Cognitive subtypes of mathematics learning difficulties in primary education

Area of Science:

• Cognitive Psychology
• Developmental Psychology
• Educational Psychology

Background:

• Mathematics learning difficulties (MLD) are often viewed as heterogeneous.
• Previous research often used predefined subtypes based on co-occurring disorders.
• A data-driven approach offers a novel way to explore MLD heterogeneity.

Purpose of the Study:

• To identify distinct cognitive subtypes within a group of children with MLD.
• To determine if a data-driven clustering approach can reveal MLD heterogeneity.
• To inform individualized intervention strategies for MLD.

Main Methods:

• A sample of 226 children (ages 3rd-6th grade) with MLD participated.
• Children completed number-specific and general cognitive assessments.
• Factor analysis followed by K-means clustering was used to classify performance.

Main Results:

• Six distinct cognitive subtypes of MLD were identified.
• These subtypes included weak number line, weak approximate number system (ANS), spatial difficulties, access deficits, no numerical deficit, and a garden-variety group.
• The findings support the heterogeneity of MLD.

Conclusions:

• MLD is a heterogeneous disorder with identifiable cognitive subtypes.
• Data-driven classification methods can effectively reveal these subtypes.
• Understanding these subtypes is crucial for developing targeted interventions for children with MLD.