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I. S. Nikiforov, INTELLIGENT SUPPORT FOR SPECIALIZATION
Journal_eng » Journal 33 : I. S. Nikiforov, INTELLIGENT SUPPORT FOR SPECIALIZATION |
Views: 842 UDC 159.9. DOI 10.25688/2223-6872.2020.33.1.06
INTELLIGENT SUPPORT FOR SPECIALIZATION
I. S. Nikiforov, IT-company BCC, St. Petersburg,
As a result of the analysis conducted in the article, and it was found out that a specialist needs information support at various stages of his/her lifetime. The model of changing individual characteristics in dependence on the cost of a certain resource has been developed to adequately support an individual learning process. A method was suggested, and a model was developed to evaluate self-motivation of a person as applied to the process of his/her enhancement of a certain characteristic, which depends both on the already achieved level, i. e. a result-based approach, and a rate of change of such characteristic at a given moment, i.e. a process-based approach. Based on the developed model a procedure can be suggested for identifying a correct moment for intervention into the training process through managing motivation by means of a resource or changes in training technology. A multi-dimensional model was developed for characteristics specified by job requirements, and was represented as a radar chart showing both minimum and maximum requirements. Based on this representation, which is easy for understanding and very illustrative, a set of models was developed on how a certain applicant fits for job requirements, and a classification of applicants (ideal, job-ready, well-qualified, ordinary, under-qualified) was suggested. An aggregate algorithm was developed to evaluate suitability of a specialist for requirements of a certain job based on the evaluation of applicant's skills to adapt to specific characteristics and resources required. When making such evaluations it is necessary to compare existing and maximum attainable applicant's characteristics to the values of such characteristic necessary to perform specific job both minimum for mastering this job, and maximum necessary to perform successfully. We have identified issues, which are not supported with generally held scientifically proven approaches and problem solving methods now. An approach was suggested on how to arrange the information support for decision-making process (related to learning path, applicants, resource intensity) accompanying a specialist throughout his/her entire lifetime. The results obtained are an important part of methodology of the information support during the specialization process.
Keywords: models; information support; characteristics; motivation; management; evaluations; professional learning path; problems. For citation: Nikiforov I. G. Intelligent Support for Specialization // Systems Psychology and Sociology. 2020. № 1 (33). P. 74-84. DOI 10.25688/2223-6872.2020.33.1.06
Nikiforov Igor Sergeevich, PhD in Technical Sciences, Associated Executive-coach at the Center of coaching of Moscow school of economics SKOLKOVO, General manager of IT-company BCC, St. Petersburg, Russia. E-mail: nis772@gmail.com
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