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

A. N. Poletaykin; S. G. Sinitsa; L. F. Danilova; Y. V. Shevtsova; N. A. Dvurechenskaya

doi:10.20944/preprints202110.0143.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 6 October 2021 / Approved: 8 October 2021 / Online: 8 October 2021 (13:24:14 CEST)

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.

field of professional activity; parsing; educational content; professional requirements; ontology; content markup; intelligent analysis

Engineering, Control and Systems Engineering

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

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