Year: 2025
Type: conference-paper
Abstract: This poster presents an AI-powered intelligent tutoring system to enhance programming education through personalized and adaptive learning experiences. Using Generative AI, Machine Learning, and Natural Language Processing (NLP), our AI Tutor dynamically adjusts instructional content to match student needs, providing real-time feedback and a more interactive learning experience. The system integrates a chat-based interface that fosters seamless interaction, maintains learning context, and delivers personalized responses. Built on LangChain and Retrieval-Augmented Generation (RAG), the AI Tutor improves response accuracy and coherence, making it a powerful tool for programming education.
Authors: Fazel Keshtkar, Sebastian Chalarca, Giulio Bardelli, Allan Ilyasov, Sebastian Torres, Syed Ahmad Chan Bukhari
Institutions: St. John's University, St. John's University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4410398240