Emergent math difficulties among English learners: can the odds be reduced?. Issue 1 (2nd January 2023)

• Record Type: Journal Article
• Authors: Swanson, H. Lee; Arizmendi, Genesis D.; Li, Jui-Teng
• Is Part Of: Child neuropsychology. Volume 29:Issue 1(2023)
• Page Start: 136
• Page End: 164
• Publication Date: 2023-01-02
• Subjects: Math disabilities -- working memory -- English learners -- cognitive processes -- late-emerging; Pediatric neuropsychology -- Periodicals; Adolescent psychology -- Periodicals; Child development deviations -- Periodicals; Child psychology -- Periodicals; 618.92805
• DOI: 10.1080/09297049.2022.2073987
• Languages: English
• ISSNs: 0929-7049

Abstract

ABSTRACT: Solving word problems in mathematics presents difficulties for many English learners (ELs), including those who use Spanish as a home language. In the early stage of learning to solve mathematics word problems, some children, including ELs, experience difficulties. By English status, EL refers to those children whose home language was Spanish while in the process of developing English at school. Math difficulties (MD) refers to those children with low normative mathematical problem-solving scores in both English and Spanish. The purpose of this study was to determine those measures that increase the odds of identifying EL children with emergent MD. Elementary school children (grades 1, 2, and 3) were administered a battery of math, vocabulary, reading, and cognitive measures (short-term memory [STM], inhibition, working memory [WM]) in both Spanish (L1) and English (L2) in Year 1 and again one year later. Multilevel growth modeling compared MD children identified one year later who manifested MD to children who were average math achievers or poor math achievers across the two testing waves (year 1 and year 2). The results indicated that significant growth parameters (i.e., measures of estimation, WM) increased the odds of identifying emergent MD relative to children with Persistent math deficits and average achievers. The results were discussed in terms of a multidimensional model that taps domain-specific skills and general cognitive processes that increase the odds of identifying later math difficulties.