COGNITIVE MODELING OF KNOWLEDGE MANAGEMENT MECHANISMS IN THE TRAINING OF SPECIALISTS
DOI:
https://doi.org/10.30837/ITSSI.2020.14.086Keywords:
knowledge management, cognitive technologies, educational process, educational programs, cognitive analysisAbstract
The subject of research in this article is knowledge management in the training of specialists in project-oriented organizations, in particular, higher education institutions. The purpose of the work is to develop a cognitive model of knowledge management for the formation of educational programs in the training system. Objectives of the study: to consider the concepts and mechanisms of knowledge management of organizations; to form a cognitive model of the knowledge management mechanism; to consider system indicators of cognitive model; to analyze the structural features of the cognitive model. The following methods are used in the work: project management methodology (knowledge management areas), system approach, cognitive and graph models. Results. The article provides a definition of "knowledge management", discusses the conditions under which the necessary knowledge and information will be available to perform tasks. The issue of consideration the specifics and features of the educational institution is discussed. Knowledge management methods are used in the construction of the educational process at the university. The main functions in the practical activities of the organization are given: mediation, export, internalization, cognition. Forms of practical implementation of knowledge management are also considered: educational organization, knowledge library and strategic awareness. The article also considers the possibility of the main provisions of the theory of knowledge management in the educational process, as improving the quality of training is the goal of any educational system. The article develops a cognitive model of the knowledge management mechanism, on the basis of cognitive analysis revealed useful patterns that reflect the influence of factors of different physical nature on the results of training. Conclusions. Cognitive modeling can be the key to rapidly improving the effectiveness of knowledge management in training. The classical approach to knowledge management requires a high level of employee involvement in relevant processes, as they need to identify knowledge, share it, record it and apply it. Cognitive modeling can reduce this requirement as it streamlines the processes of identifying, capturing, storing, and sharing knowledge. In addition, they increase the applicability of knowledge by offering appropriate context for the student. The accumulated experience of cognitive modeling of complex organizational management systems allows on a fundamental basis to approach the study of knowledge management mechanisms in the training of specialists. It is proposed to use the obtained results to configure knowledge management mechanisms in order to improve the quality of training.
References
Piterska, V., Lohinov, O., Lohinova, L. (2020), "Conceptual model of project-oriented management of educational activities of higher education institutions", Innovative Technologies and Scientific Solutions for Industries, No. 1 (11), P. 59–67. DOI: https://doi.org/10.30837/2522-9818.2020.11.059
Chernova, L. (2019), "Key competence as a basis for innovation projects management", Innovative Technologies and Scientific Solutions for Industries, No. 1 (7), P. 113-120. DOI: https://doi.org/10.30837/2522-9818.2019.7.113
Ilyin, O. O. (2017), "Cognitive model and method of management of indicators of professional activity of educational and pedagogical workers for increase of competitiveness of graduates of university", International Scientific and Practical Conference World science, ROST, Vol. 1, No. 8, P. 41–49.
Avdeeva, Z. K., Kovriga, S. V., Makarenko, D. I., Maksimov, V. I. (2007), "The cognitive approach to management" ["Kognitivnyy podkhod v upravlenii"], Problems of management, No. 3.
Magazov, S. S. (2000), "Functional diagram of the cognitive model" ["Funktsional'naya skhema kognitivnoy modeli"], Artificial Intelligence, Vol. 3, P. 257–262.
Parzhin, Yu., Kosenko, V., Podorozhniak, А., Malyeyeva, О., Timofeyev, V. (2020), "Detector neural network vs connectionist ANNs", Neurocomputing, Vol. 414, 13 November 2020, P. 191–203. DOI: https://doi.org/10.1016/j.neucom.2020.07.025
Malyeyeva, O., Nosova, N., Fedorovych, O., Kosenko, V. (2019), "The semantic network creation for an innovative project scope as a part of project knowledge ontology", CEUR Workshop Proceedings, No. 2362, available at : http://ceur-ws.org/Vol-2362/paper27.pdf
Chukhrai, N., Mrykhina, O. (2017), "Developing technologies on the basis of knowledge transformation chains", Innovative Technologies and Scientific Solutions for Industries, No. 2 (2), P. 145–154. DOI: https://doi.org/10.30837/2522-9818.2017.2.145.
Malieieva, J., Kosenko, V., Malyeyeva, O., Svetlichnyj, D. (2019) "Creation of collaborative development environment in the system of distance learning", Innovative Technologies and Scientific Solutions for Industries, No. 2 (8), P. 62–71. DOI: https://doi.org/10.30837/2522-9818.2019.8.062.
Marinicheva, M. K. (2008), 100% Knowledge Management: A Guide for Trainees [Upravleniye znaniyami na 100% : Putevoditel' dlya praktikantov], Moscow: Alpina Business Books, 320 p.
Koulolos, T. T., Frappaolo, K. (2008), Knowledge Management [Upravleniye znaniyami] / Transl. from English, Moscow, 224 p.
Tesla, Yu. M., Khlevna, Yu. L., Yegorchenkova, N. Yu. (2016), "Knowledge management in meta-methodology of project management" ["Upravlinnya znannyamy v meta-metodolohiyi upravlinnya proektamy"], Project management and production development: Coll. Science, Lugansk : Published by SNU. V. Dalia, No. 4 (60), P. 53–61.
Bushuev, S. D., Bushueva, N. S. (2003), "Project management methodology as a universal model of knowledge" ["Metodolohyya upravlenyya proektamy kak unyversalʹnaya modelʹ znanyy"], Project management and production development. Coll. Science, Lugansk : Published by SNU. V. Dalia, No. 3 (8), P. 5–12.
Babayev, I. A. (2004), "Tools for modeling knowledge in project management" ["Ynstrumenty modelyrovanyya znanyy v upravlenyy proektamy"], Project management and production development. Coll. Science, Lugansk : Pblished by SNU. V. Dalia, No. 2 (10), P. 10–24.
Glubokova, E. N. (2009), "Knowledge management as a basis for building the educational process in a modern university" ["Upravleniye znaniyami kak osnova postroyeniya obrazovatel'nogo protsessa v sovremennom universitete"], Bulletin of the Russian State Pedagogical University named by A.I. Herzen, SPb., No. 100, P.48–56.
Silov, V. B. (1995), Making strategic decisions in a fuzzy environment [Prinyatiye strategicheskikh resheniy v nechetkoy obstanovke]: monograph, Moscow, INPRO-RES, 228 p.
Smirnova, E. E., Nadezhdin, E. N. (2016), "Fuzzy cognitive model of the mechanism for the formation of professional competencies of the future bachelor of economics" ["Nechetkaya kognitivnaya model' mekhanizma formirovaniya professional'nykh kompetentsiy budushchego bakalavra ekonomiki"], Information of education and science, No. 1 (29), P. 175– 184.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Liubava Chernova, Lyudmyla Chernova
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Our journal abides by the Creative Commons copyright rights and permissions for open access journals.
Authors who publish with this journal agree to the following terms:
Authors hold the copyright without restrictions and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-commercial and non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
Authors are permitted and encouraged to post their published work online (e.g., in institutional repositories or on their website) as it can lead to productive exchanges, as well as earlier and greater citation of published work.
