Can AI chatbots effectively improve EFL learners’ learning effects?—A meta-analysis of empirical research from 2022–2024

计算机科学 实证研究 数学教育 荟萃分析 自然语言处理 人工智能 心理学 数学 医学 统计 内科学
作者
Zhaoyang Liu,Wenlan Zhang,Panpan Yang
出处
期刊:Computer Assisted Language Learning [Routledge]
卷期号:39 (4): 1176-1202 被引量:25
标识
DOI:10.1080/09588221.2025.2456512
摘要

Technology development has brought transformative changes to the field of education, with AI chatbots injecting new vitality into language learning. To clarify the effectiveness of AI-powered chatbots in enhancing learners’ English language acquisition, this study systematically employed meta-analysis to review 25 peer-reviewed studies published between 2022 and 2024. The results indicate that AI chatbots significantly enhance learners’ academic performance, positively influencing their language skills as well as their psychological and emotional well-being. Key moderating factors include intervention duration, chatbot role, and chatbot form. Longer intervention periods correlated positively with better learning effects; AI chatbots as learning companions were more effective; and AI chatbots with mechanical appearances had a greater impact on learning. However, educational levels and teacher roles did not significantly affect the moderating effects. This paper offers practical recommendations for integrating AI chatbots into EFL learning and suggests future research directions, providing valuable evidence and insights into their effectiveness in EFL education.
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