Development of a Module Recommendation System using profession-related Data

Abstract

Advisory about modules and support in academic planning can help in answering this question. This work investigates the relevance of course selection and its aspects and proposes a technical solution—a knowledge-based recommender system. This system, grounded in an ontology framework, aims to bridge the gap between students profession-related aspects, and the modules available.