Combined Method of Cognitive Assessment of the Specialist Professional Potential

Abstract

An important issue that arises before every person is the choice of a profession. It is obvious that the potential of success in different areas can be influenced both by the knowledge and skills acquired in the process of study, as well as the character traits of a person. The article proposes an intelligent predictive system that allows to assess the student's capabilities in the area of analytics. The topic relevance is explained by the need to increase the importance of connection between the employer and the university on the formation of knowledge, skills and abilities of the student that are in demand on the labor market. When designing the prognostic structure of the system, a hybrid intellectual approach is used that combines the advantages of known methods. It includes a neural network model and a method of accounting of arguments groups. The most demanded professions in the labor market have been identified. Professional skill maps are compiled, based on the description of the requirements. The training samples of are supplemented with images generated by the Monte Carlo method. Using data on the student's progress in selected key disciplines, as well as other available information, the system offers a numerical equivalent of the potential for the declared professions. Such recommendation allows the student to timely and consciously adjust the orientation in the educational process, which positively affects the competitiveness of the labor resources produced by the higher education institution.