Development of student motivation for accumulating a knowledge base on strategic decisions in a digital educational environment
https://doi.org/10.32517/0234-0453-2025-40-5-70-79
Abstract
The study presented in the article aims to investigate the mechanisms for developing student motivation to accumulate a specialized knowledge base on strategic decisions in the context of informatics and digital educational technologies. Modern trends in digital transformation of higher education necessitate the formation of strategic thinking and decision-making capabilities in students under conditions of technological uncertainty. The purpose of the study is to identify key factors influencing students’ motivational processes when mastering strategic competencies and to develop an experimentally validated model of motivational intervention. The methodological basis consisted of a quasi-experimental design with control and experimental groups. The empirical base included 74 third-year students majoring in 02.03.02 “Fundamental Informatics and Information Technologies” and 44.03.02 “Psychological and Pedagogical Education” of Melitopol State University. The experiment employed an adapted the Academic Motivation Scale by R. Vallerand, a technological self-efficacy questionnaire, an original methodology for assessing strategic thinking in informatics, and adaptive learning technologies on the Moodle 4.1 platform. The study results demonstrate a statistically significant increase in intrinsic motivation in the experimental group by 31.4 % with a coefficient of determination R2 = 0.673. A strong positive correlation was established between technological self-efficacy level and motivation for knowledge accumulation (r = 0.796, p < 0.001). The theoretical significance of the work lies in expanding understanding of psychological and pedagogical mechanisms for forming motivation to accumulate specialized knowledge in a digital educational environment. The practical value of the study is determined by the possibility of applying the developed model to improve the effectiveness of educational programs in informatics and related disciplines.
Keywords
About the Authors
Yu. V. ShevchenkoRussian Federation
Yuri V. Shevchenko, Candidate of Sciences (Education), Docent, Leading Researcher
Melitopol
L. Yu. Moskalyova
Russian Federation
Lyudmila Yu. Moskalyova, Doctor of Sciences (Education), Professor, Vice-Rector for Research and Innovation, Professor at the Department of Pedagogy and Psychological and Pedagogical Education
Melitopol
T. S. Troitskaya
Russian Federation
Tamara S. Troitskaya, Doctor of Sciences (Philosophy), Professor, Chief Researcher, Research Institute of Philosophy and Methodology of Education
Melitopol
E. M. Troitskaya
Russian Federation
Elena M. Troitskaya, Doctor of Sciences (Philosophy), Professor, Professor at the Department of Pedagogy and Psychological and Pedagogical Education
Melitopol
References
1. Tsyrenova V. B., Lumbunova N. B. Managing students’ learning motivation in the digitalization context. Tomsk State University Journal. 2021;(470):203–209. (In Russian.) EDN: IQGSNX. DOI: 10.17223/15617793/470/24.
2. Shutenko E. N., Shutenko A. I. Didaskological format of digitalization of university training as an activation factor of students’ personal potential. Perspectives of Science and Education. 2023;(6(66)):32–46. (In Russian.) EDN: OYODOS. DOI: 10.32744/pse.2023.6.2.
3. Semenii N. O. Digital tools as a means for increasing motivation of future teachers’ professional activity. Information Technologies and Learning Tools. 2022;88(2):229–238. DOI: 10.33407/itlt.v88i2.4815.
4. Gerasimova E. K., Zorin S. L., Kobeleva G. A., Mamaeva E. A. Designing a personalized educational model while working with digital technologies. Perspectives of Science and Education. 2020;(5(47)):398–412. EDN: JCBKHO. DOI: 10.32744/pse.2020.5.28.
5. Krasheninnik I. V., Koniukhov S. L., Osadcha K. P., Chorna A. V., Serdiuk I. M. The impact of psychological and learning training on educational motives and reflective skills of future IT specialists. Journal of Physics: Conference Series. 2022;2288(1):012039. EDN: WTURWS. DOI: 10.1088/1742-6596/2288/1/012039.
6. Novikova I. A., Bychkova P. A., Novikov A. L., Shlyakhta D. A. Personality traits and academic motivation as predictors of attitudes towards digital educational technologies among Russian university students. RUDN Journal of Psychology and Pedagogics. 2022;19(4):689–716. EDN: GPDEXX. DOI: 10.22363/2313-1683-2022-19-4-689-716.
7. Shcherbatykh S. V., Lykova K. G., Igonina E. V., Simonovskaya G. A. Development of cognitive mobility when teaching probability theory and mathematical statistics to students using digital solutions. Perspectives of Science and Education. 2025;(2(74)):175–192. (In Russian.) EDN: MHGEJW. DOI: 10.32744/pse.2025.2.12.
8. Shutenko E. N., Shutenko A. I., Vorotintseva D. A. The influative model of activating the personal potential of students through the use of information technology in higher education. Perspectives of Science and Education. 2022;(5(59)):143–165. (In Russian.) EDN: CAFJQV. DOI: 10.32744/psе.2022.5.9.
9. Rudenko E., Sagajdachnaya E., Shamraeva K. Motivational component of educational activity in the context of a new educational network paradigm. E3S Web of Conferences. 2021;273:12063. EDN: WNQUDB. DOI: 10.1051/e3sconf/202127312063.
10. Andreev V. V., Gorbunov V. I., Evdokimova O. K., Rimondi G. Transdisciplinary approach to improving study motivation among university students of engineering specialties. Education and Self-Development. 2020;15(1):21–37. EDN: AWEJBU. DOI: 10.26907/esd15.1.03.
11. Ponomarenko T., Zelenin V. Implementation of information and communication technologies in the process of future psychologists’ training in consideration of their learning motivation. International Journal of Information and Education Technology. 2022;12(4):352–358. EDN: DFFPLK. DOI: 10.18178/ijiet.2022.12.4.1626.
12. Jurinová Ja. Improving the quality of education in the development of algorithmic and critical thinking of students of “Applied Informatics” — case study. International Journal of Engineering Pedagogy. 2023;13(7):79–95. EDN: HWTZIK. DOI: 10.3991/ijep.v13i7.37749.
13. Rabadanova R. S., Kagosyan A. S., Karmanova Zh. A., Rabadanova Z. M., Titov V. Motivational support as a factor of formation of students’ professional competence in the conditions of digitalization of education. Política e Gestão Educacional. 2022;26(S2):e022052. EDN: JRCDCP. DOI: 10.22633/rpge.v26iesp.2.16547.
14. Suvorova E. Yu. The digital generation: New educational needs. Informatics and Education. 2021;36(6):38–42. (In Russian.) EDN: ESKKNP. DOI: 10.32517/0234-0453-2021-36-6-38-42.
15. Galynska O. M., Shkoliar N. V., Dziubata Z. I., Kravets S. V., Levchyk N. S. Innovative teaching technologies as a way to increase students’ competitiveness. International Journal of Education and Information Technologies. 2021;15:215–226. DOI: 10.46300/9109.2021.15.22.
16. Dvoryatkina S. N. A model of teaching mathematics with the effect of developing the probabilistic style of thinking in a digital educational environment: theoretical justification and empirical verification. RUDN Journal of Psychology and Pedagogics. 2022;19(2):352–366. EDN: GKWLVI. DOI: 10.22363/2313-1683-2022-19-2-352-366.
17. Toktarova V. I., Popova O. G. An analysis of educational data on the correlation between learning success and students’ behavior in the university digital educational environment. Informatics and Education. 2022;37(4):54–63. (In Russian.) EDN: ESVZJD. DOI: 10.32517/0234-0453-2022-37-4-54-63.
18. Shipunova O. D., Berezovskaya I. P., Kedich S. I., Popova N. V., Kvashenko N. Y. Intelligent human information behavior in e-learning system. ACM International Conference Proceeding Series. Proc. 2021 2nd Int. Conf. on Artificial Intelligence and Information Systems, ICAIIS 2021. 2021:3469215. EDN: VEEURF. DOI: 10.1145/3469213.346921.
19. Novikova I., Bychkova P. Attitudes towards digital educational technologies, academic motivation and academic achievements among Russian university students. Communications in Computer and Information Science. 2022;1503:280–293. EDN: WYLFQE. DOI: 10.1007/978-3-030-93715-7_20.
20. Tokanov M., Damekova S., Kuttykozhayeva Sh., Abdoldinova G., Smagulov Ye. Information and communication technology integration and teaching mathematics in higher education. Journal on Mathematics Education. 2022;13(4):739–752. EDN: HPWWXI. DOI: 10.22342/jme.v13i4.pp739-752.
21. Zakharova I. G., Vorobeva M. S., Boganyuk Yu. V. Support of individual educational trajectories based on the concept of explainable artificial intelligence. Education and Science. 2022;24(1):163–190. (In Russian.) EDN: IOBYEJ. DOI: 10.17853/1994-5639-2022-1-163-190.
22. Pudovkina O. E., Scherbakov E. S., Bratukhina E. A., Kolesova Yu. A. Formation of intellectual information and knowledge qualities based on digital educational services. In: Mantulenko V. V., Horák J., Kučera J. (eds) Proc. of the XI Int. Scientific Conf. “Digital Transformation of the Economy: Challenges, Trends and New Opportunities” (ISCDTE 2024). Lecture Notes in Networks and Systems. 2024;1064:3–12. EDN: KELAOX. DOI: 10.1007/978-3-031-65659-0_1.
23. Panferov V. N., Bezgodova S. A., Vasileva S. V., Ivanov A. S., Miklyaeva A. V. Efficiency of learning and academic motivation of students in conditions of online interaction with the teacher (on the example of video-lecture). Social Psychology and Society. 2020;11(1):127–143. (In Russian.) EDN: CJLVHL. DOI: 10.17759/sps.2020110108.
Review
For citations:
Shevchenko Yu.V., Moskalyova L.Yu., Troitskaya T.S., Troitskaya E.M. Development of student motivation for accumulating a knowledge base on strategic decisions in a digital educational environment. Informatics and education. 2025;40(5):70-79. (In Russ.) https://doi.org/10.32517/0234-0453-2025-40-5-70-79























