Paradigms of information technology impact on economic education
Article Sidebar
Issue Vol. 16 No. 2 (2026)
-
Performance evaluation of optimized deep learning model with Multilayered Max-Norm Regularization (MMNR) technique for brain tumour classification in MRI multi-modal images
Mulackal Chandran Binish, Vinu Thomas5-14
-
Stroke detection from brain CT-images and its volume visualization
Rithu James, Appukuttan Harsha, Liza Annie Joseph15-21
-
Adaptive filtering for noise reduction in photoplethysmography signals
Hicham Loumissi, Adil Barra, Najat Messaoudi, Othmane El Badlaoui, Bahloul Bensassi, Hicham Medromi22-25
-
Evaluation of informational diagnostic criteria and severity biomarkers using a discrimination model in patients with COVID-19
Gryhoriy Gradil, Oleg Avrunin, Kateryna Yurko, Natalia Shushlyapina, Yuliia Kalashnyk-Vakulenko, Mariia Shostatska, Aigul Iskakova26-31
-
Signal amplifiers in optical communication systems
Nurzhigit Smailov, Nurlybek Turar, Akezhan Sabibolda32-36
-
Analysis of underwater communication systems based on hybrid Li-Fi technology
Nurzhigit Smailov, Aizhan Urazgaliyeva, Akezhan Sabibolda37-43
-
Applying Box-Behnken design to research voice control automatic lighting systems
Oleksandr Burban, Mykola Polishchuk, Anatolii Tkachuk, Serhii Kostiuchko, Liliia Polishchuk, Valentyna Tkachuk44-49
-
Paddy fields detection on Sentinel-2 satellite images using EfficientDet model
Suvarna Vani Koneru, Kamal Epuri, Bhuvanesh Kakumanu, Ram Dinesh Aduri50-55
-
Models for assessing accuracy and reliability of fibre-optic gyroscope-based navigation systems
Maral Abulkhanova, Nurzhigit Smailov, Yerlan Tashtay, Gulbakhar Yussupova, Anar Khabay, Beibarys Sekenov, Akezhan Sabibolda56-60
-
Aggregation of multimodal log and metric streams for neuro-fuzzy anomaly detection in computer systems
Andrii Mishchenko, Oleksii Shushura, Alona Kolomiiets, Andrii Donets, Olena Kosaruk61-67
-
Static forensic analysis of file carving on SSDs uses NIST and ACPO method
Khoirul Anam Dahlan, Anton Yudhana, Herman Yuliansyah68-75
-
Fuzzy logic-based security risk assessment in wireless sensor networks of Industrial IoT
Olena Semenova, Natalia Kryvinska, Olha Voitsekhovska, Andrii Dzhus, Volodymyr Martyniuk76-83
-
Multicriteria optimisation of information protection system configuration based on the NSGA-II algorithm
Valeryi Lakhno, Myroslav Lakhno, Alona Desiatko, Bohdan Bebeshko84-90
-
Method of structural-block coding of tuple transformant video images
Volodymyr Barannik, Dmytro Uzlov, Yevhenii Yelisieiev, Valeriy Barannik, Nina Petrukha, Mykhailo Babenko, Dmitry Barannik, Vladyslav Kostromytskyi, Oleh Kompaniiets, Artem Bychenko91-101
-
Analysis of the increase in model forecasting accuracy after data normalization
Vladyslav Pylypenko, Vladyslava Skidan, Antonina Volivach102-106
-
Optimizing parameters for 4D hyperchaotic system using Walrus Optimizer Algorithm
Karam Adel Abed, Omar Saber Qasim, Saad Fawzi Al-Azzawi107-112
-
Iron coagulation optimization during water treatment using artificial intelligence tools
Andrii Safonyk, Ivan Tarhonii, Oleksandr Naumchuk, Vladyslav Danchenkov, Roman Zaichuk113-117
-
Optimisation of the generating capacity of droop-based DGs integrated into an isolated AC microgrid using metaheuristic algorithms to minimise power losses
Tuan-Ho Le, Tham X. Nguyen, Robert Lis, Muhammad Jamshed Abbass118-125
-
Chemical composition, structural and electrical properties of CdZnTeSe thick polycrystalline films
Yaroslav Znamenshchykov, Oleksii Lisovenko, Mykola Khvyshchun, Anatoliy Opanasyuk126-130
-
Substantiation of a new method for separation of bulk materials on a vibro-friction separator
Mykola Bakum, Serhii Kharchenko, Anatolii Mykhailov, Mykola Krekot, Taras Shchur, Oleg Dzhidzhora131-138
-
Software-based performance evaluation and forecasting of web applications using machine learning models
Liubov Oleshchenko139-144
-
Comparative analysis of Java unit and integration testing tools: JUnit, TestNG and Spock
Dawid Grabek, Jan Gryta, Mariusz Dzieńkowski145-151
-
Application of UML in the development process of computer games
Lyudmila Samchuk, Yuliia Povstiana, Yaroslav Tymoshchuk152-155
-
Design of digital cooking assistant system with modern voice generative AI model
Robert Banasiak, Zdzisława Rowińska, Wojciech Szczucki, Dawid Jantosz, Łukasz Rembowski156-161
-
Deep learning architectures for multiclass clothing recognition as the semantic core of automated virtual try-on systems
Roman Chekhmestruk, Olena Voitsekhovska, Svitlana Kyrylashchuk162-172
-
Knowledge model "Tags about batches and containers" of the ERP system "PlasmIS" with the possibility of self-improvement using local llm models
Oleh Bisikalo, Valerii Starzhynskyi, Tetiana Molodetska, Nelia Burlaka173-178
-
Paradigms of information technology impact on economic education
Artem Yurchenko, Inna Kharchenko, Volodymyr Shamonia, Vladyslav Bespalyi, Serhii Bohoslavskyi, Olena Semenikhina179-186
Archives
-
Vol. 16 No. 2
2026-06-30 27
-
Vol. 16 No. 1
2026-03-30 27
-
Vol. 15 No. 4
2025-12-20 27
-
Vol. 15 No. 3
2025-09-30 24
-
Vol. 15 No. 2
2025-06-27 24
-
Vol. 15 No. 1
2025-03-31 26
-
Vol. 14 No. 4
2024-12-21 25
-
Vol. 14 No. 3
2024-09-30 24
-
Vol. 14 No. 2
2024-06-30 24
-
Vol. 14 No. 1
2024-03-31 23
-
Vol. 13 No. 4
2023-12-20 24
-
Vol. 13 No. 3
2023-09-30 25
-
Vol. 13 No. 2
2023-06-30 14
-
Vol. 13 No. 1
2023-03-31 12
-
Vol. 12 No. 4
2022-12-30 16
-
Vol. 12 No. 3
2022-09-30 15
-
Vol. 12 No. 2
2022-06-30 16
-
Vol. 12 No. 1
2022-03-31 9
Main Article Content
Authors
a.yurchenko@fizmatsspu.sumy.ua
s.bohoslavskyi@fizmatsspu.sumy.ua
e.semenikhina@fizmatsspu.sumy.ua
Abstract
Economic education is changing under the influence of information technology, but research on this transformation remains thematically heterogeneous. The article aims to identify the main thematic paradigms and research trends in studies on the impact of information technology on economic education. The study is based on articles and conference proceedings indexed in the Web of Science database for 2015–2024. Publications were selected in the Abstract field using the query "information technology AND economic education". The final dataset included 1,749 documents, whose metadata were processed in VOSviewer. The bibliometric mapping revealed six thematic clusters: economic development, education and information technology; the social impact of IT and digital education; digital technologies, the labour market, and economic models; information literacy and the digital divide; policy, sustainable development, and technology strategies; and online learning, teaching, and educational technologies. The novelty of the study lies in structuring a fragmented research field and interpreting the identified clusters as broader paradigms of IT impact on economic education. The results indicate that economic education is increasingly discussed through digital transformation, human capital development, labour-market change, inclusion, and institutional adaptation. The main limitation is the focused search strategy, which did not include broader terms such as "digital education" or "EdTech" and therefore should be interpreted as a focused bibliometric mapping rather than an exhaustive review of the field.
Keywords:
References
[1] Antoniuk, D. S., Spirin, O. M., & Vakaliuk, T. A. (2023). Using digital business simulators in economic and managerial development of master’s in information technologies. Information Technologies and Learning Tools, 94(2), 72-86. https://doi.org/10.33407/itlt.v94i2.5172
[2] Aoujil, Z., Hanine, M., Flores, E. S., Samad, Md. A., & Ashraf, I. (2023). Artificial Intelligence and Behavioral Economics: A Bibliographic Analysis of Research Field. IEEE Access, 11, 139367–139394. https://doi.org/10.1109/ACCESS.2023.3339778
[3] Bygstad, B., Øvrelid, E., Ludvigsen, S., & Dæhlen, M. (2022). From dual digitalization to digital learning space: Exploring the digital transformation of higher education. Computers & Education, 182, 104463. https://doi.org/10.1016/j.compedu.2022.104463
[4] Carayannis, E., Sindakis, S., & Biginas, K. (2014). Entrepreneurial education, intelligence and competitiveness enabled by higher order technological learning (hotl) and strategic knowledge serendipity and arbitrage (skarse). EDULEARN14 Proceedings, 3766–3773. 6th International Conference on Education and New Learning Technologies. https://library.iated.org/view/CARAYANNIS2014ENT
[5] Danish, Khan, S., & Haneklaus, N. (2023). Sustainable economic development across globe: The dynamics between technology, digital trade and economic performance. Technology in Society, 72, 102207. https://doi.org/10.1016/j.techsoc.2023.102207
[6] Fernández Llera, R. (2023). Post-pandemic digital university: theory and application to two economic subjects. Revista Digital de Investigación en Docencia Universitaria, 17(1), e1603. https://doi.org/10.19083/ridu.2023.1603
[7] Habrusieva, N., Kryskov, A., & Aliluiko, S. (2025). Analysis of bibliometric data on study of the critical thinking phenomenon (Ukrainian-language Google Scholar content, 2020-2023). Physical and Mathematical Education, 40(2), 14–22. https://doi.org/10.31110/fmo2025.v40i2-02
[8] Hoang, D. C., Phuc, P. T., & Tha, T. H. (2022). Further Discussion On Educational Issues And Case Teaching Method For Economic Students Via Case Studies. Journal for Educators, Teachers and Trainers, 13(4), 120–130. https://doi.org/10.47750/jett.2022.13.04.018
[9] Jacobson, S. (2023). Ore money ore problems: A resource extraction game. The Journal of Economic Education, 54(2), 158–176. https://doi.org/10.1080/00220485.2023.2171521
[10] Jaswal, P., & Behera, B. (2024). Blended matters: Nurturing critical thinking. E-Learning and Digital Media, 21(2), 106–124. https://doi.org/10.1177/20427530231156184
[11] Johnson, M., & Meder, M. E. (2024). Twenty-three years of teaching economics with technology. International Review of Economics Education, 45, 100279. https://doi.org/10.1016/j.iree.2023.100279
[12] Lee, B. W., Lee, M. K., & Fredendall, L. (2022). Response to relative performance feedback in simulation games. The International Journal of Management Education, 20(3), 100698. https://doi.org/10.1016/j.ijme.2022.100698
[13] Li, Z., & Jessica, S. (2024). eKinomy: Designing a Serious Game to Promote Economic Decision-Making Skills from Elementary Level. В P. Dondio, M. Rocha, A. Brennan, A. Schönbohm, F. de Rosa, A. Koskinen, & F. Bellotti (Ed.), Games and Learning Alliance, 86–96. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-49065-1_9
[14] Liu, Y., Su, Y., & Fu, H. (2024). Innovative Platform for the Comprehensive Quality Evaluation of Postgraduate Students Based on Redactable Blockchain. Journal of Circuits, Systems and Computers, 33(01), 2450012. https://doi.org/10.1142/S0218126624500129
[15] Mehra, P. (2023). Feature on Teaching and Technology: Teaching MBA Students Business Report Writing Using Social Media Technologies. Business and Professional Communication Quarterly, 86(2), 207–230. https://doi.org/10.1177/23294906231165569
[16] Meiwen, S., Ming, J., & Mengyu, L. (2025). Education, technology and high-quality economic development. International Review of Financial Analysis, 102, 104143. https://doi.org/10.1016/j.irfa.2025.104143
[17] Nataraja, S., Rasheed, M., Al-Aameri, A., & Paracha, Z. (2011). Core Competencies for Business Graduates Embark on the Economic Clusters of Saudi Arabia. In C. Despres (Ed.), Proceedings of the 7th European conference on management leadership and governance, 306–312. At: SKEMA Business School Sophia-Antipolis, France.
[18] Palma Cardoso, E., Milena Reyes García, D., Díaz Pava, M. F., & Díaz Góngora, D. L. (2022). Diseño de estrategias para promover la digitalización contable en las microempresas de la zona centro de El Espinal–Tolima. Revista Científica Hermes, (31), 76-91. https://www.redalyc.org/journal/4776/477671228005/
[19] Pilege, E., Plota, S., Pilegis, G., & Zivitere, M. (2021). ACT Digital: The Strategic Role of Analytics, Creativity and Technologies for Cultural and Creative Sector and Education. Digital Presentation and Preservation of Cultural and Scientific Heritage, 11, 135–150. https://doi.org/10.55630/dipp.2021.11.12
[20] Sánchez, A. E. R., Cantillo, I. A. P., & Ramírez -Tarazona, V. (2023). Aporte pedagógico del Aprendizaje Basado en Desafíos a la formación de los administradores de empresas: Una revisión sistemática de la literatura (2019-2023). Sophia, 19(2). https://doi.org/10.18634/sophiaj.19v.2i.1307
[21] Sánchez, A. M. (2023). Using digital educational escape rooms as a motivational review tool for Economics. The International Journal of Management Education, 21(3), 100852. https://doi.org/10.1016/j.ijme.2023.100852
[22] Sierra, J., & Suárez-Collado, Á. (2022). Wealth and power: Simulating global economic interactions in an online environment. The International Journal of Management Education, 20(2), 100629. https://doi.org/10.1016/j.ijme.2022.100629
[23] Vesić, D., Laković, D., & Vesić, S. L. (2023). Use of Information Technologies in Higher Education From The Aspect of Management. International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE), 11(1), 143–151. https://doi.org/10.23947/2334-8496-2023-11-1-143-151
[24] Yang, L., & Hong, Y. (2023). Education Informationization and Education Power: The Influence of Fintech on Educational Equity. ECNU Review of Education, 20965311231210312. https://doi.org/10.1177/20965311231210312
[25] Yang, L., Chen, Z., Liu, T., Gong, Z., Yu, Y., & Wang, J. (2013). Global trends of solid waste research from 1997 to 2011 by using bibliometric analysis. Scientometrics, 96(1), 133–146. https://doi.org/10.1007/s11192-012-0911-6
[26] Yurchenko, A., Rozumenko, A., Rozumenko, A., Momot, R., & Semenikhina, O. (2023). Cloud technologies in education: the bibliographic review. Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 13(4), 79–84. https://doi.org/10.35784/iapgos.4421
[27] Yurchenko, A., Shamonia, V., Burtovy, R., Bohoslavskyi, S., & Semenikhina, O. (2024). Detection of Existing Practices and Forecasting of Future Research in the Field of Cloud Technologies in Education. 2024 47th MIPRO ICT and Electronics Convention (MIPRO), 369–374. https://doi.org/10.1109/MIPRO60963.2024.10569612
Article Details
Abstract views: 42

