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Early Intervention Through Identification of Learners with Dyscalculia as Initial Analysis to Design AR Assistive Learning Application

机译:利用Dyscalculia识别学习者作为设计AR辅助学习申请的初步分析,早期干预

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Learners who suffer from dyscalculia are unable to perform in mathematics. Plausible Assistive digital technology that are visual-based fusion technology, particularly Augmented Reality (AR) application, can assist dyscalculia learners perform arithmetic tasks such as addition, subtraction, multiplication, and division more effectively. This paper highlights early intervention through identification of dyscalculia learners in a national elementary school. The identification of dyscalculia learners was done through a screening instrument that combined of Mathematics Learning Ability (MLA) and Mathematics Learning Performance (MLP). The findings categorised the learners based on five main difficulties namely, memory, abstraction, sequencing processing, motor, and visual perception. However, the visual perception category showed most significant difficulty faced by dyscalculia learners in learning mathematics. The findings were used as initial analysis for Systems Requirement Specifications (SRS) that would be used to design and develop a visual-based fusion technology AR application for dyscalculia learners.
机译:患有Dyscalculia的学习者无法在数学中进行。可粘性辅助数字技术,是基于视觉的融合技术,特别是增强现实(AR)应用程序,可以帮助Dysculculia学习者执行算术任务,例如添加,减法,乘法和划分更有效。本文突出了早期干预,通过鉴定国家小学中的消带紊乱学习者。通过筛选仪器来识别Dyscalculia学习者通过筛查仪器来组合数学学习能力(MLA)和数学学习绩效(MLP)。该调查结果根据五个主要困难,将学习者分类,内存,抽象,排序处理,电机和视觉感知。然而,视觉感知类别表现出在学习数学方面的消化力学习者面临的最重要困难。该研究结果用作系统要求规范(SRS)的初始分析,这些规范将用于设计和开发用于Dysculculia学习者的视觉融合技术AR应用。

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