Artificial intelligence in foreign language learning: cognitive, metacognitive and intercomprehension perspectives

dc.contributor.authorBezugla I.
dc.contributor.authorSavytska L.
dc.description.abstractThis article explores how artificial intelligence (AI) influences cognitive and metacognitive processes in learning Romance languages within intercomprehension-based pedagogies. It argues that ethically designed AI tools enhance attention, memory, reasoning and self-regulation through adaptive feedback and personalized learning. Hybrid models combining human mediation with intelligent systems support higher-order skills such as inference and problem-solving. Methodologically, the study stresses mixed-method and longitudinal approaches and highlights ethical and intercultural considerations, including equitable access and digital literacy. Overall, AI functions as a cognitive partner that reshapes linguistic knowledge construction, while its sustainable use depends on continuous teacher training and balanced human–AI collaboration.
dc.identifier.citationBezugla I. Artificial intelligence in foreign language learning: cognitive, metacognitive and intercomprehension perspectives / I. Bezugla, L.Savytska // Scientific Collection «InterConf+ : ): with the Proceedings of the 12th Theory and Practice of Science: Key Aspects (November 19-20, 2025. - Rome, Italy, 2025. - 63(272). – Р. 53-73.
dc.identifier.urihttps://repository.hneu.edu.ua/handle/123456789/38007
dc.language.isoen
dc.subjectartificial intelligence (AI)
dc.subjectintercomprehension
dc.subjectcognition, multilingual education
dc.subjecthybrid pedagogy
dc.subjectdigital literacy
dc.subjectadaptive learning
dc.titleArtificial intelligence in foreign language learning: cognitive, metacognitive and intercomprehension perspectives
dc.typeArticle

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