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Fact Sheet/Infographic/FAQ
Simple early warning system vs. computer algorithms: Does one more accurately identify students at near-term academic risk?
REL Mid-Atlantic
Publication date:
November 2021
Summary
By accurately identifying students at risk of near-term academic problems, districts can target services for these students to prevent problems before they lead to even more serious consequences, such as dropping out of school. A recent REL Mid-Atlantic study assessed two approaches for identifying students with near-term academic risk.
