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Developing typical profiles of generation Z students to improve the quality of the educational process

https://doi.org/10.32517/0234-0453-2023-38-6-5-13

Abstract

Global digital platforms that influence the development of local digital platforms (from national-level platforms to the platform of a particular enterprise), in order to be more effective, must take into account the informational requirements of users, including those determined by their emotional and psychological characteristics. For this purpose, their developers need to know the typical emotional and psychological profiles of users.

The construction of typical emotional and psychological profiles of Generation Z learners is necessary for correct and efficient operation of information and educational platforms, in particular, adaptive e-learning environments, which, among other things, implement gamification approaches.

To identify the above-mentioned profiles of Generation Z learners, we use R. Cattell’s multifactor testing methodology (form C) and subsequent processing of the obtained results using statistical methods (in the form of cluster analysis). To ensure the representativeness of the results, the study involved 994 students from various universities (the survey results were used in an impersonal form).

The analysis of clustering results makes it possible to identify the share of students who are able to independently form new knowledge and obtain original results of intellectual activity, to determine the share of students with a pragmatic attitude to life, as well as those who possess the qualities of business leadership, etc.

Based on these results, recommendations for improving the quality of the educational process as a special case of adaptive e-learning environment are formulated.

About the Authors

I. M. Lerner
Kazan National Research Technical University named after A. N. Tupolev-KAI
Russian Federation

Ilya M. Lerner, Candidate of Sciences (Physics and Mathematics), Associate Professor at the Nanotechnologies in Electronics Department, Institute of Radio Electronics, Photonics and Digital Technologies

Kazan



F. Yu. Baykov
State University of Management
Russian Federation

Fedor Yu. Baykov, Junior Researcher at the Research Coordination Department

Moscow



E. A. Karelina
State University of Management
Russian Federation

Ekaterina A. Karelina, Candidate of Sciences (Economics), Docent, Associate Professor at the Department of World Economy and International Economic Relations, Institute of Economics and Finance

Moscow



S. G. Grigoriev
Moscow City University
Russian Federation

Sergey G. Grigoriev, Corresponding Member of RAE, Doctor of Sciences (Engineering), Professor, Professor at the Department of IT, Management and Technology, Institute of Digital Education

Moscow



A. S. Sychev
Kazan National Research Technical University named after A. N. Tupolev-KAI
Russian Federation

Alexander S. Sychev, Assistant at the Nanotechnologies in Electronics Department, Institute of Radio Electronics, Photonics and Digital Technologies

Kazan



S. S. Dymkova
Moscow Technical University of Communications and Informatics
Russian Federation

Svetlana S. Dymkova, Сandidate of Science (Engineering), Deputy Head of the Department of Organization of Scientific Work and Publication Activity, Research Unit

Moscow



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Review

For citations:


Lerner I.M., Baykov F.Yu., Karelina E.A., Grigoriev S.G., Sychev A.S., Dymkova S.S. Developing typical profiles of generation Z students to improve the quality of the educational process. Informatics and education. 2023;38(6):5-13. (In Russ.) https://doi.org/10.32517/0234-0453-2023-38-6-5-13

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ISSN 0234-0453 (Print)
ISSN 2658-7769 (Online)