Abstract :

This article explores the role of Generative artificial intelligence (AI) in the education of Autism Spectrum Disorder (ASD), including personalized learning, social skills training, and communication enhancement. Then, the article highlighted the potential of generative AI to increase motivation and engagement of students with ASD, teacher support and efficiency gains, parent involvement and collaboration, and improved educational accessibility. However, the article also identified challenges faced when applying generative AI in ASD education, including data privacy and security issues, algorithmic bias, and teacher and parent acceptance of new technologies. Finally, the article discussed future directions, including the creation of multimodal learning environments, the development of intelligent assistive tools and cross-disciplinary collaborations to ensure the effective application of generative AI in ASD education and to provide a scientific basis for educational practice and policy development.

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Keywords :

generative artificial intelligence, autism spectrum disorders, special education, opportunities, challenges

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References :

1. Bhat, A. N. (2020). Motor impairment increases in children with autism spectrum disorder as a function of social communication, cognitive and functional impairment, repetitive behavior severity, and comorbid diagnoses: a SPARK study report. Autism Research, 14(1), 202–219. https://doi.org/10.1002/aur.2453
2. Zakrocka, M., Gruszka, M., Polańska, P., & Kubicka, M. (2025). Autism spectrum disorder: definition, global epidemiology, prevalence in Poland and worldwide, and heredity. Journal of Education Health and Sport, 78, 57619. https://doi.org/10.12775/jehs.2025.78.57619
3. Pan, Y., & Foroughi, A. (2024). Evaluation of AI tools for healthcare networks at the cloud-edge interaction to diagnose autism in educational environments. Journal of Cloud Computing Advances Systems and Applications, 13(1). https://doi.org/10.1186/s13677-023-00558-9
4. Mitra, D. S. (2024). AI-Powered Adaptive Education for Disabled Learners. Available at SSRN 5042713.
5. Hellesnes, S. F., Nerem, T. S., Inal, Y., & Monllaó, C. V. (2024, July). The Effective Use of Generative AI for Personalized Learning: An Exploratory Study in the Norwegian Context. In International Conference on Computers Helping People with Special Needs(pp. 385-392). Cham: Springer Nature Switzerland.
6. Montoya-Rodríguez, M. M., de Souza Franco, V., Tomas Llerena, C., Molina Cobos, F. J., Pizzarossa, S., García, A. C., & Martínez-Valderrey, V. (2023). Virtual reality and augmented reality as strategies for teaching social skills to individuals with intellectual disability: A systematic review. Journal of Intellectual Disabilities, 27(4), 1062-1084.
7. Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access, 8, 75264-75278.

 

8. Johnson, C., Smart, K., & Mahar, P. (2023). Is there a place for generative artificial intelligence in special education. National Social Science Technology Journal, 11(2), 48-62.
9. Tang, Y., Chen, L., Chen, Z., Chen, W., Cai, Y., Du, Y., … & Sun, L. (2024, May). Emoeden: Applying generative artificial intelligence to emotional learning for children with high-function autism. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems(pp. 1-20).
10. Henriksen, D., Creely, E., Gruber, N., & Leahy, S. (2025). Social-Emotional Learning and Generative AI: A Critical Literature Review and Framework for Teacher Education. Journal of Teacher Education, 00224871251325058.
11. Hsu, C. Y., & Wu, T. T. (2023). Application of business simulation games in flipped classrooms to facilitate student engagement and higher-order thinking skills for sustainable learning practices. Sustainability, 15(24), 16867.
12. Vistorte, A. O. R., Deroncele-Acosta, A., Ayala, J. L. M., Barrasa, A., López-Granero, C., & Martí-González, M. (2024). Integrating artificial intelligence to assess emotions in learning environments: a systematic literature review. Frontiers in psychology, 15, 1387089.
13. Cai, S., Liu, C., Wang, T., Liu, E., & Liang, J. C. (2021). Effects of learning physics using Augmented Reality on students’ self‐efficacy and conceptions of learning. British Journal of Educational Technology, 52(1), 235-251.
14. Frolli, A., Cavallaro, A., La Penna, I., Sica, S. L., & Bloisi, D. (2023). Artificial intelligence and autism spectrum disorders: a new perspective on learning.
15. Dalim, C. S. C., Sunar, M. S., Dey, A., & Billinghurst, M. (2020). Using augmented reality with speech input for non-native children’s language learning. International Journal of Human-Computer Studies, 134, 44-64.
16. Hu, Y. (2025). Creating interactive AI learning environments: integrating interdisciplinary approaches and Taoist art principles. Interactive Learning Environments, 1-20.
17. Pappachan, P., Piyakanjana, S., Syofyan, H., & Nugroho, G. (2025). Innovative Horizons: The Role of AI and Robotics in Special Education. In AI Developments for Industrial Robotics and Intelligent Drones(pp. 231-256). IGI Global Scientific Publishing.
18. Wei, Y., Jiang, Y. H., Liu, J., Qi, C., Jia, L., & Jia, R. (2024). The Advancement of Personalized Learning Potentially Accelerated by Generative AI. arXiv preprint arXiv:2412.00691.
19. Kotsi, S., Handrinou, S., Iatraki, G., & Soulis, S. G. (2025). A Review of Artificial Intelligence Interventions for Students with Autism Spectrum Disorder. Disabilities, 5(1), 7.
20. Ahmad, W., Shokeen, R., & Raj, R. (2025). Artificial Intelligence: Solutions in Special Education. In Transforming Special Education Through Artificial Intelligence(pp. 459-520). IGI Global.
21. Ashraf, M. (2024). A Systematic Review on the Potential of AI and ChatGPT for Parental Support and Child Well-Being. arXiv preprint arXiv:2407.09492.