educational Laboratory Mid-Atlantic
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Authors

John Hotchkiss

Phil Killewald

Pittsburgh Public Schools (PPS), the Propel Schools charter network, and the Allegheny County Department of Human Services (DHS) want to better identify students at risk for academic problems in the near term. The stakeholders partnered with the Regional Education Laboratory Mid-Atlantic to develop an approach for identifying at-risk students using school data linked with data on child welfare events, justice system involvement, and other human services involvement and public benefits receipt. Identifying the students most likely to have certain types of academic problems in the near term can support an early warning system that allows educators and human services staff to better target resources and lessen risks before they become more serious.

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