Prospective global scientific trends: Implementing artificial intelligence technologies in the personalization of foreign language learning for adults in lifelong education

dc.contributor.authorSavytska L. V.
dc.contributor.authorKovalova K. L.
dc.description.abstractThe study examines the integration of artificial intelligence technologies into the personalization of foreign language learning for adults within a lifelong learning framework. The object of the research is the process of adult education in conditions of personalised foreign language training, while the subject concerns artificial intelligence technologies and the methodological principles underpinning their implementation in personalised foreign language learning for adult learners. The methodological foundation of the study is constituted by competence-based, learner-centred, system-activity, andragogical and integrative-digital approaches, that collectively ensure consideration of individual educational needs, levels of language proficiency, and professional interests of adult learners. The research employs a combination of theoretical, empirical, and statistical methods. It is substantiated that the application of artificial intelligence technologies contributes to the development of an adaptive educational environment that enables the personalisation of the learning process, enhances learner motivation and increases the effectiveness of foreign language communicative competence formation. It has been established that the integration of AI-driven tools, including generative models, automated feedback systems, and adaptive learning platforms, facilitates the optimisation of content selection in accordance with learners’ proficiency levels, needs, and learning styles in adult education. A methodological model for the implementation of artificial intelligence technologies in personalised foreign language learning for adults within lifelong learning has been developed and theoretically justified, accompanied by practical recommendations for its application. The findings of the study may be applied in higher and postgraduate education institutions, educational and methodological centres, corporate training environments, and continuing professional development programmes.
dc.identifier.citationSavytska L. V. Prospective global scientific trends: Implementing artificial intelligence technologies in the personalization of foreign language learning for adults in lifelong education / L. V. Savytska, K. L. Kovalova // Monographic series «European Science». – Karlsruhe, Germany, Book 49, Part 2, 2026. – 85 p.
dc.identifier.urihttps://repository.hneu.edu.ua/handle/123456789/41541
dc.language.isoen
dc.subjectartificial intelligence
dc.subjectpersonalized learning
dc.subjectadaptive educational environment
dc.subjectlifelong learning
dc.subjectforeign language communicative competence
dc.subjectandragogy
dc.subjectmethodological recommendations
dc.titleProspective global scientific trends: Implementing artificial intelligence technologies in the personalization of foreign language learning for adults in lifelong education
dc.typeArticle

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