INTEGRATION OF ARTIFICIAL INTELLIGENCE TOOLS INTO SPEAKING INSTRUCTION
Keywords:
speaking instruction; artificial intelligence; automated speech evaluation; communicative competence; feedback; language learningAbstract
This article examines the methodological foundations, practical mechanisms, and educational consequences of teaching speaking through artificial-intelligence-based tools in modern language-learning environments. Particular attention is given to the ways AI platforms restructure feedback provision, increase the density of oral practice, reduce learner anxiety, and facilitate measurable development of communicative competence. The article highlights how automated speech analysis, semantic evaluation of spoken content, and interactive dialogue systems transform speaking instruction from a single-performance activity into a process of continuous revision, guided reflection, and individual linguistic progression. It also addresses limitations associated with mechanical correction, ethical concerns, depersonalized interaction, and teacher preparedness. The concluding part proposes a comprehensive instructional model integrating preparation, guided experimentation, reflective commentary, and performance evaluation.
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References
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