Using mobile technology for reading assessment

Loukia Taxitari, Claudia Cappa, Marcello Ferro, Claudia Marzi, Andrea Nadalini, Vito Pirrelli
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引用次数: 2

Abstract

The enormous potential of Information and Communication Technologies (ICT) for addressing critical educational issues is generally acknowledged, but its use in the assessment of the complex skills of reading and understanding a text has been very limited to date. The paper contrasts traditional reading assessment protocols with ReadLet, an ICT platform with a tablet front-end, designed to support online monitoring of silent and oral reading abilities in early graders. ReadLet makes use of cloud computing and mobile technology for large-scale data collection and allows the time alignment of the child's reading behaviour with texts tagged using Natural Language Processing (NLP) tools. Initial findings replicate established benchmarks from the psycholinguistic literature on reading in both typically and atypically developing children, making the application a new ground-breaking approach in the evaluation of reading skills.
使用移动技术进行阅读评估
信息和通信技术(ICT)在解决关键教育问题方面的巨大潜力得到普遍承认,但迄今为止,它在评估阅读和理解文本的复杂技能方面的应用非常有限。本文将传统的阅读评估方案与ReadLet进行了对比。ReadLet是一个具有平板电脑前端的ICT平台,旨在支持对早期年级学生的默读和口语阅读能力进行在线监测。ReadLet利用云计算和移动技术进行大规模数据收集,并允许将儿童的阅读行为与使用自然语言处理(NLP)工具标记的文本进行时间对齐。最初的研究结果复制了心理语言学文献中关于典型和非典型发展儿童阅读的既定基准,使该应用成为评估阅读技能的一种新的突破性方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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