Meta-Analysis of Mathematics Interventions for Learners with Autism Spectrum Disorder

Muhammed A. Karal, Paul J. Riccomini

Research output: Contribution to journalArticlepeer-review

Abstract

Students with autism spectrum disorder (ASD) require effective academic interventions tailored to their distinctive learning characteristics. This is especially important in mathematics since approximately a quarter of learners with ASD have a mathematics learning disability. This meta-analysis examined the effectiveness of mathematics interventions for students with ASD by synthesizing and analyzing 33 studies that met inclusion criteria. The findings indicate moderate to large Tau-U single-case effect sizes (ES ¼ .91) for the interventions. Five distinct intervention approaches were identified: multiple representations, video modeling, schema-based instruction, drill and practice, and multiple intervention components. Furthermore, these interventions were effective across various learner characteristics, mathematical performances, settings, and implementers. The implications for research and practice are discussed.

Original languageEnglish (US)
Pages (from-to)257-273
Number of pages17
JournalEducation and Training in Autism and Developmental Disabilities
Volume59
Issue number3
StatePublished - Sep 2024

All Science Journal Classification (ASJC) codes

  • Education
  • Developmental and Educational Psychology

Fingerprint

Dive into the research topics of 'Meta-Analysis of Mathematics Interventions for Learners with Autism Spectrum Disorder'. Together they form a unique fingerprint.

Cite this