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Eva Yin-han Chung; Kenneth Kuen-fung Sin; Daniel Hung-kay Chow – Journal of Autism and Developmental Disorders, 2025
Evidence-based robotic intervention programmes for children with autism spectrum disorder (ASD) have been limited. As yet, there is insufficient evidence to inform therapists, teachers, and service providers on effectiveness of robotic intervention to enhance social development and participation of children with ASD in a real context. This study…
Descriptors: Robotics, Intervention, Children, Autism Spectrum Disorders
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Gila Apelboim-Dushnitzky; Oren Tova – Journal of Educational Computing Research, 2025
This study tested the potential of a technological intervention procedure for promoting letter-naming and initial-phoneme detection skills among preschoolers at risk for Specific Learning Disorder. The study rational is based on evidence for paired associated learning of visual-verbal stimuli, integrated with the use of a tangible technological…
Descriptors: Preschool Children, Dyslexia, At Risk Students, Alphabets
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Liu Yifu; Ma Yan; Huang Libing; Xiao Chunling; Ding Tao – Education and Information Technologies, 2025
Interventions utilizing human-computer interaction (HCI) in autism rehabilitation have gained popularity, yet their efficacy has not been fully elucidated. This meta-analysis assessed 30 international studies from the past decade that employed HCIs for autism intervention. The findings revealed a moderate positive effect (g = 0.484) on improving…
Descriptors: Man Machine Systems, Interaction, Intervention, Autism Spectrum Disorders
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Merve Kasim; Yasemin Deringöl – Education and Information Technologies, 2025
The aim of this study is to investigate the impact of technology-supported mathematical modeling method on the mathematical skills of a fourth-grade student with Mathematical Learning Disabilities. The study group consists of a fourth-grade student. It was discovered that the student lacked numerical and logical skills compared to other students.…
Descriptors: Educational Technology, Technology Uses in Education, Grade 4, Mathematics Instruction
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Kyungbin Kwon; Thomas A. Brush; Keunjae Kim; Minhwi Seo – Journal of Educational Computing Research, 2025
This study examined the effects of embodied learning experiences on students' understanding of computational thinking (CT) concepts and their ability to solve CT problems. In a mixed-reality learning environment, students mapped CT concepts, such as sequencing and loops, onto their bodily movements. These movements were later applied to robot…
Descriptors: Thinking Skills, Computer Science Education, Robotics, Programming