Catching Absenteeism Early and Often: Introducing the AEI Absence Forecast

Saved in:
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
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
Header DbId: eric
DbLabel: ERIC
An: ED681608
AccessLevel: 3
PubType: Report
PubTypeId: report
PreciseRelevancyScore: 0
IllustrationInfo
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
ResultId 1