Yuxian Zhang

This review synthesizes empirical research (2021-2025) on AI-mediated EFL speaking practice through a language learning strategies lens. It examines how conversational AI—particularly voice chatbots, generative AI (GenAI), and automatic speech recognition (ASR)—reshapes learners’ strategic behaviors and speaking outcomes. The synthesis identifies three research hotspots: task-based voice chatbots as conversation partners, GenAI’s effects on willingness to communicate (WTC) and speaking anxiety, and ASR-based feedback for pronunciation development. A strategy-centered model is proposed, encompassing prompting, interaction management, repair, feedback uptake, and affect regulation. Pedagogical implications emphasize explicit strategy instruction for AI-mediated environments, assessment considerations, and teacher mediation. The review concludes with future research directions, including longitudinal designs, process data analysis, and comparative studies across interaction formats.

L2 speaking; learning strategies; communication strategies; generative AI; chatbots

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