

Developing an AI-Powered Interactive Virtual Tutor for Enhanced Learning Experiences
Abstract
With the rapid advancement of technology, the integration of artificial intelligence (AI) in education is transforming traditional learning environments. This paper presents the development of an AI-powered interactive virtual tutor designed to enhance learning experiences through personalized and adaptive instruction. The virtual tutor leverages natural language processing (NLP), machine learning algorithms, and data analytics to provide real-time feedback, individualized learning paths, and interactive dialogues with students. By simulating a human tutor, the AI tutor offers customized educational support, catering to diverse learning styles and pacing preferences. Preliminary results from pilot studies show significant improvements in student engagement, comprehension, and retention. This paper outlines the system architecture, implementation process, and results from initial testing, suggesting that AI-powered virtual tutors can offer scalable, efficient, and effective solutions for modern education systems.
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