THE USE OF AI TECHNOLOGIES TO ADAPT DIDACTIC MATERIALS IN TEACHING A FOREIGN LANGUAGE
DOI:
https://doi.org/10.48371/PEDS.2026.80.1.026%20Keywords:
intelligent digital tools, material adaptation, teacher education, AI-based methodologies, digital educational environments, empirical testing, CEFR alignment, learning outcomesAbstract
The article investigates how intelligent digital tools help future English language teachers prepare their educational materials through theoretical and practical assessments. The research holds importance because education continues to digitalize while teachers need better training methods for teaching students with different learning needs.
The research aims the proposed material adaptation method through empirical testing to measure its impact on task modification quality and student learning content understanding and achievement results. The research examines digital educational environments through theoretical adaptation analysis and educational material transformation parameter identification and intelligent digital tool assessment for support.
The research establishes digital educational environment adaptation definitions and demonstrates its role in enhancing teaching effectiveness through scientific methods. The research presents how AI technology can improve educational content and teaching methods for teacher education programs.
The methodology combines scholarly review with student proficiency testing followed by a 15-week teaching experiment and experimental and control group comparison and expert assessment of modified assignments.
The research’s result shows that AI-based adaptation methods lead to better CEFR descriptor alignment and lower student mental effort while making content more organized and tasks more effective.
The research adds value to educational practice through its development of methodological principles for material adaptation and its proof of intelligent digital tools for teacher education of future foreign language instructors.
