AI-driven chatbots in second language education: A systematic review of their efficacy and pedagogical implications

Q1 Arts and Humanities
Watcharapol Wiboolyasarin , Kanokpan Wiboolyasarin , Phornrat Tiranant , Nattawut Jinowat , Poomipat Boonyakitanont
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引用次数: 0

Abstract

This systematic review explores the efficacy of AI-driven chatbots in second language (L2) acquisition and examines their pedagogical implications. AI-powered chatbots have gained prominence in language education by offering personalized, adaptive learning experiences and continuous practice opportunities. Synthesizing findings from 30 empirical studies published between 2020 and 2024, this review investigates the impact of chatbots use across core language skills, including speaking, writing, reading, listening, grammar, and vocabulary. Results indicate notable improvements in learners' productive and receptive skills, especially in speaking and writing, due to features such as real-time feedback, anxiety reduction, and increase practice opportunities. While reading and listening also showed positive outcomes, their development was often constrained by chatbots’ limited capacity for deep contextual interaction. Despite their benefits, chatbots faced challenges in replicating human-like emotional engagement and nuanced communication. Pedagogically, chatbots are promising tools for fostering personalized, autonomous L2 learning; however, their optimal use may depend on thoughtful integration with human instruction to enhance affective support and scaffold complex tasks. Further research is needed to enhance emotional responsiveness and support complex language processing in chatbot design.
人工智能驱动的聊天机器人在第二语言教育中的应用:对其有效性和教学意义的系统回顾
这篇系统综述探讨了人工智能驱动的聊天机器人在第二语言习得中的功效,并考察了它们的教学意义。人工智能聊天机器人通过提供个性化、自适应的学习体验和持续的练习机会,在语言教育中获得了突出的地位。本综述综合了2020年至2024年间发表的30项实证研究的结果,调查了聊天机器人对核心语言技能的影响,包括口语、写作、阅读、听力、语法和词汇。结果表明,由于实时反馈、减少焦虑和增加练习机会等特点,学习者的生产和接受能力有了显著提高,尤其是在口语和写作方面。虽然阅读和听力也显示出积极的结果,但它们的发展往往受到聊天机器人深度上下文交互能力有限的限制。尽管聊天机器人有很多好处,但在复制类似人类的情感参与和细致入微的沟通方面,它们面临着挑战。在教学方面,聊天机器人是促进个性化、自主的第二语言学习的有前途的工具;然而,它们的最佳使用可能取决于与人类指导的深思熟虑的结合,以增强情感支持和支撑复杂的任务。在聊天机器人的设计中,需要进一步的研究来增强情感反应和支持复杂的语言处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ampersand
Ampersand Arts and Humanities-Language and Linguistics
CiteScore
1.60
自引率
0.00%
发文量
9
审稿时长
24 weeks
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