Nowadays, with the growing importance of the credit-based learning in current educational environment, strong academic advising system is an essential ingredient of learner success, supporting personalized advices aimed at effective and efficient learning. In that context, within the scope of this paper, an intelligent academic advising system approach is introduced focusing on integrating technology-enhanced learning methodologies into a pedagogy-driven and service-oriented architecture based on semantic technology. .
