COMPARATIVE ANALYSIS OF LMS ONLINE PLATFORMS INTEGRATED WITH ARTIFICIAL INTELLIGENCE IN ENGLISH LANGUAGE TEACHING

Abstract

The rapid development of artificial intelligence (AI) technologies has transformed modern learning management systems (LMS). They have become less administrative and more adaptive, learner-focused tools for English Language Teaching (ELT). Despite growing academic and practical interest in LMSs with integrated AI components, their functionality, pedagogical effectiveness, and comparative advantages remain understudied. This study fills this gap by conducting a comprehensive comparative analysis of LMS platforms—Moodle, Canvas, Google Classroom — taking into account their integrated AI features relevant to English language teaching. The research methodology includes four complementary approaches: comparative analysis, content analysis, pedagogical analysis, and SWOT analysis. This multi-layered approach makes it easier to systematically assess AI tools, understand how they support key communication skills, and see their potential for personalization, adaptive learning, and automated feedback. The results reveal significant variability in the depth of AI implementation: Moodle and Canvas provide flexibility through their modular structure but require additional AI components, Google Classroom provides only limited AI support. These findings highlight the importance of combining a flexible LMS architecture with advanced AI tools to enhance foreign language communicative competence. This study contributes to the field of foreign language teaching. Recommendations for the effective integration of AI technologies into LMSs and the identification of strategic directions optimize English language teaching in a digital educational environment.