Adaptive technology to support talented secondary school students with the educational IT infrastructure

This paper describes the project of an automated adaptive system for individual support of talented students with the educational IT infrastructure. A model of the process of self-learning and self-development of talented students in the educational IT infrastructure is developed on the basis of a multilevel competence system using Petri nets. To design optimal student's individual learning paths algorithms of the ant colony have been used. Methods for calculating the relative values of the student's rating are proposed based on accounting their academic achievements in a specific subject area. A preliminary version of the Web portal has been developed to provide the storage of talented student's profiles with their achievements and ratings, information on courses and training competitions, ILP planning, user interaction, integration with external educational resources.