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A literature review: Mathematics vocabulary intervention for students with mathematics difficulty.

  • Published In: School Science & Mathematics, 2025, v. 125, n. 1. P. 6 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Lariviere, Danielle O.; Arsenault, Tessa L.; Payne, S. Blair 3 of 3

Abstract

This paper details a literature review of mathematics vocabulary intervention studies for students with mathematics difficulty. The primary aim was to identify instructional practices that support mathematics vocabulary development. We conducted a database search to identify mathematics intervention studies either focused exclusively on vocabulary or with an embedded vocabulary component. Ultimately, 13 studies with participants from kindergarten to Grade 8 were included in the review. The majority of included studies had dual foci on vocabulary and other mathematics content, including whole number computation, word problem solving, fractions, algebra, or geometry. All studies that measured mathematics vocabulary performance indicated positive student outcomes. In addition, multiple studies indicated positive effects on measures of other mathematics content beyond mathematics vocabulary knowledge. We noted six instructional practices across studies that bolstered the mathematics vocabulary performance of students with mathematics difficulty. From most to least common, these practices included formal vocabulary use, explicit instruction, use of representations, repeated exposures, pre‐teaching, and graphic organizers. Implications are addressed for both researchers and practitioners. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:School Science & Mathematics. 2025/02, Vol. 125, Issue 1, p6
  • Document Type:Literature Review
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2025
  • ISSN:0036-6803
  • DOI:10.1111/ssm.12684
  • Accession Number:183823214
  • Copyright Statement:Copyright of School Science & Mathematics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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