Toward Precision and Inclusion: The Development Landscape of Artificial Intelligence-Empowered Rehabilitation Education for Children with Autism Spectrum Disorder

CHEN Jing-ying

doi:10.3969/j.issn.1672-4933.2026.02.002

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Toward Precision and Inclusion: The Development Landscape of Artificial Intelligence-Empowered Rehabilitation Education for Children with Autism Spectrum Disorder

Expert Forum | 更新时间：2026-03-17

- Toward Precision and Inclusion: The Development Landscape of Artificial Intelligence-Empowered Rehabilitation Education for Children with Autism Spectrum Disorder
- Chinese Scientific Journal of Hearing and Speech Rehabilitation Vol. 24, Issue 2, Pages: 116-120(2026)
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- DOI：10.3969/j.issn.1672-4933.2026.02.002
  CLC： R494
- Received：09 February 2026，
  
  Published：15 March 2026
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陈靓影.迈向精准化与普惠化：人工智能赋能孤独症儿童康复教育的发展图景[J].中国听力语言康复科学杂志,2026,24(02):116-120.

CHEN Jing-ying.Toward Precision and Inclusion: The Development Landscape of Artificial Intelligence-Empowered Rehabilitation Education for Children with Autism Spectrum Disorder[J].Chinese Scientific Journal of Hearing and Speech Rehabilitation,2026,24(02):116-120.
陈靓影.迈向精准化与普惠化：人工智能赋能孤独症儿童康复教育的发展图景[J].中国听力语言康复科学杂志,2026,24(02):116-120. DOI： 10.3969/j.issn.1672-4933.2026.02.002.

CHEN Jing-ying.Toward Precision and Inclusion: The Development Landscape of Artificial Intelligence-Empowered Rehabilitation Education for Children with Autism Spectrum Disorder[J].Chinese Scientific Journal of Hearing and Speech Rehabilitation,2026,24(02):116-120. DOI： 10.3969/j.issn.1672-4933.2026.02.002.

摘要

人工智能技术正深刻重塑孤独症谱系障碍（ASD）儿童康复教育的实践范式，现已发展为贯穿筛查-诊断-评估-干预全链条的体系性变革，其核心驱动力在于实现服务的精准化与普惠化。本文系统梳理了人工智能技术在早期筛查关口前移、诊断评估客观量化、个性化干预方案生成及家庭场景赋能等方面的关键突破。同时，直面技术有效性临床转化难、数据治理与公平性挑战、复合型人才短缺等现实瓶颈。最后，提出构建“临床-技术-产业”协同生态、建立健全全链条标准、实施普惠赋能与人才筑基双轮战略等面向未来的发展路径。

Abstract

Artificial intelligence technology is profoundly reshaping the practical paradigm of rehabilitation education for children with autism spectrum disorder

evolving into a systematic transformation that spans the entire chain from screening and diagnosis to assessment and intervention. The core driving force lies in achieving both precision and universal accessibility of services. This article systematically reviews the key breakthroughs of Artificial intelligence in advancing early screening to frontline contexts

objectifying and quantifying diagnostic assessment

generating personalized intervention plans

and empowering family-based scenarios. Simultaneously

it confronts the realistic bottlenecks including difficult clinical translation of technological effectiveness

challenges in data governance and equity

and shortage of interdisciplinary talent. Finally

it proposes future-oriented development pathways: constructing a synergistic ecosystem of "clinical-technology-industry" collaboration

establishing and improving full-chain standards

and implementing a dual-wheel strategy of inclusive empowerment and talent cultivation.

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Keywords

references

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