Exploring the application of AI in the education of children with autism: a public health perspective
IntroductionAutism Spectrum Disorder (ASD) presents significant challenges in social communication and interaction, critically impacting the lives of children with ASD. Traditional interventions, such as Applied Behavior Analysis (ABA) and Social Skills Training (SST), have been widely used to addre...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1521926/full |
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| author | Liu Lan Ke Li Diao Li |
| author_facet | Liu Lan Ke Li Diao Li |
| author_sort | Liu Lan |
| collection | DOAJ |
| description | IntroductionAutism Spectrum Disorder (ASD) presents significant challenges in social communication and interaction, critically impacting the lives of children with ASD. Traditional interventions, such as Applied Behavior Analysis (ABA) and Social Skills Training (SST), have been widely used to address social skill deficits in these children. While these methods are effective, they often require substantial resources, long-term engagement, and specialized expertise, which limit their accessibility and adaptability to diverse social contexts. Recent advancements in artificial intelligence (Al), particularly Transformer-based models, offer a novel opportunity to enhance and personalize social skills training.MethodsThis study introduces a Public Health-Driven Transformer (PHDT) model specifically designed to improve social skills in children with ASD. By integrating public health principles with state-of-the-art Al methodologies, the PHDT model creates interventions that are adaptable, accessible, and sensitive to individual needs. Leveraging multi-modal data inputs-such as text, audio, and facialcues-PHDT provides real-time social context interpretation and adaptive feedback, enabling a more naturalistic and engaging learning experience.Results and discussionExperimental results reveal that PHDT significantly outperforms traditional methods in fostering engagement, retention, and social skill acquisition. These findings highlight PHDT's potential to improve social competencies in children with ASD and to revolutionize access to specialized support within public health frameworks. This work underscores the transformative impact of Al-driven, public health-oriented interventions in promoting equitable access to essential developmental resources and enhancing the quality of life for children with ASD. |
| format | Article |
| id | doaj-art-fce1da0f6942418f930f9b7194763f14 |
| institution | Kabale University |
| issn | 1664-0640 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj-art-fce1da0f6942418f930f9b7194763f142025-01-28T08:11:33ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402025-01-011510.3389/fpsyt.2024.15219261521926Exploring the application of AI in the education of children with autism: a public health perspectiveLiu Lan0Ke Li1Diao Li2School of Teacher Education, Suqian University, Suqian, ChinaSchool of Ideological and Political Education, Shanghai Maritime University, Shanghai, ChinaSchool of Teacher Education, Suqian University, Suqian, ChinaIntroductionAutism Spectrum Disorder (ASD) presents significant challenges in social communication and interaction, critically impacting the lives of children with ASD. Traditional interventions, such as Applied Behavior Analysis (ABA) and Social Skills Training (SST), have been widely used to address social skill deficits in these children. While these methods are effective, they often require substantial resources, long-term engagement, and specialized expertise, which limit their accessibility and adaptability to diverse social contexts. Recent advancements in artificial intelligence (Al), particularly Transformer-based models, offer a novel opportunity to enhance and personalize social skills training.MethodsThis study introduces a Public Health-Driven Transformer (PHDT) model specifically designed to improve social skills in children with ASD. By integrating public health principles with state-of-the-art Al methodologies, the PHDT model creates interventions that are adaptable, accessible, and sensitive to individual needs. Leveraging multi-modal data inputs-such as text, audio, and facialcues-PHDT provides real-time social context interpretation and adaptive feedback, enabling a more naturalistic and engaging learning experience.Results and discussionExperimental results reveal that PHDT significantly outperforms traditional methods in fostering engagement, retention, and social skill acquisition. These findings highlight PHDT's potential to improve social competencies in children with ASD and to revolutionize access to specialized support within public health frameworks. This work underscores the transformative impact of Al-driven, public health-oriented interventions in promoting equitable access to essential developmental resources and enhancing the quality of life for children with ASD.https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1521926/fullpublic health interventionmulti-modal AIautism spectrum disordertransformer modelsocial skills enhancementFrontiers |
| spellingShingle | Liu Lan Ke Li Diao Li Exploring the application of AI in the education of children with autism: a public health perspective Frontiers in Psychiatry public health intervention multi-modal AI autism spectrum disorder transformer model social skills enhancement Frontiers |
| title | Exploring the application of AI in the education of children with autism: a public health perspective |
| title_full | Exploring the application of AI in the education of children with autism: a public health perspective |
| title_fullStr | Exploring the application of AI in the education of children with autism: a public health perspective |
| title_full_unstemmed | Exploring the application of AI in the education of children with autism: a public health perspective |
| title_short | Exploring the application of AI in the education of children with autism: a public health perspective |
| title_sort | exploring the application of ai in the education of children with autism a public health perspective |
| topic | public health intervention multi-modal AI autism spectrum disorder transformer model social skills enhancement Frontiers |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1521926/full |
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