Supplementary information files for “The nature of order processing deficits in developmental dyscalculia: the influences of familiarity and the count-list”

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Children with developmental dyscalculia often show impaired performance on number order processing tasks. Recent findings suggest these deficits are not general in nature, but instead specific to certain kinds of sequences. In particular, one proposal is that dyscalculic children struggle specifically to understand that “in order” can refer to sequences outside of the (ascending-consecutive) count-list (e.g., 1-3-5 is in order). However, previous findings in support of this view were limited by (i) only considering ascending sequences and (ii) not accounting for other factors known to influence order processing performance, such as sequence familiarity. To address this, the present study compared a control ( n = 28) and dyscalculic group ( n = 12), aged between 7-12 years, across ascending and descending sequences varying in familiarity. As expected, dyscalculic children showed impaired performance on ascending non-consecutive sequences (e.g., 1-3-5) but not on ascending consecutive sequences (e.g., 1-2-3). Notably, however, this deficit appeared to remain only for unfamiliar sequences (e.g., 2-5-8) and not familiar ones (e.g., 2-4-6), although this interaction was non-significant. Moreover, dyscalculic children displayed typical performance across both consecutive (e.g., 5-4-3) and non-consecutive (e.g., 5-3-1) descending sequences, neither of which match the traditional count-list. Accordingly, although order processing deficits in developmental dyscalculia do appear specific in nature, they are not necessarily specific to non-count-list sequences.

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Teachers’ Self-Efficacy in Dyscalculia: Development and Psychometric Validation of a New Scale

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The aim of this study is to develop a valid and reliable scale for measuring the self-efficacy of primary school and mathematics teachers regarding dyscalculia. Grounded in Bandura’s Social Cognitive Theory, the study followed established scale development procedures. In the initial phase, a pool of 42 items was generated to assess teachers’ self-efficacy regarding dyscalculia. The items were reviewed by a panel of seven experts in the fields of psychometrics, mathematics education, special education, and psychology to ensure content validity. Based on expert evaluations, four items were removed due to overly technical phrasing that could lead to misinterpretation, reducing the pool to 38 items. Subsequently, Exploratory Factor Analysis (EFA) conducted with 273 teachers indicated that four additional items exhibited inadequate factor loadings or problematic cross-loadings; these items were also excluded. The resulting Dyscalculia Self-Efficacy Scale (DSES) comprises 34 items organized into four factors: “Dyscalculia Symptoms”, “Providing Psychological Support to Children with Dyscalculia”, “Diagnosing Dyscalculia”, “Providing Support in the Teaching Process”. Confirmatory Factor Analysis conducted with a separate sample of 242 teachers yielded strong model fit indices, supporting the construct validity of the scale. The overall scale demonstrated high internal consistency (Cronbach’s α = 0.980, McDonald’s ω = 0.980). Correlation analyses with established instruments provided evidence of convergent and discriminant validity. The findings indicate that the DSES is a valid and reliable instrument for assessing teachers’ self-efficacy regarding dyscalculia.

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Many children are suffering from an undiagnosed developmental condition which affects their ability to learn math

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A team of experts from the School of Psychology at Queen’s University Belfast, led by Dr Kinga Morsanyi, carried out research on the prevalence of specific learning disorder in mathematics (SLDM), which is also known as dyscalculia.

The researchers studied the mathematics performance of 2,421 primary school children over a number of school years. Although the researchers expect that the number of pupils with dyscalculia is similar to those with dyslexia, of the 2,421 children studied, 108 children had received an official diagnosis of dyslexia, but just one child had officially been diagnosed with dyscalculia prior to the study. Based on the results of the study, the researchers actually identified 112 children who are likely to have the condition.

Diagnosis of dyscalculia

Dr Morsanyi explains: “In society, there is sadly a widespread notion that you need a special talent to be good at maths, and that struggling with maths is normal for some people, but this is not the case and it’s not something we would accept if a pupil was unable to read.

“Our study shows that in almost all cases, children who appear to have dyscalculia are not being diagnosed. Within the sample of children with dyscalculia, 80 per cent of the children have other developmental conditions, such as dyslexia or speech and language difficulties, and as the current practice is to assign one diagnostic label to each child, this could partially explain why mathematics difficulties are so often ignored.”

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Review of the Research Literature on Dyscalculia: from Genetic Genealogy to Adaptive Teaching Tools

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Dyscalculia is a common neurodevelopmental disorder characterized by difficulties in processing numerical information, understanding quantitative concepts, and performing simple mathematical calculations, and is seen in approximately 3 to 7 percent of children. This article reviews 61 studies between 2006 and 2025 to analyse the strategies and challenges of cognitive, neurological, and technological interventions. The results show that dyscalculia is a heterogeneous disorder and is associated with problems such as poor working memory, attention, cognitive inhibition, and math anxiety. Brain imaging findings such as fMRI show reduced activity in areas related to number perception, such as the interparietal sulcus and angular gyrus. Differences in the brain networks of children with dyscalculia can also help identify specific cognitive profiles. Four areas of intervention are proposed, including structured instruction, adaptive digital tools, early screening, and neurophysiological interventions (such as brain stimulation). Tools such as Calcularis and EDSense are effective in improving numerical skills and reducing anxiety. However, children with co-occurring disorders such as dyslexia or ADHD respond less well to interventions. Genetic studies also suggest genetic overlap between these disorders and deletions of genes such as 15q11.2. Finally, the need to design multi-layered, personalized interventions and use new technologies is emphasized to map out a more effective path to identifying and treating dyscalculia.

Why is math harder for some kids? Brain scans offer clues

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When given simple math problems, kids with math learning disabilities in a new study were less cautious about giving their answers and did not slow down after making errors compared with kids with typical math skills. But these differences disappeared when those same kids were given problems with dots to represent numbers instead of Arabic number symbols, researchers report February 9 in the Journal of Neuroscience.