Conference

A rule-based recommender system to suggest learning tasks

This paper presents a rule-based recommender system designed to support learner-centered learning, where students choose their own topics and tasks. Given the challenge of selecting appropriate learning activities, the system identifies learners with similar characteristics and recommends tasks that have been effective for others. By providing personalized task suggestions, the approach aims to enhance learning outcomes and help learners make informed decisions that maximize their educational progress.