Differences in Cognitive and Mathematical Skills of Students with a Mathematical Learning Disability and Those with Low Achievement in Mathematics: A Systematic Literature Review

The differences in the math learning process and the underlying cognitive skills of students with a mathematical learning disability and those who are low achieving in math are important to consider when supporting their learning. Still, there is a lack of a comprehensive overview comparing these two groups’ cognitive skill deficits that are responsible for math learning difficulties. This systematic literature review aimed to fill this gap. This study revealed differences in the cognitive profiles of students with a mathematical learning disability and low-achieving students. Students with a mathematical learning disability showed significantly weaker domain-general cognitive skills than the control groups across most areas, while low-achieving students exhibited less pronounced differences compared to the controls. Additionally, students with a mathematical learning disability performed worse than low-achieving students in working memory and processing speed. In terms of domain-specific cognitive skills, both sample groups struggled with calculation compared to typical achievers, with students with a mathematical learning disability displaying weaker basic calculation skills than low achievers.

Authors

Institutions

Publication Details

Journal
Education Sciences
Published
2025-03-14
DOI
https://doi.org/10.3390/educsci15030361
Citations
4
Primary Topic
Cognitive and developmental aspects of mathematical skills
Type
article
Field-Weighted Citation Impact
10.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Differences in Cognitive and Mathematical Skills of Students with a Mathematical Learning Disability and Those with Low Achievement in Mathematics: A Systematic Literature Review

Evelyn Kiive, Triin Kivirähk‐Koor
4 citations
Education Sciences
Cognitive and developmental aspects of mathematical skills
10.52
article

Differences in Cognitive and Mathematical Skills of Students with a Mathematical Learning Disability and Those with Low Achievement in Mathematics: A Systematic Literature Review

Evelyn Kiive, Triin Kivirähk‐Koor
article en
4 citations

Abstract

The differences in the math learning process and the underlying cognitive skills of students with a mathematical learning disability and those who are low achieving in math are important to consider when supporting their learning. Still, there is a lack of a comprehensive overview comparing these two groups’ cognitive skill deficits that are responsible for math learning difficulties. This systematic literature review aimed to fill this gap. This study revealed differences in the cognitive profiles of students with a mathematical learning disability and low-achieving students. Students with a mathematical learning disability showed significantly weaker domain-general cognitive skills than the control groups across most areas, while low-achieving students exhibited less pronounced differences compared to the controls. Additionally, students with a mathematical learning disability performed worse than low-achieving students in working memory and processing speed. In terms of domain-specific cognitive skills, both sample groups struggled with calculation compared to typical achievers, with students with a mathematical learning disability displaying weaker basic calculation skills than low achievers.

Education SciencesVol. 15(3)
University of Tartu (EE)
Openalex Percentile: Top 2%
Cognitive and developmental aspects of mathematical skills
10.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.