2019, Vol. 6, No. 4. - go to content...

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DOI: 10.15862/21INOR419 (https://doi.org/10.15862/21INOR419)

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Kurzaeva L.V., Chusavitina G.N. Methodology of developing an ontological model for the formation of content and assessment of ICT competencies of university students. Russian journal of resources, conservation and recycling. 2019; 6(4). Available at: https://resources.today/PDF/21INOR419.pdf (in Russian). DOI: 10.15862/21INOR419

Methodology of developing an ontological model for the formation of content and assessment of ICT competencies of university students

Kurzaeva Lubov Viktorovna
Nosov Magnitogorsk state technical university, Magnitogorsk, Russia
E-mail: lkurzaeva@mail.ru

Chusavitina Galina Nikolaevna
Nosov Magnitogorsk state technical university, Magnitogorsk, Russia
E-mail: gala_m27@mail.ru

Abstract. The relevance of the work is confirmed by the need to ensure that vocational training meets the requirements of formal and non-formal, difficult to coordinate requirements of the education system and the labor market. The article proposes one way to solve this problem in the framework of control theory and knowledge engineering. A methodology for developing an ontological model is proposed and described for the formation of the content and assessment of ICT competencies of university students, based on two basic ideas: first, the definition of the boundaries of the subject area of competencies, for which the content and means of assessment are formed on the basis of harmonized regulatory framework (boundaries are defined by invariant and variant documents.); secondly, a mechanism for taking into account personal characteristics and needs in order to build an individual trajectory of professional education and self-training should be conceptualized and preliminarily designed. An ontological model developed based on this technique is presented for forming the content and evaluating the competencies of IT specialists using the example of the subject field “IT solutions for business on the 1C: Enterprise platform”. The development of the research topic is possible in the direction of expanding the functionality of the ontological model in terms of preparing for certification exams from venders, adding other areas of preparation and adding other subject areas. The knowledge base created based on the ontological model can become part of intelligent information systems of decision support for education systems and corporate training, as well as HR management. This article will be of interest to specialists involved in the development of new tools and methods for managing the educational process and self-learning processes in distance education systems.

Keywords: ontological model; knowledge base; ontological knowledge base; knowledge engineering; requirements for learning outcomes; assessment of learning outcomes; professional standards

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