Facilitating comprehension of non-native English speakers during lectures in English with STR-texts

被引：0

作者：

Shadiev, Rustam ^{[1
]}

Huang, Yueh-Min ^{[1
]}

Wu, Ting-Ting ^{[2
]}

机构：

[1] Natl Cheng Kung Univ, Tainan, Taiwan

[2] Natl Yunlin Univ Sci & Technol, Touliu, Yunlin, Taiwan

来源：

2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT) | 2016年

关键词：

STR-texts; non-native English speakers; lectures in English; high and low ability; cognitive load; anxiety; LEARNING ACTIVITIES; RECOGNITION; EFFICACY;

D O I：

10.1109/ICALT.2016.67

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We provide texts generated by speech-to-text recognition (STR) technology for non-native English speakers during lectures in English. We aim to test the feasibility of our approach. Our results show that participants who learned with STR-texts outperformed those who learned without them. Results also show no significant effect of STR-texts on post-test scores of the low and high ability participants after controlling for the effect of learning ability. Besides, there is no significant difference in cognitive load and anxiety of the low and high ability participants. Based on our findings several implications are made for the teaching and research communities.

引用

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页码：39 / 41

页数：3

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