Transforming Education With AI-Driven Intelligent Tutoring Systems

Abstract

Artificial Intelligence (AI) has greatly enhanced the progress of Intelligent Tutoring Systems (ITS), revolutionizing conventional educational approaches with tailored learning encounters. Intelligent Tutoring Systems (ITS) are able to replicate personalized tutoring experiences, providing assistance that emulates human interaction and adapts to different learning styles and speeds. Although AI-based Intelligent Transportation Systems (ITS) have great potential, their implementation faces several hurdles. To tackle these difficulties, it is necessary to establish strong ethical principles, employ sophisticated data encryption techniques, and continuously improve AI models to guarantee fairness and inclusion. This study examines the potential and benefits of AI-driven Intelligent Tutoring Systems (ITS), emphasizing its ability to personalize education, enhance learning outcomes, and ensure equal access to high-quality education. The topic encompasses present applications, advantages, and obstacles, as well as forthcoming avenues for research and advancement in this domain.