Computational Thinking and Learning Disabilities: A Systematic Review
Júlia Veiga da Silva, Lui Gill Aquini, Kayara Pereira, Simone André da Costa Cavalheiro, Luciana Foss, Leomar da Rosa, Laura Quevedo Jurgina, Tatiana Aires Tavares, Ana Marilza Pernas · 2025
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.