Incorporation of Socially and Professionally Significant Qualities of University Students in Digital Profiles for Employers Use

Включение социально и профессионально значимых качеств студентов вузов в цифровые профили для использования работодателями
Syrymbetova L.S. Zhetpisbayeva B.A. Akybayeva G.S. Smolyaninov A.A.
2025 Siberian Federal University

Journal of Siberian Federal University - Humanities and Social Sciences
2025 #18 Issue 12 2608 - 2621 pp.

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.

affective component of the model , competence diagnostics , competence model , digital profile of a student , professionally important competences , socially important competences , student/graduate of higher education

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Karaganda University of Kazpotrebsoyuz, Karaganda, Kazakhstan
Astana IT University, Astana, Kazakhstan
Karaganda Buketov University, Karaganda, Kazakhstan
Siberian Federal University, Krasnoyarsk, Russian Federation

Karaganda University of Kazpotrebsoyuz
Astana IT University
Karaganda Buketov University
Siberian Federal University

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