Version 1
: Received: 6 October 2021 / Approved: 8 October 2021 / Online: 8 October 2021 (13:24:14 CEST)
How to cite:
Poletaykin, A. N.; Sinitsa, S. G.; Danilova, L. F.; Shevtsova, Y. V.; Dvurechenskaya, N. A. Information Technology for the Intelligent Analysis of Labor Market and Educational Content Matching. Preprints2021, 2021100143. https://doi.org/10.20944/preprints202110.0143.v1
Poletaykin, A. N.; Sinitsa, S. G.; Danilova, L. F.; Shevtsova, Y. V.; Dvurechenskaya, N. A. Information Technology for the Intelligent Analysis of Labor Market and Educational Content Matching. Preprints 2021, 2021100143. https://doi.org/10.20944/preprints202110.0143.v1
Poletaykin, A. N.; Sinitsa, S. G.; Danilova, L. F.; Shevtsova, Y. V.; Dvurechenskaya, N. A. Information Technology for the Intelligent Analysis of Labor Market and Educational Content Matching. Preprints2021, 2021100143. https://doi.org/10.20944/preprints202110.0143.v1
APA Style
Poletaykin, A. N., Sinitsa, S. G., Danilova, L. F., Shevtsova, Y. V., & Dvurechenskaya, N. A. (2021). Information Technology for the Intelligent Analysis of Labor Market and Educational Content Matching. Preprints. https://doi.org/10.20944/preprints202110.0143.v1
Chicago/Turabian Style
Poletaykin, A. N., Y. V. Shevtsova and N. A. Dvurechenskaya. 2021 "Information Technology for the Intelligent Analysis of Labor Market and Educational Content Matching" Preprints. https://doi.org/10.20944/preprints202110.0143.v1
Abstract
The article explores the task of making higher education more profession-oriented. In this context, we consider the technology of structuring and matching professional activities and content of professional education curricula with the help of ontology. This technology employs intelligent analysis of labor market and educational content matching with the aim to organize educational programs and verify professional competences based on their ontological properties. The article also considers development of a professional training cognitive map that can help design the student’s personalized educational trajectory factoring in the given parameters.
Keywords
field of professional activity; parsing; educational content; professional requirements; ontology; content markup; intelligent analysis
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.