ARCHITECTING AI-ENHANCED LINGUISTIC ECOSYSTEMS FOR THE DEVELOPMENT OF PROFESSIONAL FOREIGN LANGUAGE PROFICIENCY
DOI:
https://doi.org/10.31861/gph2026.858-859.192-201Keywords:
artificial intelligence, linguistic ecosystem, foreign language proficiency, AI-enhanced learning, professional communication, language education, ChatGPT, personalized learningAbstract
The article investigates the role of AI-enhanced linguistic ecosystems in developing professional foreign language proficiency among university students. The study analyzes the integration of AI-powered tools, including generative AI systems, automated speech recognition technologies, adaptive learning platforms, and AI-assisted writing environments, into professional language education. The investigation utilized an integrated research design that merged quantitative and qualitative approaches. Sixty undergraduate students participated in a semester-long experimental study comparing traditional digital learning environments with AI-enhanced linguistic ecosystems.
The findings demonstrate that AI-mediated educational environments significantly improve students’ academic writing, speaking fluency, professional vocabulary acquisition, listening comprehension, and communication confidence. The results also indicate that AI technologies increase learner motivation, support personalized learning trajectories, and reduce communication anxiety through continuous automated feedback and authentic interactive practice.
At the same time, the research highlights several limitations of AI integration, including excessive dependence on generative technologies, concerns regarding academic ethics, digital disparities, and the emergence of linguistic hierarchies within AI-driven educational environments. Based on the empirical findings, the article proposes a conceptual model of an AI-enhanced linguistic ecosystem for professional foreign language development in higher education. The model emphasizes the balanced interaction between AI technologies, learner-centered pedagogy, collaborative communication, teacher facilitation, and ethical AI implementation.
The study contributes to contemporary research on AI-mediated language education and provides practical recommendations for the pedagogically effective integration of artificial intelligence into professional foreign language training.
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