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Cited by 253

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Is the Supply of Mathematics and Science Teachers Sufficient?

Ingersoll, Richard M., Perda, David·2010·American Educational Research Journal

Abstract

This study seeks to empirically ground the debate over mathematics and science teacher shortages and evaluate the extent to which there is, or is not, sufficient supply of teachers in these fields. The authors’ analyses of nationally representative data from multiple sources show that math and science are the fields most difficult to staff, but the factors behind these problems are complex. There are multiple sources of new teachers; those with education degrees are a minor source compared to those with degrees in math and science and the reserve pool. Over the past two decades, graduation requirements, student course taking, and teacher retirements have all increased for math and science, yet the new supply has more than kept pace. However, when preretirement teacher attrition is factored in, there is a much tighter balance between supply and demand. Unlike fields such as English, for math and science, there is not a large cushion of new supply relative to losses—resulting in staffing problems in schools with higher turnover.

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Metadata

Authors
Ingersoll, R. M., & Perda, D.
Venue
American Educational Research Journal
Published
2010-09
Volume
47
Issue
3
Pages
563-594
ISSN
  • 0002-8312 (ISSN-L)
  • 1935-1011
OpenAlex
W2106992060
Cited by
253
References
1
FWCI
69.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Is the Supply of Mathematics and Science Teachers Sufficient? https://app.cochat.ai/papers/10.3102/0002831210370711
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Ingersoll, R. M., & Perda, D. (2010). Is the Supply of Mathematics and Science Teachers Sufficient? American Educational Research Journal. https://doi.org/10.3102/0002831210370711

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.