Catching Absenteeism Early and Often: Introducing the AEI Absence Forecast
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| 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 |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED681608 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: ED681608 AccessLevel: 3 PubType: Report PubTypeId: report PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Catching Absenteeism Early and Often: Introducing the AEI Absence Forecast – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Nat+Malkus%22">Nat Malkus</searchLink><br /><searchLink fieldCode="AR" term="%22Sam+Hollon%22">Sam Hollon</searchLink><br /><searchLink fieldCode="AR" term="%22American+Enterprise+Institute+%28AEI%29%22">American Enterprise Institute (AEI)</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22American+Enterprise+Institute%22"><i>American Enterprise Institute</i></searchLink>. 2026. – Name: Avail Label: Availability Group: Avail Data: American Enterprise Institute. 1150 Seventeenth Street NW, Washington, DC 20036. Tel: 202-862-5800; Fax: 202-862-7177; Web site: http://www.aei.org – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: N – Name: Pages Label: Page Count Group: Src Data: 6 – Name: DatePubCY Label: Publication Date Group: Date Data: 2026 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Reports - Descriptive – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Attendance%22">Attendance</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction%22">Prediction</searchLink><br /><searchLink fieldCode="DE" term="%22At+Risk+Students%22">At Risk Students</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Material+Development%22">Material Development</searchLink><br /><searchLink fieldCode="DE" term="%22School+Districts%22">School Districts</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Use%22">Data Use</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. – Name: AbstractInfo Label: Abstractor Group: Ab Data: ERIC – Name: DateEntry Label: Entry Date Group: Date Data: 20260101 – Name: AN Label: Accession Number Group: ID Data: ED681608 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED681608 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 6 Subjects: – SubjectFull: Attendance Type: general – SubjectFull: Prediction Type: general – SubjectFull: At Risk Students Type: general – SubjectFull: Models Type: general – SubjectFull: Material Development Type: general – SubjectFull: School Districts Type: general – SubjectFull: Data Use Type: general Titles: – TitleFull: Catching Absenteeism Early and Often: Introducing the AEI Absence Forecast Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: American Enterprise Institute (AEI) – PersonEntity: Name: NameFull: Nat Malkus – PersonEntity: Name: NameFull: Sam Hollon IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Type: published Y: 2026 Titles: – TitleFull: American Enterprise Institute Type: main |
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