生成式人工智能影响二语口语表现的研究综述
A Review of Research on the Impact of Generative Artificial Intelligence on L2 Speaking Performance
摘要: 随着ChatGPT等生成式人工智能(GenAI)的迅速普及,其在二语口语教学中的应用备受学界关注,但已有研究多将口语与其他语言技能合并讨论,对GenAI融入口语练习的路径及对口语表现的具体影响缺乏系统梳理。本研究依据PRISMA 2020规范,对ChatGPT发布以来的相关研究进行系统综述,最终纳入33篇文献。结果表明,现有研究多采用通用型与任务导向型工具,以亚洲高校英语学习者为主要对象,方法以量化与混合研究为主;GenAI可促进学习者整体口语表现及各维度提升,但仍面临技术故障、反馈质量不稳、人际互动不足等挑战。本研究厘清了该领域研究图景,为后续研究与教学实践提供参考。
Abstract: With the rapid proliferation of generative artificial intelligence (GenAI) tools such as ChatGPT, their application in second language (L2) speaking instruction has garnered growing scholarly attention. However, existing studies have mostly examined speaking skills alongside other language skills, leaving a lack of systematic synthesis regarding how GenAI integrates into L2 speaking practice and its specific impacts on speaking performance. Following the PRISMA 2020 guidelines, this study presents a systematic review of research published since the launch of ChatGPT, with 33 Chinese and English academic articles included in the final sample. The findings show that existing studies predominantly employ general-purpose and task-oriented GenAI tools, target tertiary-level English learners in Asia, and adopt mainly quantitative and mixed-methods designs. While GenAI facilitates improvements in learners’ overall speaking performance and its sub-dimensions, its application is constrained by technical glitches, inconsistent feedback quality, and insufficient interpersonal interaction. This study maps the research landscape of GenAI in L2 speaking instruction and offers implications for future research and pedagogical practice.
文章引用:张迪, 陈秀雅. 生成式人工智能影响二语口语表现的研究综述[J]. 现代语言学, 2026, 14(11): 245-256. https://doi.org/10.12677/ml.2026.14111069

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