Artificial Intelligence in Children with Special Need Education

C. Neeharika, Y. Riyazuddin
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Abstract

Students with special need education (SNE) can now benefit from new forms of interaction made possible by special educational needs. Recently artificial intelligent technologies have been among the most successful in recent decades (between 2001 and 2010). AI approaches are considered as a tool to improve the eminence of children with special needs. As a result, AI must be implemented. Content analysis was used to examine the replies. Research focused on whether the literature covered the topics of AI's influence on (a) SNE and (b) AI's ability to enable instructors to promote Special Needs Education. The study also attempted, through in-depth interviews, to provide a framework for a more inclusive future for special-needs education. As a result of the employment of AI, children with special needs and educational institutions alike have been affected. There has been a lot of attention paid to students with special needs in this paper, which looks at how AI affects their education. The proposed study has also implemented a data-driven approach to classify autism spectrum disorder (ASD) patients and typically developing (TD) participants data.
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人工智能在特殊需要儿童教育中的应用
有特殊教育需要的学生现在可以从特殊教育需要带来的新形式的互动中受益。最近,人工智能技术是近几十年来(2001年至2010年)最成功的技术之一。人工智能方法被认为是提高有特殊需要的儿童的卓越性的工具。因此,必须实施人工智能。内容分析用于检查回复。研究的重点是文献是否涵盖了人工智能对(a) SNE的影响以及(b)人工智能使教师能够促进特殊需要教育的能力。这项研究还试图通过深入访谈,为特殊需要教育的更具包容性的未来提供一个框架。由于使用人工智能,有特殊需要的儿童和教育机构都受到影响。本文对有特殊需求的学生进行了大量关注,研究了人工智能如何影响他们的教育。该研究还实施了一种数据驱动的方法来分类自闭症谱系障碍(ASD)患者和典型发展(TD)参与者的数据。
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