Artificial intelligence in education and communication of young people with ASD
Article Sidebar
Main Article Content
Abstract
Artificial intelligence (AI) has emerged as one of the most promising technologies to transform inclusive educational processes, especially those aimed at young people with autism spectrum disorder (ASD). Its application in pedagogical environments offers new opportunities to enhance communication, social interaction, and autonomous learning. This study aims to analyze the role of AI as an educational and communicative tool for young people with ASD, highlighting its benefits, limitations, and projections in the school context. A literature review was conducted using scientific articles published in databases such as Scopus, ERIC, and Scielo between 2019 and 2024, applying inclusion criteria related to the use of AI in inclusive education, augmentative communication, and technology-based interventions for ASD. Findings show that AI supports personalized learning through adaptive platforms, virtual assistants, and augmentative and alternative communication (AAC) systems. It also improves social interaction by providing simulation and gamified environments that strengthen communicative skills. However, limitations include issues of access, teacher training, and ethical challenges regarding data privacy. AI is a promising and innovative resource in the educational and communicative process of young people with ASD, provided its implementation is supported by inclusive policies, teacher training, and family participation.
Downloads
Article Details
Section
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
How to Cite
References
Adako, O. P., Adeusi, O. C., & Alaba, P. A. (2024). Enhancing educational inclusivity for autistic children: The imperative of individualization and personalization in AI tools. Journal of Neurology and Neurological Disorders. https://www.researchgate.net/publication/381156204
Baradari, D., Kosmyna, N., Petrov, O., Kaplun, R., & Maes, P. (2025). NeuroChat: A neuroadaptive AI chatbot for customizing learning experiences [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2501.12345
Choi, D., Park, S., Lee, K., Hong, H., & Kim, Y.-H. (2024). AACessTalk: Fostering communication between minimally verbal autistic children and parents with contextual guidance and card recommendation [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2405.67890
Ghafghazi, S., Carnett, A., Neely, L., Das, A., & Rad, P. (2021). AI-augmented behavior analysis for children with developmental disabilities: Building towards precision treatment [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2109.13579
Lorah, E. R., Holyfield, C., Miller, J., Griffen, B., & Lindbloom, C. (2022). A systematic review of research comparing mobile technology speech-generating devices to other AAC modes with individuals with autism spectrum disorder. Journal of Developmental and Physical Disabilities, 34(2), 187–210. https://doi.org/10.1007/s10882-021-09797-y
Lyu, Y., An, P., Zhang, H., Katsuragawa, K., & Zhao, J. (2024). Designing AI-enabled games to support social-emotional learning for children with autism spectrum disorders [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2403.12345
MDPI. (2025). The impact of artificial intelligence on inclusive education: A systematic review. Education Sciences, 15(5), 539. https://doi.org/10.3390/educsci15050539
Neamtu, H., Camara, A., Pereira, C., & Ferreira, R. (2019). Using artificial intelligence for augmentative alternative communication for children with disabilities. Pafos.
Neimy, H., & Fossett, B. (2022). Augmentative and alternative communication (AAC) systems. Springer.
O’Brien, A., et al. (2023). Talkitt: Toward a new instrument based on artificial intelligence for augmentative and alternative communication in children with Down syndrome. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1154321
Othman, O. (2025). The role of artificial intelligence in teaching and learning for students with autism spectrum disorder. ResearchGate.
PubMed Central. (2021). AAC and artificial intelligence (AI). National Library of Medicine. https://www.ncbi.nlm.nih.gov/pmc/
Ross, I. C. L. (2025). Utilizing large language models for adaptive education in children with autism spectrum disorder. ResearchGate.
Toyokawa, S., et al. (2023). Adaptive educational platforms in inclusive learning contexts. MDPI. https://doi.org/10.3390/su15097452
Wikipedia. (2025, 10 de marzo). Spoken – Tap to Talk AAC. https://en.wikipedia.org/wiki/Spoken_AAC