The work is devoted to solving the current scientific and applied problem, which is connected with improving the system of training specialists for smart industries needs by creating information technology for the development of the continuity education adaptive system.
The need for continuous training of employees for smart industries is especially acute. At such enterprises, a significant place is given to cyber-physical systems, robotics, and other complex areas and technologies. Attempts to implement this solutions have revealed an acute shortage of professionals who can work at the intersection of several specialties. It becomes clear that the concept of profession is outdated. A set of competencies, both social and professional, comes to the fore, which is often a symbiosis of competencies of several professions.
To achieve the goal of improving the education system for the smart industries needs by creating information technology for the development of the continuing education adaptive system, the following tasks were solved:
For the first time:
• a conceptual model of the continuing education adaptive system for smart industries has been developed;
• the information technology for the development of the continuing education adaptive system for smart industries has been designed;
• a scientific-methodological approach to evaluating and increasing the efficiency of the continuing education adaptive system for smart industries has been developed. As part of the development of this approach, a model of the process of evaluating the effectiveness of the continuing education adaptive system for smart industries is proposed, which together with the methods of the Theory of Constraints formalizes the process of evaluating and increasing the effectiveness of the continuing education adaptive system for smart industries.
Improved:
• the model of the continuing education process. The improved model, in contrast to the previously known ones, allows to determine the functions of the main stakeholders of the continuing education at each stage of the continuing education process and to create an adaptive sequence of actions for learning in complex areas;
• the method of constructing the Personalized Adaptive Learning Pathway in complex areas. In contrast to the existing ones, the proposed approach allows to carry out: management of the educational process by the student; construction of the educational process taking into account the existing competencies, level of education, terms of training and other criteria; evaluation of the planned activities effectiveness; implementation of an action plan for educational products modernization/renewal by educational services providers;
Further developed:
the method of competence profile management. This method, in contrast to the previously known, makes it possible to model and manage both the competency profile of positions and the competency profile of the person/applicant.
The proposed information technology is based on models, methods and scientific-methodological approach proposed and developed in the dissertation, which focus primarily on the needs of the smart industry market, but can be useful for any other industry where there is a need for constant updating the existing competencies of employees, as well as their training and retraining in complex areas.
Thus, the conceptual model of an adaptive system of continuing education for smart industries will formalize the distribution of functions between base stakeholders of the continuing education system; formalize the impact of the continuing education system stakeholders at each stage of the continuing education process. The continuing education process model will formalize the continuing education sequence of stages, determine the continuing education stakeholders' functions at each stage of the continuing education process and create an adaptive sequence for learning in complex areas. The method of competence profile management allows the modeling and management of the competence profile of positions and the competence profile of a person/student in accordance with the activities that take place in the company. The Personalized Adaptive Learning Pathway method in complex areas offered in work will allow effectively organize and adapt the training process to the education applicant and the smart industries market needs. The developed scientific-methodological approach to evaluating and increasing the effectiveness of the continuing education adaptive system for smart industries allows us to appreciate and answer the key stakeholders' needs in the continuing education system and constantly increasing the effectiveness of the continuing education adaptive system for smart industries.
Keywords: competence, competency, smart industry, continuing education, adult education, efficiency assessment, competence profile, continuing education adaptive system, personalized adaptive learning pathway.
