SMART: Speech-enabled Mobile Assisted Reading Technology for Word Comprehension

被引：0
|
作者：
Kumar, Anuj [1 ]
Reddy, Pooj A. [1 ]
Kam, Matthew [1 ]
机构：
[1] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
来源：
ARTIFICIAL INTELLIGENCE IN EDUCATION | 2011年 / 6738卷
关键词：
Word Reading; Mobile Learning; Speech Recognition; Literacy; OUTPUT;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this study, we designed and developed two educational games on mobile phones with support for speech-recognition to examine and train the cognitive underpinnings of word reading in English as a Second Language (ESL) learners in rural India. Specifically, we tested the hypothesis that articulating a word aloud will be more advantageous for strengthening the sub-lexical components required for word reading - orthographic, phonologic, and semantic - than silently practicing it. 31 children from grades 4 and 5 learning ESL in rural India participated in the study. The results corroborated the hypothesis, suggesting that production is important for second language word reading development.
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页码：497 / 499
页数：3
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