Intelligent Tutor

Intelligent tutoring systems (ITS) aim to personalize education by adapting to individual student needs and providing tailored feedback. Current research focuses on improving the effectiveness of ITS through advanced algorithms like hierarchical multi-armed bandits and integrating large language models (LLMs) with knowledge bases to enhance accuracy and pedagogical capabilities. These advancements are improving the delivery of adaptive assistance, including proactive interventions based on student performance and hint usage, ultimately aiming to increase student engagement, learning outcomes, and efficiency. The impact extends to various educational settings, from programming courses to language learning, offering potential for significant improvements in personalized education.