ECONOMIC EDUCATION UNDER THE INFLUENCE OF INFORMATION TECHNOLOGY: ANALYSIS OF THE BIBLIOGRAPHIC LANDSCAPE

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Published: Jun 10, 2024

  Olga Kudrina

  Viacheslav Riznyk

  Yuliia Ivchenko

Abstract

The aim of the article is to carry out a bibliographic analysis of articles related to the use of IT in economic education, in order to characterise the future landscape of scientific and pedagogical research. The material for the analysis were publications from the scientometric database Web of Science from 2020 to 26 March 2024. Only open access publications were taken into account. The VOSviewer application was used to qualitatively characterise the publication's landscape using keyword sets. The search was conducted among publications from 2020 using the words "information technology" and "economic education" in the "Keywords" and "Abstract" fields according to the search formula "information technology AND economic education". In terms of quantitative indicators, there is reason to believe that with the development of the IT industry and, importantly, with the emergence of artificial intelligence and the development of machine learning, the number of qualitative studies in economic education is growing. The subject of such research is the modernisation of economic disciplines, the introduction of active learning methods, and the spread of digital platforms that improve the training of economists. A qualitative analysis of the keywords that form the three main clusters of research reveals three trends: (1) the trend of integrative influence of IT development on the development of educational institutions, introduction of innovative models in economic education and its management; (2) the trend of development of personal qualities under the influence of economic education with the use of information technologies; (3) the trend of integration of economic education into socio-economic processes and its impact on human resources and their development. These areas are interconnected and therefore considered promising for the future: research related to the various impacts of the digital economy on the development of universities and their digital administration (digital university, provision of educational services anywhere in the world; development of digital learning environments and pedagogical design, and so forth); research related to the development of learning technologies under the influence of Internet technologies (immersive, gaming technologies, simulations, use of virtual and augmented reality), development of individual qualities of specialists in the field of economics (development of relevant skills – critical and creative thinking, digital communication skills, lifelong learning); research that reveals the peculiarities of organising education in the face of constraints and characterises the causes of digital divide; study of economic processes that determine the links between economic growth, economic education, the introduction of Industry 4.0 and the spread of artificial intelligence in all areas of the national economy.

How to Cite

Kudrina, O., Riznyk, V., & Ivchenko, Y. (2024). ECONOMIC EDUCATION UNDER THE INFLUENCE OF INFORMATION TECHNOLOGY: ANALYSIS OF THE BIBLIOGRAPHIC LANDSCAPE. Baltic Journal of Economic Studies, 10(2), 140-145. https://doi.org/10.30525/2256-0742/2024-10-2-140-145
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Keywords

economic education, information technology, influential IT, digital economy, economic training, bibliographic landscape

References

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, Vol. 94(2), p. 72–86. DOI: https://doi.org/10.33407/itlt.v94i2.5172

Aoujil, Z., Hanine, M., Flores, E.S., Samad, M.A., Ashraf, I. (2023). Artificial Intelligence and Behavioral Economics: A Bibliographic Analysis of Research Field. IEEE Access, Vol. 11, 139367–139394. DOI: https://doi.org/10.1109/ACCESS.2023.3339778

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: 6th International Conference On Education And New Learning Technologies, 3766–3773.

Chen, C., Zhang, L., Li, YH., Liao, TC., Zhao, SR., Zheng, ZB., Huang, HW., Wu, JJ. (2022). When Digital Economy Meets Web3.0: Applications and Challenges. IEEE Open Journal of the Computer Society, Vol. 3, p. 233–245. DOI: https://doi.org/10.1109/OJCS.2022.3217565

Danish, Khan, S., & Haneklaus, N. (2023). Sustainable economic development across globe: The dynamics between technology, digital trade and economic performance. Technology in Society, Vol. 72, 102207. DOI: https://doi.org/10.1016/j.techsoc.2023.102207

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, Vol. 13(4), p. 120–130. DOI: https://doi.org/10.47750/jett.2022.13.04.018

Johnson, M., & Meder, M. (2023). Twenty-Three Years of Teaching Economics with Technology. International Review of Economics Education, Vol. 45, 100279. DOI: https://doi.org/10.1016/j.iree.2023.100279

Liu, YQ., Su, YL., Fu, HJ. (2024). Innovative Platform for the Comprehensive Quality Evaluation of Postgraduate Students Based on Redactable Blockchain. Journal of circuits systems and computers, Vol. 33(1), 2450012. DOI: https://doi.org/10.1142/S0218126624500129

Medvedeva, Y. M., Abdulov, R. E., Dzhabborov, D. B., & Komolov, O. O. (2022). Digitalization of the Economy and Advanced Planning Technologies as a Way to Overcome the Economic Recession. Biologically inspired cognitive architectures 2021, 1032, 275–280. DOI: https://doi.org/10.1007/978-3-030-96993-6_29

Nataraja, S., Rasheed, M., Al-Aameri, A., & Paracha, ZU. (2011). Core Competencies for Business Graduates Embark on the Economic Clusters of Saudi Arabia. Proceedings of the 7th european conference on management leadership and governance, p. 306–312.

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, Vol. 11, p. 135–150. DOI: https://doi.org/10.55630/dipp.2021.11.12

Pivneva, S., Chernova, O., Abalyan, Z., Shangaraeva, L., Rubannikova, I., & Litvinov, A. (2023). Raising the level of motivation of economics students for studying english using the Myenglishlab Blended Learning Platform. Revista Conrado, Vol. 19(90), p. 270–276.

Rudenko, Y., Naboka, O., Petrenko, S., Ostroha, M., Pronikova, M., & Semenikhina, O. (2022). Using Web Quests in Professional Training Student-Managers. 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO), Opatija, Croatia, p. 706–710. DOI: https://doi.org/10.23919/MIPRO55190.2022.9803400

Sánchez, A. M. (2023). Using digital educational escape rooms as a motivational review tool for Economics. International Journal of Management Education, Vol. 21(3), 100852. DOI: https://doi.org/10.1016/j.ijme.2023.100852

Semenikhina, O., Drushlyak, M., Bondarenko, Yu., Kondratiuk, S., & Ionova, I. (2019). Open Educational Resources as a Trend of Modern Education. 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, Croatia, p. 779–782. DOI: https://doi.org/10.23919/MIPRO.2019.8756837

Semenikhina, O., Kudrina, O., Koriakin, O., Ponomarenko, L., Korinna, H., & Krasilov, A. (2020). The Formation of Skills to Visualize by the Tools of Computer Visualization. TEM Journal, Vol. 9(4), p. 1704–1710. DOI: https://doi.org/10.18421/TEM94-51

Valadao, M.A.C., Santiago, D.F.G., & Lima, T.P. (2023). Flipped Classroom and Linear Algebra: a Suggestion of Activities Involving Octave and Markov Chains. ABAKOS, Vol. 11(2), p. 91–113.

Xu, CY., Song, C. (2022). Optimization of Innovation and Entrepreneurship Education and Training System in Colleges and Universities Based on OpenStack Cloud Computing. Scientific programming, 2868499. DOI: https://doi.org/10.1155/2022/2868499

Yang, L., & Hong, Y. (2023). Education Informationization and Education Power: The Influence of Fintech on Educational Equity. ECNU Review of Education. DOI: https://doi.org/10.1177/20965311231210312

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, Vol. 13(4), p. 79–84. DOI: https://doi.org/10.35784/iapgos.4421