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Natural Language Processing in Conversational AI Tutors: Toward Human-Like Learning Companions
Abstract
Conversational AI tutors, powered by Natural Language Processing (NLP) and Large Language Models (LLMs), are reshaping education by offering personalized, adaptive, and interactive learning experiences. Unlike static digital tools, these systems simulate human-like dialogue, support inquiry-based learning, and provide real-time feedback tailored to individual needs. This chapter explores the evolution of conversational AI in education, core technological components, real-world applications, and ethical considerations. Through case studies such as Duolingo Max and Carnegie Learning's Mika, it highlights the transformative potential of AI tutors across K–12, higher education, and professional training. It also addresses future research directions including emotional intelligence, multimodal interaction, and teacher-AI collaboration, emphasizing the need for pedagogical grounding and responsible deployment. Conversational AI tutors are poised to become vital partners in next-generation learning ecosystems.
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