ARTIFICIAL INTELLIGENCE AND LANGUAGE LEARNING: TOWARDS AN ADAPTIVE COGNITIVE-LINGUISTIC MODEL FOR PERSONALIZED EDUCATION
Authors
Anna Kowalska ()Files
Key Information
Journal
Published in Vol. 1 No. 1 (2026) of Omega Journal of Interdisciplinary Research and Development.
OMEGA Journal of Interdisciplinary Research and Development is an international, peer-reviewed, open access journal dedicated to promoting research that integrates knowledge across multiple disciplines. The journal provides a platform for scholars, researchers, and professionals to publish innovative and impactful research that contributes to academic advancement and societal development.
Key Highlights:
- Peer-reviewed (Double-blind)
- Open Access Journal
- Monthly Publication
- Multidisciplinary Scope
Frequency of Publication: Monthly
Languages: English, Polish and Russian
Publication Format: Electronic
ISSN (E): 3072-4708
About the JournalAbstract
The integration of artificial intelligence (AI) into language education has transformed traditional pedagogical approaches by enabling adaptive, personalized learning environments. However, existing frameworks often lack a comprehensive theoretical foundation that integrates cognitive linguistics, second language acquisition (SLA), and AI-driven systems. This paper proposes an interdisciplinary model—the Adaptive Cognitive-Linguistic AI Model (ACL-AI)—that explains how AI systems can align with human cognitive processes in language learning. Drawing on recent journal literature in applied linguistics, educational technology, and artificial intelligence, the study critically evaluates current AI-based language learning tools and identifies conceptual gaps. The proposed model emphasizes learner cognition, feedback loops, and dynamic adaptation. The paper contributes to interdisciplinary research by offering a theoretically grounded framework for future AI-driven language education systems.
References
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