Personality Traits and Academic Motivation as Predictors of Attitudes towards Digital Educational Technologies among Russian University Students

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In the modern era of digitalization, the development and implementation of digital educational technologies (DETs) have constantly been at the center of numerous discussions among teachers, psychologists, sociologists, physicians, etc. Moreover, the COVID-19 pandemic has simultaneously made DETs an integral part of contemporary social life around the world. However, both before and during the COVID-19 pandemic, little attention was paid to the study of the motivational and personality characteristics of university students, which would make it possible to predict their attitudes towards DETs and the effectiveness of their use in learning. The present study involved 173 Russian university students (61% - females) of various specialties (natural sciences, medicine and psychology), aged 17 to 26 years. Their attitudes towards DETs were measured according to The University Students’ Attitudes towards DET Questionnaire developed by the authors. To reveal their educational motivation, The Academic Motivation Scales by Gordeeva et al. were used. Their personality traits were identified using The NEO Five-Factor Inventory (adapted in Russian by Biryukov and Bodunov). For statistical analysis, the descriptive statistics methods, Mann - Whitney U test, and multiple regression analysis were used. The results of the study have shown that the scales of academic motivation have a greater impact on attitudes towards DETs among the university students as compared to personality traits. However, there is a specificity of these impacts in the students of different specialties, particularly in psychological students. The findings of this study indicate that taking into account such psychological factors as students’ academic motivation and personality traits can contribute to the optimal implementation of DETs in the educational process in blended and online formats.

作者简介

Irina Novikova

Peoples’ Friendship University of Russia (RUDN University)

编辑信件的主要联系方式.
Email: novikova-ia@rudn.ru
ORCID iD: 0000-0001-5831-1547

Ph.D. in Psychology, Associate Professor, is Associate Professor at the Psychology and Pedagogics Department

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

Polina Bychkova

Peoples’ Friendship University of Russia (RUDN University)

Email: bychkova.polina.97@mail.ru
ORCID iD: 0000-0002-6526-7262

MA in Psychology, is graduate student at the Psychology and Pedagogics Department

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

Alexey Novikov

Peoples’ Friendship University of Russia (RUDN University)

Email: Novikov-al@rudn.ru
ORCID iD: 0000-0003-3482-5070

Ph.D. in Philology, Associate Professor, is Associate Professor at the General and Russian Linguistics Department

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

Dmitriy Shlyakhta

Peoples’ Friendship University of Russia (RUDN University)

Email: shlyakhta-da@rudn.ru
SPIN 代码: 6172-5460
Ph.D. in Psychology, Associate Professor, is Associate Professor at the Psychology and Pedagogics Department 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

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