A comparative analysis of error correction procedures for skill acquisition in autistic students

Purpose The purpose of this study is to compare the effectiveness of two error correction methods – Model Prompt Switch Repeat (MPSR) and Error Statement, Modelling and Active student Response (ESMASR) – for teaching new skills to autistic students. This study evaluates which method results in faster and more effective skill mastery, measured by the number of trials needed to reach the mastery criterion, and assesses long-term retention of learned skills. Design/methodology/approach Using a multiple-treatment reversal design within an Applied Behaviour Analysis framework, this study involved four participants aged 13–15 years. The participants were taught using both MPSR and ESMASR methods, with data collected on how quickly they mastered new skills. Maintenance data were gathered at one and four weeks after teaching to assess skills retention. Findings This study found that the MPSR method led to faster and more sustained skill acquisition than ESMASR for most participants. MPSR demonstrated better long-term retention in several cases. These results emphasise the effectiveness of structured error correction procedures in improving learning outcomes for autistic students. Research limitations/implications Because of the small sample size and focus on a specific educational setting, the findings of this study may not apply broadly. Future research should test these methods across a wider variety of learners and settings to ensure broader applicability and validation of the results. Practical implications This study’s findings offer practical strategies for educators working with autistic students, showing that structured error correction procedures like MPSR can be integrated into daily teaching to improve skill acquisition and retention. These strategies can also inform educator training and instructional planning. Social implications This study contributes to a more inclusive education system by offering evidence-based methods that help autistic students succeed. By identifying effective teaching techniques, this research supports efforts to ensure equal educational opportunities for neurodivergent learners. Originality/value This study fills a gap in research by comparing two specific error correction methods in an ABA setting, providing fresh insights into which strategies most effectively promote skill acquisition and long-term learning in autistic students. This study also offers practical guidance for educators seeking evidence-based methods to improve student outcomes.

Authors

Institutions

Publication Details

Journal
Tizard Learning Disability Review
Published
2025-02-12
DOI
https://doi.org/10.1108/tldr-07-2024-0030
Citations
2
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
2.86
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A comparative analysis of error correction procedures for skill acquisition in autistic students

Athanasios Vostanis, Stephanie Meyer, Marlizanne Gouws, Konstantinos Rizos et al.
2 citations
Tizard Learning Disability Review
Autism Spectrum Disorder Research
2.86
article

A comparative analysis of error correction procedures for skill acquisition in autistic students

Athanasios Vostanis, Stephanie Meyer, Marlizanne Gouws, Konstantinos Rizos, Sarah Fattal
article en
2 citations

Abstract

Purpose The purpose of this study is to compare the effectiveness of two error correction methods – Model Prompt Switch Repeat (MPSR) and Error Statement, Modelling and Active student Response (ESMASR) – for teaching new skills to autistic students. This study evaluates which method results in faster and more effective skill mastery, measured by the number of trials needed to reach the mastery criterion, and assesses long-term retention of learned skills. Design/methodology/approach Using a multiple-treatment reversal design within an Applied Behaviour Analysis framework, this study involved four participants aged 13–15 years. The participants were taught using both MPSR and ESMASR methods, with data collected on how quickly they mastered new skills. Maintenance data were gathered at one and four weeks after teaching to assess skills retention. Findings This study found that the MPSR method led to faster and more sustained skill acquisition than ESMASR for most participants. MPSR demonstrated better long-term retention in several cases. These results emphasise the effectiveness of structured error correction procedures in improving learning outcomes for autistic students. Research limitations/implications Because of the small sample size and focus on a specific educational setting, the findings of this study may not apply broadly. Future research should test these methods across a wider variety of learners and settings to ensure broader applicability and validation of the results. Practical implications This study’s findings offer practical strategies for educators working with autistic students, showing that structured error correction procedures like MPSR can be integrated into daily teaching to improve skill acquisition and retention. These strategies can also inform educator training and instructional planning. Social implications This study contributes to a more inclusive education system by offering evidence-based methods that help autistic students succeed. By identifying effective teaching techniques, this research supports efforts to ensure equal educational opportunities for neurodivergent learners. Originality/value This study fills a gap in research by comparing two specific error correction methods in an ABA setting, providing fresh insights into which strategies most effectively promote skill acquisition and long-term learning in autistic students. This study also offers practical guidance for educators seeking evidence-based methods to improve student outcomes.

Tizard Learning Disability ReviewVol. 30(2)
University of Kent (GB)
Openalex Percentile: Top 12%
Autism Spectrum Disorder Research
2.86
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.