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加强自闭症谱系障碍儿童的教育:人工智能工具实施中的评估与测量综述

Enhancing education for children with ASD: a review of evaluation and measurement in AI tool implementation.

作者信息

Adako Oyeyemi Patricia, Adeusi Oluwafemi Clement, Alaba Peter Adeniyi

机构信息

Department of Education, Anglia Ruskin University Chelmsford Essex, Chelmsford, United Kingdom.

Department of Computer Science, Staffordshire University, Stoke-on-Trent, United Kingdom.

出版信息

Disabil Rehabil Assist Technol. 2025 Mar 13:1-18. doi: 10.1080/17483107.2025.2477678.

Abstract

This article addresses the gaps in current research regarding the use of artificial intelligence (AI) tools to educate children with autism spectrum disorder (ASD). The proposed metrics are specifically designed to evaluate the progress of learning in AI-assisted education, considering the unique needs of this demographic. The review highlights the potential of long-term impact studies to determine the lasting effects of AI on social skills, emotional development, and overall academic achievement. The ethical considerations surrounding AI intervention in autistic education are thoroughly examined. By combining diverse methodologies utilized in existing studies, a comprehensive analysis of the challenges is presented, along with interdisciplinary approaches for improvement that can serve as a roadmap for future research. The manuscript provides innovative perspectives, bridges existing gaps, and advocates for the ethical and effective integration of AI tools in educating children with ASD.

摘要

本文探讨了当前关于使用人工智能(AI)工具教育自闭症谱系障碍(ASD)儿童的研究中的差距。所提出的指标是专门为评估人工智能辅助教育中的学习进展而设计的,同时考虑到这一人群的独特需求。该综述强调了长期影响研究在确定人工智能对社交技能、情感发展和整体学业成绩的持久影响方面的潜力。对围绕人工智能干预自闭症教育的伦理考量进行了全面审视。通过结合现有研究中使用的多种方法,对挑战进行了全面分析,并提出了跨学科的改进方法,这些方法可作为未来研究的路线图。该手稿提供了创新观点,弥合了现有差距,并倡导在教育自闭症谱系障碍儿童时伦理且有效地整合人工智能工具。

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