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Cited by 823

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Early Identification and Interventions for Students With Mathematics Difficulties

Gersten, Russell, Jordan, Nancy C., Flojo, Jonathan R.·2005·Journal of Learning Disabilities

Abstract

This article highlights key findings from the small body of research on mathematics difficulties (MD) relevant to early identification and early intervention. The research demonstrates that (a) for many children, mathematics difficulties are not stable over time; (b) the presence of reading difficulties seems related to slower progress in many aspects of mathematics; (c) almost all students with MD demonstrate problems with accurate and automatic retrieval of basic arithmetic combinations, such as 6 + 3. The following measures appear to be valid and reliable indicators of potential MD in kindergartners: (a) magnitude comparison (i.e., knowing which digit in a pair is larger), (b) sophistication of counting strategies, (c) fluent identification of numbers, and (d) working memory (as evidenced by reverse digit span). These are discussed in terms of the components of number sense. Implications for early intervention strategies are explored.

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Metadata

Authors
Gersten, R., Jordan, N. C., & Flojo, J. R.
Venue
Journal of Learning Disabilities
Published
2005-07
Volume
38
Issue
4
Pages
293-304
ISSN
  • 0022-2194 (ISSN-L)
  • 1538-4780
OpenAlex
W2105771727
Cited by
823
References
1
FWCI
21.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Early Identification and Interventions for Students With Mathematics Difficulties. https://app.cochat.ai/papers/10.1177/00222194050380040301
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Gersten, R., Jordan, N. C., & Flojo, J. R. (2005). Early Identification and Interventions for Students With Mathematics Difficulties. Journal of Learning Disabilities. https://doi.org/10.1177/00222194050380040301

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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.