Research on Natural Language Processing and Conversational Interaction of AI in Education

This study explores the theoretical applications of artificial intelligence (AI) in natural language processing (NLP) and conversational interaction within the educational domain. With the rapid advancement of AI, NLP and conversational systems offer transformative potential for education, revolutionizing traditional educational models. Through literature review and theoretical framework construction, this research systematically reviews the history and current state of AI applications in education. It highlights their potential to enhance educational quality, promote personalized learning, and optimize resource allocation. Firstly, the study elaborates on the fundamental principles and development trends of existing NLP technologies, addressing their theoretical basis in language understanding, machine translation, and speech recognition. Secondly, it examines the application prospects of conversational systems in education, including intelligent tutoring systems, automated grading systems, and virtual classrooms, grounded in educational theory.