基于智能环境和启发式诊断教学原则的自闭症儿童学习支持系统

A. Sula, Evjola Spaho, Keita Matsuo, L. Barolli, Rozeta Miho, F. Xhafa
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引用次数: 13

摘要

在本文中,我们建议使用基于物联网(IoT), P2P技术和启发式诊断教学(HDT)原则的智能环境来识别自闭症谱系障碍(ASD)学生的数学学习能力和创造性特征。我们的新系统结合了各种视觉系统,如物体、照片、图片、实景画、线条画和文字,可以与各种技术模式一起使用,只要孩子能轻易地理解视觉表现。我们建议使用不同的评估工具来了解学生的数学能力。词汇技能、数学技能和其他生活技能可以通过我们提出的系统来教授。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Smart Environment and Heuristic Diagnostic Teaching Principle-Based System for Supporting Children with Autism during Learning
In this paper, we propose the use of the smart environment based on Internet of Things (IoT), P2P technology and Heuristic Diagnostic Teaching (HDT) principles for identifying learning abilities in mathematics and creative traits for students that are diagnosed within Autism Spectrum disorder (ASD). Our new system is combined with various visual systems, such as objects, photographs, pictures, realistic drawings, line drawings, and written words, and can be used with assorted modes of technology, as long as the child can readily comprehend the visual representation. We propose to use different assessment tools to learn about students' ability in math. Vocabulary skills, mathematics skills and other life skills can be taught through our proposed system.
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