As global demand for personalized and effective English language instruction increases, artificial intelligence (AI) presents promising solutions for adaptive course development. This paper investigates how AI algorithms can enhance English language learning by creating dynamic, data-driven course pathways that respond to individual learner needs, pace, and preferences. Drawing on recent advances in natural language processing (NLP), machine learning, and learner analytics, the study reviews the structure, benefits, and limitations of adaptive English language courses. Through literature analysis and practical case evaluations, the research demonstrates that AI-supported adaptation leads to improved learner engagement, language retention, and performance outcomes, provided it is implemented with pedagogical coherence and ethical responsibility.

Adaptive Learning, Artificial Intelligence, English Language Courses, NLP, Personalization, EdTech, Learner Analytics

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