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Innovative Potential in University Students: Differential Psychological Analysis

https://doi.org/10.21603/sibscript-2026-28-2-232-251

EDN: ZALVBF

Abstract

Innovative potential is a personal quality that develops during professional education. Its studies may help to design innovation development programs for higher education. This study on the innovative potential of university students featured the effect of gender and attitudes to innovations on the value, cognitive, cognitiveregulatory, metacognitive, and personal characteristics. A total of 331 university students in Tomsk were recruited for this empirical study (28% male, 72% female; Mage 21.2 years). They were subjected to the following techniques: The Self-Assessment of Personality’s Innovative Qualities Scale (Lebedeva & Tatarko); The Self-Organization of Activity Questionnaire (Mandrikova); The Revised Portrait Values Questionnaire (PVQ-R, Schwartz); The Big Five Questionnaire (Caprara et al., adaptation by Osin et al.); The Questionnaire of Metacognitive Resources of Human Behavior Regulation in Adverse Circumstances (Filenko & Bogomaz). Path analysis and the Mann–Whitney U test revealed the following structural features of innovative potential components and gender-based intergroup differences. For the male respondents, the main positive effect on the innovativeness index belonged to selfcontrol (standardized regression weight = 0.429) and self-direction (0.175). In the female students, the general effects on the innovativeness index depended on self-control (0.263) and stimulation (0.443). The male respondents demonstrated significantly higher indicators for the innovativeness index, creativity, taking risk for achievement, orientation to the future, openness to knowledge, and self-control. Female students received more points for such indicators as planning and tradition. K-means cluster analysis identified four distinct groups among the participants, significantly differing in their levels of innovativeness and associated psychological determinants: Proactive Innovators (20.2%), Adaptive Innovators (38.7%), Conservatives (21.5%), and Non-Adaptive Conservatives (19.6%). The regression analysis and the non-parametric criteria of difference (the Mann–Whitney U test; Kruskal–Wallis H test) made it possible to obtain specific quantitative and qualitative characteristics for each type. The study results can be used to develop personalized psychological and pedagogical programs for innovative activity in various groups of university students.

About the Authors

Igor A. Filenko
Tomsk State University
Russian Federation

Tomsk

Scopus Author ID: 57296247700


Competing Interests:

The authors declared no potential conflict of interests regarding the research, authorship, and / or publication of this article.



Inna V. Atamanova
Tomsk State University
Russian Federation

Tomsk

Scopus Author ID: 57211394316


Competing Interests:

The authors declared no potential conflict of interests regarding the research, authorship, and / or publication of this article.



Sergey A. Bogomaz
Tomsk State University
Russian Federation

Tomsk

Scopus Author ID: 6603772587


Competing Interests:

The authors declared no potential conflict of interests regarding the research, authorship, and / or publication of this article.



Eduard V. Galazhinsky
Tomsk State University
Russian Federation

Tomsk

Scopus Author ID: 55570344500


Competing Interests:

The authors declared no potential conflict of interests regarding the research, authorship, and / or publication of this article.



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Filenko I.A., Atamanova I.V., Bogomaz S.A., Galazhinsky E.V. Innovative Potential in University Students: Differential Psychological Analysis. SibScript. 2026;28(2):232-251. (In Russ.) https://doi.org/10.21603/sibscript-2026-28-2-232-251. EDN: ZALVBF

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