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Catching Absenteeism Early and Often: Introducing the AEI Absence Forecast

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Bibliographic Details
Title: Catching Absenteeism Early and Often: Introducing the AEI Absence Forecast
Language: English
Authors: Nat Malkus, Sam Hollon, American Enterprise Institute (AEI)
Source: American Enterprise Institute. 2026.
Availability: American Enterprise Institute. 1150 Seventeenth Street NW, Washington, DC 20036. Tel: 202-862-5800; Fax: 202-862-7177; Web site: http://www.aei.org
Peer Reviewed: N
Page Count: 6
Publication Date: 2026
Document Type: Reports - Descriptive
Descriptors: Attendance, Prediction, At Risk Students, Models, Material Development, School Districts, Data Use
Abstract: Prior research shows that models can predict students' likelihood of becoming chronically absent early in the school year using the data that school districts typically have. The AEI Absence Forecast operationalizes these models in a tool that school and district officials can use to identify the students most likely to benefit from interventions to improve attendance. The AEI Absence Forecast is designed to be private, transparent, simple, and free, and it uses data that districts already routinely collect so that school officials can intervene early and often.
Abstractor: ERIC
Entry Date: 20260101
Accession Number: ED681608
Database: ERIC
Description
Abstract:Prior research shows that models can predict students' likelihood of becoming chronically absent early in the school year using the data that school districts typically have. The AEI Absence Forecast operationalizes these models in a tool that school and district officials can use to identify the students most likely to benefit from interventions to improve attendance. The AEI Absence Forecast is designed to be private, transparent, simple, and free, and it uses data that districts already routinely collect so that school officials can intervene early and often.