Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Information Technology for the Intelligent Analysis of Labor Market and Educational Content Matching

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. Preprints 2021, 2021100143 (doi: 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 (doi: 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 & Systems Engineering

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