Distance and Inclusive Teaching of School Computer Science: Instructional Practices and Learning Experiences

2026

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.18178/ijiet.2026.16.5.2585
Data confidence 85 high
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Abstract

This study examines the effectiveness of teaching Computer Science (CS) skills to children with Autism Spectrum Disorder (ASD) through distance education within an inclusive education. Twelve students, aged 10–12 years, participated in a twenty-week online platform using Code.org. A single-case descriptive and explanatory approach was used. Data were collected through observation, teacher feedback, and analysis of student task performance. Quantitative results showed that 75% of participants demonstrated measurable improvement in task completion rates, and the average score on programming-related exercises increased by 21% between the first and final sessions. Qualitative findings revealed increased engagement, motivation, and independence in solving algorithmic tasks, although some challenges persisted in sustaining attention and managing sensory overload. The results indicate that children with ASD can successfully participate in CS learning through structured and visually supported distance education. The study adds to current discussions about inclusive digital pedagogy and offers practical guidance for educators designing adaptive online CS instruction for students with ASD.