聊天机器人
语言习得
计算机科学
背景(考古学)
匡威
对话
情感(语言学)
差异(会计)
自然语言
心理学
自然语言处理
数学教育
沟通
古生物学
几何学
数学
会计
业务
生物
作者
Feifei Wang,Alan Cheung,Amanda Inns,Ching Sing Chai
标识
DOI:10.3102/00346543241255621
摘要
Given the importance of conversation practice in language learning, chatbots, especially ChatGPT, have attracted considerable attention for their ability to converse with learners using natural language. This review contributes to the literature by examining the currently unclear overall effect of using chatbots on language learning performance and comprehensively identifying important study characteristics that affect the overall effectiveness. We meta-analyzed 70 effect sizes from 28 studies, using robust variance estimation. The effects were assessed based on 18 study characteristics about learners, chatbots, learning objectives, context, communication/interaction, and methodological and pedagogical designs. Results indicated that using chatbots produced a positive overall effect on language learning performance ( g = 0.484), compared to nonchatbot conditions. Moreover, four characteristics (i.e., educational level, language level, interface design, and interaction capability) affected the overall effectiveness. In an in-depth discussion on how the 18 characteristics are related to the effectiveness, future implications for practice and research are presented.
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