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
- Laura Quevedo Jurgina (ORCID: https://orcid.org/0000-0002-3050-8855)
- Ana Marilza Pernas (ORCID: https://orcid.org/0000-0001-8142-817X)
- Tatiana Aires Tavares (ORCID: https://orcid.org/0000-0003-3877-301X)
- Simone André da Costa Cavalheiro (ORCID: https://orcid.org/0000-0002-7442-7379)
- Luciana Foss (ORCID: https://orcid.org/0000-0002-0473-4111)
- Lui Gill Aquini (ORCID: https://orcid.org/0009-0009-8852-2498)
- Júlia Veiga
- Kayara Pereira
- Leomar da Rosa
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