Computational Thinking and Learning Disabilities: A Systematic Review

This paper presents a systematic literature review on how computational thinking is approached for individuals with learning disabilities, focusing on dyslexia, autism spectrum disorder, and attention-deficit/hyperactivity disorder. The findings emphasize benefits such as enhanced cognitive skills, increased engagement, autonomy in problem-solving, and improved concept retention. However, gaps remain, including a lack of conceptual clarity around computational thinking; the absence of consensus on assessment methods within the analyzed studies, varying evaluation approaches depending on the teaching strategies used; and a scarcity of studies on specific disabilities like dyscalculia.

Authors

Publication Details

Published
2025-07-20
DOI
https://doi.org/10.5753/wei.2025.8974
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Computational Thinking and Learning Disabilities: A Systematic Review

Laura Quevedo Jurgina, Ana Marilza Pernas, Tatiana Aires Tavares, Simone André da Costa Cavalheiro et al.
Teaching and Learning Programming
article

Computational Thinking and Learning Disabilities: A Systematic Review

Laura Quevedo Jurgina, Ana Marilza Pernas, Tatiana Aires Tavares, Simone André da Costa Cavalheiro, Luciana Foss, Lui Gill Aquini, Júlia Veiga, Kayara Pereira, Leomar da Rosa
article en

Abstract

This paper presents a systematic literature review on how computational thinking is approached for individuals with learning disabilities, focusing on dyslexia, autism spectrum disorder, and attention-deficit/hyperactivity disorder. The findings emphasize benefits such as enhanced cognitive skills, increased engagement, autonomy in problem-solving, and improved concept retention. However, gaps remain, including a lack of conceptual clarity around computational thinking; the absence of consensus on assessment methods within the analyzed studies, varying evaluation approaches depending on the teaching strategies used; and a scarcity of studies on specific disabilities like dyscalculia.

Openalex Percentile: Top 77%
Teaching and Learning Programming
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.

Computational Thinking and Learning Disabilities: A Systematic Review — Laura Quevedo Jurgina, Ana Marilza Pernas, et al. · (2025) | TGRS Research Map | TGRS