Effect of chatbot-assisted language learning: A meta-analysis

被引：0
|
作者：
Shunan Zhang
Cheng Shan
John Sie Yuen Lee
ShaoPeng Che
Jang Hyun Kim
机构：
[1] Sungkyunkwan University,Department of Interaction Science
[2] Huzhou University,Department of Educational Technology, School of Education
[3] City University of Hong Kong,Department of Linguistics and Translation
[4] Tsinghua University,School of Journalism and Communication
来源：
Education and Information Technologies | 2023年 / 28卷
关键词：
Chatbots; Language Learning; Meta-analysis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Chatbots have shown great potential for language learning. However, previous studies have reported mixed results on the efficiency of chatbot-assisted language learning (CALL). This study integrated the results of previous experimental studies on CALL by using meta-analysis to explore its effectiveness. A total of 61 samples from 18 studies were examined. The results showed that CALL had a moderate average effect (g = .527). In addition, nine potential moderating variables (educational level, target language, language domain, learning outcome, instruction duration, chatbot interface, chatbot development, task dominance, and interaction way) were identified and discussed. The results of this study provided insights into the use and design of chatbots for language learning.
引用
收藏
页码：15223 / 15243
页数：20
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