Building a specialist's knowledge model in the digital economy
Международный журнал Программные продукты и системы
The purpose of the study is to investigate the problem of forming a training standard and the construction of a higher education specialist knowledge model. These problems are considered important when managing the process of professional personnel training for the digital economy. The authors used the methods of system analysis, the theory of active systems, the theory of information management, coordinated management in organizational systems, methods and approaches of the artificial
... artificial intelligence theory. The research shows that Russia's entry into the Bologna Process caused some downturns. Specialists' training effectiveness and quality has become lower. It has become difficult to integrate higher education institutions into a new social and economic system of the country. Specialists' training goals, including the goals at all training stages, do not conform to the goals of economic entities. At the same time, universities are the ones who are mainly responsible for training specialists who meet the requirements of the digital economy. One of the ways to overcome these downturns might be the transition of universities to the design and technological type of work organization. Then the most promising form of educational project management is the implementation of the model of information interaction between parties concerned (organizations and universities) within the framework of active self-developing network expert environments. The paper presents the structure of an active self-developing network expert environment and its functioning principles when forming specialist's model standards and knowledge. This approach allows considering the construction of training standards and development of a specialist knowledge model in the context of corporate intellectual potential management strategies. The implementation of this approach is a multi-stage process of collecting, analyzing, evaluating and processing large amounts of information. The authors propose a system that provides searching, filtering, summarizing information, determining its value and prospects. It is established that the method of improving the quality of educational project decisions is the synthesis of network expertise technologies and the methodology of the theory of active systems. The paper shows that the effective formation of training standards and a specialists' knowledge model is possible within the framework of self-organizing expert environments that are presented as active systems with heterogeneous agents with a counter method of communicating information with the active influence of the center. The effective implementation of this approach implies changing the goals of the higher education system from meeting the needs for training higher education personnel шт order to develop an innovative economy. This will ensure the interaction of universities and organizations in the management of their intellectual capital in the digital economy on a new legislative basis.