Approach for Personalizing the Education Content Based on Data Mining for a Cloud Platform

Cloud-based learning environments, one of the main components of which are massive open online courses, have enormous collections of Big data. Rapid growth of the volumes of collected and stored information allows using methods of Data Mining. One of the main directions for further improvement of the online courses is to provide complex personalization. The need for personalization of learning is a reflection of the natural for mankind desire for an individual approach to personal needs, preferences and opportunities. A serious disadvantage of the online courses is the lack of an individual and differentiated approach to each student due to a pre-determined learning route in typical courses. We have developed a heuristic algorithm that implements methods of intellectual management of individual educational trajectories. The developed algorithm allows building an optimal individual learning route for each student, providing the widest possible opportunities and comfortable conditions for personalized learning. Using the proposed algorithm will dynamically development and correct the individual educational trajectory of each student within the course. The algorithm takes into account a variety of parameters: age, diagnostic questionnaire results, tests score, features of perception and memorization of the material.