Conference

Vat-rubars: A visualization and analytical tool for a rule-based recommender system to support teachers in a learner-centered learning approach

This paper introduces VAT-RUBARS, a visualization and analytical tool designed to enhance rule-based recommender systems in smart learning environments. Building on previous research, this tool provides data-driven insights to support teachers in learner-centered courses, eliminating the need for assumptions about students or course structures. By using learning analytics, VAT-RUBARS helps educators optimize the learning environment, making it more adaptive, personalized, and effective for learners.