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ERIC Number: ED609342
Record Type: Non-Journal
Publication Date: 2020-Dec
Pages: 37
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: N/A
Available Date: N/A
An Approach to Using Student and Teacher Data to Understand and Predict Teacher Shortages. REL 2021-052
Reichardt, Robert; Klute, Mary; Stewart, Joshua; Meyer, Stephen
Regional Educational Laboratory Central
Addressing teacher shortages has been a persistent concern among leaders in schools, districts, state education agencies, and the federal government. This report describes an approach to identifying patterns of teacher shortages that was collaboratively developed by the Missouri Department of Elementary and Secondary Education and the Regional Educational Laboratory Central. The approach is implemented using widely available software. It can be adopted or adapted by education agencies that wish to understand and predict teacher shortages, including shortage trends in content and certification areas, in their own contexts. Education agencies may also use teacher shortage predictions to inform efforts to address inequities in students' access to excellent educators.
Regional Educational Laboratory Central. Available from: Institute of Education Sciences. 550 12th Street SW, Washington, DC 20202. Tel: 202-245-6940; Web site: https://ies.ed.gov/ncee/edlabs/regions/central/index.asp
Publication Type: Reports - Descriptive
Education Level: Elementary Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: National Center for Education Evaluation and Regional Assistance (ED); Regional Educational Laboratory Central (ED); Marzano Research
Identifiers - Location: Missouri
IES Funded: Yes
Grant or Contract Numbers: EDIES17C0005
Author Affiliations: N/A