Unlabelled: Math learning disability (MLD) is a heterogeneous condition characterized by severe and persistent difficulties in learning math, including difficulties in learning multiplication facts.

Objective: In this article, we compared the responses of two MLD children to multiplication facts training.

Methods: One of the children was a 9 year-old girl (HV) who presented mild math difficulties associated with lower accuracy of the Approximate Number System (ANS). The other was an 11 year-old boy (GA) who presented severe math difficulties related to impaired phonological processing due to developmental dyslexia. Both children underwent an intervention for multiplication, comprising conceptual instructions and retrieval practice of the times table.

Results: HV's accuracy and response speed improved consistently on both training tasks, while GA's accuracy improved on the Simple Calculation Task only. Error analyses indicated that, after training, HV produced fewer errors of the type "close miss", and GA produced less omission but more operand errors.

Conclusion: We argue that these differences between their responses to the training tasks were caused by differences in the mechanisms underlying their math difficulties. These results support the notion that individual specificities regarding math disabilities should be taken into account during preparation of training interventions.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6200157PMC
http://dx.doi.org/10.1590/1980-57642018dn12-030006DOI Listing

Publication Analysis

Top Keywords

math difficulties
16
difficulties learning
8
training tasks
8
difficulties
6
math
6
heterogeneity math
4
difficulties implications
4
implications interventions
4
multiplication
4
interventions multiplication
4

Similar Publications

In this paper, a novel particle filter based on one-step smoothing is proposed for nonlinear systems with random one-step delay and missing measurements. Such problems are commonly encountered in networked control systems, where random one-step delay and missing measurements significantly increase the difficulty of dynamic state estimation. The particle filter is a nonlinear filtering method based on sequential Monte Carlo sampling.

View Article and Find Full Text PDF

Background And Objectives: Learning difficulties are frequently reported in children with neurofibromatosis type 1 (NF1), yet little is known about the extent and predictors of their academic functions across ages. We aimed to examine the developmental patterns of academic achievement in these children from childhood to adolescence and how these patterns differ across demographic and NF1-related disease factors.

Methods: This cross-sectional study integrated data of 1512 children with NF1 (mean age, 11.

View Article and Find Full Text PDF

A 3D decoupling Alzheimer's disease prediction network based on structural MRI.

Health Inf Sci Syst

December 2025

School of Mathematics and Computing, University of Southern Queensland, 487-535 West Street, Toowoomba, QLD 4350 Australia.

Purpose: This paper aims to develop a three-dimensional (3D) Alzheimer's disease (AD) prediction method, thereby bettering current predictive methods, which struggle to fully harness the potential of structural magnetic resonance imaging (sMRI) data.

Methods: Traditional convolutional neural networks encounter pressing difficulties in accurately focusing on the AD lesion structure. To address this issue, a 3D decoupling, self-attention network for AD prediction is proposed.

View Article and Find Full Text PDF

During batch fermentation, a variety of compounds are synthesized, as microorganisms undergo distinct growth phases: lag, exponential, growth-no-growth transition, stationary, and decay. A detailed understanding of the metabolic pathways involved in these phases is crucial for optimizing the production of target compounds. Dynamic flux balance analysis (dFBA) offers insight into the dynamics of metabolic pathways.

View Article and Find Full Text PDF

Previous research estimated a prevalence of 3.4% Cerebral Visual Impairment (CVI)-related visual problems within primary school children, potentially compromising students' performance. This study aimed to clarify how CVI-related visual difficulties relate to academic performance in standardized achievement tests.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!