A Modern Approach to MOOC Recommender Systems Using ICT Job Classification
In the field of Information Communication Technology (ICT), the demand for highly skilled professionals is increasing. To keep up with the modernized technology trends and to update the skill set, the best way for an ICT specialist or an undergraduate student is to register in a MOOC platform and follow the appropriate courses. However, given the large variety of MOOC platforms and courses, they may get confused as to which are the most beneficial and time worthy choices. The authors provide research of the users’ requirements, existing MOOC recommender systems and their features and propose a clientserver recommender system which enables users to choose an existing MOOC platform, based on ICT jobs and skills. The paper proposes a modern approach that helps IT specialists to plan their future development path based on MOOC recommendations, specific to ICT jobs and relevant to their development needs.