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Direct linkSarika Kewalramani; Kelly-Ann Allen; Erin Leif; Andrea Ng – Journal of Autism and Developmental Disorders, 2024
This scoping review synthesises the current research into robotics technologies for promoting social-emotional learning in children with autism spectrum disorder. It examines the types of robotics technologies employed, their applications, and the gaps in the existing literature. Our scoping review adhered to the Preferred Reporting Items for…
Descriptors: Robotics, Social Emotional Learning, Autism Spectrum Disorders, Children
Wenjun Zhong; Jianghua Luo; Lihong Luo; Ya Lyu – Journal of Computer Assisted Learning, 2025
Background: Children with autism often face challenges in developing social-emotional skills, which are essential for their overall growth and social integration. Social robots have emerged as promising tools to support these skills; however, their effectiveness and educational applications remain uncertain, with existing research lacking…
Descriptors: Autism Spectrum Disorders, Children, Robotics, Social Emotional Learning
Sani-Bozkurt, Sunagül; Bozkus-Genc, Gulden – International Journal of Disability, Development and Education, 2023
With technological developments in the 21st century, robot applications have proven to be beneficial in providing some opportunities to help with teaching numerous skills such as joint attention and social skills to children with Autism Spectrum Disorder (ASD). However, in the studies investigating the effects of robots on joint attention (JA) in…
Descriptors: Robotics, Attention, Autism Spectrum Disorders, Skill Development
Download full textMohammad A. Beirat; Ahmad Algolaylat; Hussein Al Njadat; Bassam AlAbdallat; Alaa K. Al-Makhzoomy – Educational Process: International Journal, 2025
Background/purpose: This paper systematically reviews current advancements in AI-based diagnostic tools and assistive technologies, analyzing their influence on the early detection, treatment, and educational support of autism spectrum disorders (ASDs). The review aims to identify both the benefits and challenges of incorporating these…
Descriptors: Artificial Intelligence, Assistive Technology, Autism Spectrum Disorders, Clinical Diagnosis
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
Yuqin Yang; Linbaiyu Chen; Wenmeng He; Daner Sun; Sdenka Zobeida Salas-Pilco – International Journal of Artificial Intelligence in Education, 2025
This paper provided a review of 210 studies on AI-enhanced special education from 2013 to 2023. Through bibliometric analysis, this review aimed to explore trends, focus areas, developments, and evolving themes of the field of AI for enhancing special education. Several noteworthy findings emerged from our analysis. The trend analysis of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Special Education, Trend Analysis
Laura Santos; Silvia Annunziata; Alice Geminiani; Alessia Ivani; Alice Giubergia; Daniela Garofalo; Arianna Caglio; Elena Brazzoli; Rossella Lipari; Maria Chiara Carrozza; Emilia Ambrosini; Ivana Olivieri; Alessandra Pedrocchi – Review Journal of Autism and Developmental Disorders, 2025
Robotic therapies are receiving growing interest in the autism field, especially for the improvement of social skills of children, enhancing traditional human interventions. In this work, we conduct a scoping review of the literature in robotics for autism, providing the largest review on this field from the last five years. Our work underlines…
Descriptors: Robotics, Autism Spectrum Disorders, Intervention, Program Effectiveness
