泰米尔语阅读障碍儿童的人工智能筛查援助

K. Banumathi, G. Sudhasadasivam, B. Banurekha, N. Shahana, K. Vaishnavi
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引用次数: 0

摘要

阅读障碍是一种学习障碍,其特征是由于与处理相关的大脑左半球受损而导致学习困难。在印度,阅读障碍的发病率约为15%。识字是所有学习的基础,因此,早期识别阅读障碍是至关重要的。识别阅读障碍的合适年龄是在5到8岁之间,因为早期发现可以培养纠正措施。在这个年龄段发现阅读障碍也将防止未来的辍学。在早期发现儿童阅读障碍的主要挑战包括学校教师和家长缺乏意识。由于缺乏以区域语言编写的简单的标准化筛选和评估工具,使得这项任务更加困难。一个智能手机应用程序,以筛选阅读障碍提供通用和标准化的优势。然而,小学教育工作者认为有必要使用地区语言(如泰米尔语)筛选应用程序,因为当地人口的大多数交流都使用地区语言。在这项研究工作中,开发了基于智能手机的泰米尔语阅读障碍筛查应用程序。该应用程序包含的问题涵盖了一般素质、健康与个性、独特才能、言语和听力技能、视觉灵敏度和阅读技能、写作和运动技能、数学能力以及记忆和认知技能等领域。该应用程序是利用特殊教育工作者的专业知识并遵循地区惯例创建的。该应用程序生成可视化,并为用户提供阅读障碍严重程度的评分。报告可下载及列印。然后用五种不同的机器学习算法对数据集进行训练,并通过它们的分类和错误率报告对结果进行比较。
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AI Powered Screening Aid for Dyslexic Children in Tamil
Dyslexia is a learning disorder characterized with a difficulty in learning due to impairment of the left hemisphere of the brain associated with processing. In India, the incidence of dyslexia is believed to be around 15%. Literacy is the foundation of all learning and hence, identifying dyslexia at an early age is critical. The appropriate age to identify dyslexia is between 5 and 8 years since early detection can nurture corrective measures. Identifying dyslexia at this age will also prevent future school drop outs. The major challenge in detecting dyslexia among children at an early age includes lack of awareness among school teachers and parents. The absence of simple standardized screening and assessment tools in regional languages makes the task more difficult. A Smartphone application to screen dyslexia offers the advantages of universal use and standardization. However, primary school educators feel the need to have screening apps in regional languages (like Tamil), as most of the communication in local population is using regional language. In this research work, a Smartphone based screening application for dyslexia is developed in Tamil. The app consists of questions that cover the areas of general qualities, health & personality, unique talents, speech & hearing skills, visual acuity& reading skills, writing & motor skills, mathematical ability and memory & cognitive skills. The app was created utilizing the expertise of special educators and following regional practices. The app generates visualizations and provides scoring on the severity level of dyslexia for the user. The report can be downloaded and printed. Then the dataset is subjected to training with five different machine learning algorithms and results are compared by their report of classification and error rates.
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