Включение социально и профессионально значимых качеств студентов вузов в цифровые профили для использования работодателями

This article presents criteria that can be used to represent the socially- and professionally-significant competences of higher education students. The criteria represent the generalized indicators of the affective component of the competence model (one of three components: affective, cognitive and behavioral). The purpose of such diagnostics is to collect objective and necessary information about the student to be used in their digital profile. To address this problem, we applied methods of bibliometric analysis, visualization and mapping of the network of scientific articles in four databases (Dimensions, PubMed, Science direct, JSTOR) using VOSviewer software. Despite the large number of scientific works identified, no studies concerning the competence model of higher education students for the formation of the content of their digital profile of publications were found. Hence, the current study also developed a criterion system, indicators, and diagnostic tools for two generalized indicators – namely socially important competences and professionally important competences – of the affective component of the competence model of university graduate. To validate the models, their applicability was assessed, as well as practical verification tools and technological diagnostic procedures. As a result, despite its complexity and complexity, the benefits of its use in higher education offerings have been confirmed. Therefore, understanding digital profiles of university students as both a tool and means of electronic communication between the university and business structures benefits all stakeholders, primarily employers

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Publication Details

Journal
SibFU Digital Repository (Siberian Federal University)
Published
2025-12-01
Primary Topic
Competency Development and Evaluation
Type
article
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article

Включение социально и профессионально значимых качеств студентов вузов в цифровые профили для использования работодателями

Gulvira AKYBAYEVA, А.А. Смолянинов, Bakhytgul A. Zhetpisbayeva, Artem Smolyaninov et al.
SibFU Digital Repository (Siberian Federal University)
Competency Development and Evaluation
article

Включение социально и профессионально значимых качеств студентов вузов в цифровые профили для использования работодателями

Gulvira AKYBAYEVA, А.А. Смолянинов, Bakhytgul A. Zhetpisbayeva, Artem Smolyaninov, Б.А. Жетписбаева, Lyailya S. Syrymbetova, Л. С. Сырымбетова, Г. С. Акыбаева
article en

Abstract

This article presents criteria that can be used to represent the socially- and professionally-significant competences of higher education students. The criteria represent the generalized indicators of the affective component of the competence model (one of three components: affective, cognitive and behavioral). The purpose of such diagnostics is to collect objective and necessary information about the student to be used in their digital profile. To address this problem, we applied methods of bibliometric analysis, visualization and mapping of the network of scientific articles in four databases (Dimensions, PubMed, Science direct, JSTOR) using VOSviewer software. Despite the large number of scientific works identified, no studies concerning the competence model of higher education students for the formation of the content of their digital profile of publications were found. Hence, the current study also developed a criterion system, indicators, and diagnostic tools for two generalized indicators – namely socially important competences and professionally important competences – of the affective component of the competence model of university graduate. To validate the models, their applicability was assessed, as well as practical verification tools and technological diagnostic procedures. As a result, despite its complexity and complexity, the benefits of its use in higher education offerings have been confirmed. Therefore, understanding digital profiles of university students as both a tool and means of electronic communication between the university and business structures benefits all stakeholders, primarily employers

SibFU Digital Repository (Siberian Federal University)
Openalex Percentile: Top 27%
Competency Development and Evaluation
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