The Role of Generative Artificial Intelligence (AI) in Supporting Autism Spectrum Disorder Education: Opportunities and Challenges

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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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-29
DOI
https://doi.org/10.5281/zenodo.15115901
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of Generative Artificial Intelligence (AI) in Supporting Autism Spectrum Disorder Education: Opportunities and Challenges

Zenodo (CERN European Organization for Nuclear Research)
Autism Spectrum Disorder Research
article

The Role of Generative Artificial Intelligence (AI) in Supporting Autism Spectrum Disorder Education: Opportunities and Challenges

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
University of Malaya (MY)
Quality Education
Openalex Percentile: Top 50%
Autism Spectrum Disorder Research
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