Artificial Intelligence and Sensor Technologies the Future of Special Education for Students with Intellectual and Developmental Disabilities

Richard Lamb, Ikseon Choi, Tasha Owens
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Abstract

Learning environments such as classrooms and online systems for students with developmental or intellectual disabilities are typically dynamic, multisensory, and make use of top-down attention and working memory mechanisms to promote sense making by the student. This is specifically true when the student with intellectual disabilities is mainstreamed into a general education classroom. The complex interactions between the classroom, the student, and the content creates serious difficulty in assessing a student’s understanding, particularly for students who are non-verbal or have deficits in communication. However, the last five years have ushered a revolution in computational power, brain mapping, wearable sensors use, large scale data collection, generative artificial intelligence, and physiological signal processing techniques e.g., the 4th industrial revolution
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人工智能和传感器技术:智力和发育障碍学生特殊教育的未来
为有发育障碍或智力障碍的学生提供的教室和在线系统等学习环境通常是动态的、多感官的,并利用自上而下的注意力和工作记忆机制来促进学生的理解。当智障学生被纳入通识教育课堂的主流时,情况尤其如此。课堂、学生和内容之间复杂的相互作用给评估学生的理解带来了严重的困难,特别是对于那些不会说话或有沟通缺陷的学生。然而,在过去的五年里,计算能力、大脑映射、可穿戴传感器的使用、大规模数据收集、生成式人工智能和生理信号处理技术(如第四次工业革命)迎来了一场革命
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