自闭症教育中的人工智能:合作和纵向方法的审查
Oyeyemi Patricia Adako1, Oluwafemi Clement Adeusi2, Peter Adeniyi Alaba3,4
1Department of Education, Anglia Ruskin University, Chelmsford, UK.
Disability and rehabilitation. Assistive technology
|November 1, 2025
概括
人工智能 (AI) 工具通过个性化学习和提高社会情感技能来增强自闭症教育. 有效的实施需要解决数据多样性和道德考虑,以获得公平的访问.
科学领域:
- 教育技术的教育技术
- 特殊教育中的人工智能
- 自闭症谱系障碍 干预 干预
背景情况:
- 自闭症教育传统上面临着个性化和社会技能发展方面的挑战.
- 新兴的人工智能技术为支持自闭症学习者提供了新的方法.
研究的目的:
- 对人工智能 (AI) 在自闭症教育中的作用进行全面的文献审查.
- 探索人工智能技术,支持自闭症患者的教学,学习和行为发展.
主要方法:
- 关于在自闭症教育中开发人工智能工具的同行评审文献的批判综合.
- 专注于自适应式学习系统,NLP通信辅助工具,情感识别,社会辅助机器人和AR/VR平台.
- 强调与教育工作者,治疗师,家庭和自闭症学习者共同设计的研究.
主要成果:
- 人工智能促进了个性化的学习途径,并增强了社会情感技能发展.
- 共同设计方法改善了人工智能工具的可用性,可访问性和文化相关性.
- 确定的局限性包括数据稀缺性,纵向数据收集的挑战以及有限的跨文化验证.
结论:
- 人工智能工具对自闭症教育具有变革性的潜力.
- 公平有效的实施需要解决数据多样性,道德监督和跨学科合作.
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