Plataforma web inteligente basada en RAG para potenciar el aprendizaje espaciado y la retención de conocimiento en asignaturas de Tecnologías de la Información

Abstract

Abstract: This research develops an intelligent web platform based on the Retrieval-Augmented Generation (RAG) architecture, designed to enhance spaced learning and knowledge retention among students in Information Technology programs. The proposal leverages spaced repetition, retrieval techniques, semantic classification, vector databases, and multimodal models from Azure OpenAI to create a personalized, evidence-based learning experience. Through an iterative and incremental development process, modules were created, implemented, and validated for academic content management, adaptive quiz generation, review scheduling, progress tracking, and intelligent tutoring. The solution underwent functional, integration, performance, and usability testing as well as validation of the RAG workflow to ensure that all components function correctly and effectively support study organization, knowledge retrieval, and the consolidation of learning within a university environment.