A Framework for Large-Scale Automatic Fluency Assessment

Warley Almeida Silva

doi:10.4018/IJDET.2021070105

A Framework for Large-Scale Automatic Fluency Assessment

2021-07-01

1

PRE

AI

W

Warley Almeida Silva *

Jairo Francisco de Souza

DOI：10.4018/IJDET.2021070105

原文链接

原文求助

摘要

En 中文

Learning assessments are important to monitor the progress of students throughout the teaching process. In the digital era, many local and large-scale learning assessments are conducted through technological tools. In this view, a large-scale learning assessment can be designed to tackle one or multiple parts of the teaching process. Oral reading fluency assessments evaluate the ability to read reference texts. However, even though the use of applications to collect the reading of the students avoids logistics costs and speeds up the process, the evaluation of recordings has become a challenging task. Therefore, this work presents a computational solution for large-scale precision-critical fluency assessment. The goal is to build an approach based on automatic speech recognition (ASR) for the automatic evaluation of the oral reading fluency of children and reduce hiring costs as much as possible.

Keyword:

Large-Scale Assessment

Literacy

Orality

Reading Aloud Fluency

A Framework for Large-Scale Automatic Fluency Assessment

摘要

期刊

机构

引用论文