Ontological approach to managing adaptive training for specialist groups

An integrated approach to solving the problems of managing the adaptive training process for groups of specialists is proposed, allowing for the consideration of changing external and internal factors, as well as the dynamics of changes in the specialists' training levels. This approach enables rapid adjustment of the training scenario to current situations. The implementation is based on ontological and predictive modeling of the adaptive training process. The article describes the meta-ontology for adaptive training of specialist groups in organizational and technical systems for automated training process management. It discusses an approach to solving problems of collecting, summarizing, and analyzing the cycle of intelligent management of adaptive training for specialist groups using meta-ontology. The developed meta-ontology enables automatic determination of trainees' knowledge and skills, stored in their profiles and updated based on completed training stages. This increases the efficiency of forming control actions (educational and training tasks) and improves the quality of training.