Detecting learning in noisy data: the case of oral reading fluency

Beata Beigman Klebanov, Anastassia Loukina, J. Lockwood, V. R. Liceralde, J. Sabatini, Nitin Madnani, Binod Gyawali, Zuowei Wang, J. Lentini
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引用次数: 4

Abstract

In a school context, learning is usually detected by repeated measurements of the skill of interest through a sequence of specially designed tests; in particular, this is the case with tracking improvement in oral reading fluency in elementary school children in the U.S. Results presented in this paper suggest that it is possible and feasible to detect improvement in oral reading fluency using data collected during children's independent reading of a book using the Relay Reader™ app. We are thus a step closer to the vision of having a child read for the story, not for a test, yet being able to unobtrusively assess their progress in oral reading fluency.
嘈杂数据中的学习检测:以口语阅读流畅性为例
在学校环境中,学习通常是通过一系列特别设计的测试反复测量兴趣技能来检测的;本文的研究结果表明,利用Relay Reader™应用程序在儿童独立阅读过程中收集的数据来检测口语阅读流畅性的提高是可能和可行的。因此,我们离让孩子为故事而不是为考试而阅读的愿景又近了一步。然而,能够不显眼地评估他们在口语阅读流利性方面的进展。
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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