Intelligent Management of Preparations for Programming Olympiads on the Basis of Swarm Intelligence Algorithms

Abstract

As a rule, approaches to managing the preparation of learners for programming Olympiads are not intended for intelligent interactive support from learning management and the software tools based on these approaches do not allow efficient processing of information for shaping individual and team preparation trajectories and providing this information to learners. This study proposes a method of organizing the intelligent management of preparation for programming Olympiads, based on the system-level approach, organizational systems control theory, and implementation of the entire IT specialist training cycle, including the phases of planning, organization, control, and motivation. It is proposed to adaptively shape learning trajectories and adjust them on the basis of swarm intelligence algorithms modified to include features for managing the training of learners for programming Olympiads. It is proposed to shape individual learning trajectories for participants in individual Olympiads on the basis of a modified firefly algorithm and team learning trajectories for participants in team Olympiads on the basis of a modified fish school search algorithm. It is also proposed to supplement the training process with recommendations and exercises selected by the results of psychological testing and intended to develop the personal and psychological qualities of the learners. The recommendations are followed throughout the preparation process until the threshold values of personal and psychological qualities necessary for participation in an Olympiad are reached.