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USE OF ARTIFICIAL INTELLIGENCE IN THE EDUCATIONAL ENVIRONMENT: A QUALITATIVE STUDY OF THE TECHNOLOGY’S POTENTIAL
Resumo
Objective: The article analyzes the advantages and disadvantages of using artificial intelligence (AI) in the digital educational environment. The study aims to identify the potential of AI in the educational process, as well as the benefits and risks associated with the application of AI-based technologies in educational environments.
Methods: Qualitative methods were used to collect data, including a review of existing literature on the use of AI in education. The analysis focused on identifying the main areas of AI application and the challenges associated with its use.
Results: The results show that the advantages of using AI include task automation, personalized learning, and student performance forecasting, among others. However, risks such as the imperfection of AI technologies, insufficient methodological support, and concerns about data security were also identified.
Conclusions: The systematic application of AI's advantages can enhance the efficiency of the educational process, especially if psychological and pedagogical factors are considered. However, it is crucial to balance AI use with human intervention to ensure a comfortable and effective educational environment.
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Ahmad, S.F., Alam, M.M., Rahmat, M.K., Mubarik, M.S., & Hyder, S.I. (2022). Academic and administrative role of artificial intelligence in education. Sustainability, 14(3), 1101. http://dx.doi.org/10.3390/su14031101
Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431-440. https://link.springer.com/article/10.1007%2Fs43681-021-00096-7
Akhmetshin, E., Fayzullaev, N., Klochko, E., Shakhov, D., & Lobanova, V. (2024a). Intelligent data analytics using hybrid gradient optimization algorithm with machine learning model for customer churn prediction. Fusion: Practice and Applications, 14(2), 159-171. https://doi.org/10.54216/FPA.140213
Akhmetshin, E., Nemtsev, A., Shichiyakh, R., Shakhov, D., & Dedkova, I. (2024b). Evolutionary algorithm with deep learning based fall detection on Internet of things environment. Fusion: Practice and Applications, 14(2), 132-145. https://doi.org/10.54216/FPA.140211
Al Braiki, B., Harous, S., Zaki, N., & Alnajjar, F. (2020). Artificial intelligence in education and assessment methods. Bulletin of Electrical Engineering and Informatics, 9(5), 1998-2007. http://dx.doi.org/10.11591/eei.v9i5.1984
Alam, A. (2021). Possibilities and apprehensions in the landscape of artificial intelligence in education. In 2021 International conference on computational intelligence and computing applications (ICCICA) (pp. 1-8). IEEE. http://dx.doi.org/10.1109/ICCICA52458.2021.9697272
Avdeev, V., Rozenko, S., Bulygin, A., Aksenov, A., & Kalabuzarov, T. (2023). Information space and society: Exploring negative trends, ideological influence, and strategies for sustainable development. Revista Relações Internacionais do Mundo Atual, 2(40), e-6379.
Baker, R.S. (2021). Artificial intelligence in education: Bringing it all together. In OECD Digital education outlook: Pushing the frontiers with AI, blockchain, and robots (pp. 43-54). Paris: OECD Publishing.
Bates, T., Cobo, C., Mariño, O., & Wheeler, S. (2020). Can artificial intelligence transform higher education? International Journal of Educational Technology in Higher Education, 17, 42. http://dx.doi.org/10.1186/s41239-020-00218-x
Borodina, M., Golubeva, T.I., Korotaeva, I.E., Shumakova, S.Yu., Bessonova, T.V., & Zharov, A.N. (2021). Impact of the Google translate machine translation system on the quality of training student translators. Webology, 18(Special Issue), 68-78. https://doi.org/10.14704/web/v18si05/web18214
Borodina, M., Idrisov, H., Kapustina, D., Zhildikbayeva, A., Fedorov, A., Denisova, D., Gerasimova, E., & Solovyanenko, N. (2023). State regulation of digital technologies for sustainable development and territorial planning. International Journal of Sustainable Development and Planning, 18(5), 1615-1624. https://doi.org/10.18280/ijsdp.180533
Borodkin, L. (2023). Transformation of university history education against the backdrop of the digital era: Academic and methodological seminar at Moscow State University. Historical Informatics, 1, 1-10. https://doi.org/10.7256/2585-7797.2024.1.70393.
Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial Intelligence trends in education: A narrative overview. Procedia Computer Science, 136, 16-24. http://dx.doi.org/10.1016/j.procs.2018.08.233
Chen, X., Xie, H., Zou, D., & Hwang, G.J. (2020). Application and theory gaps during the rise of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100002. http://dx.doi.org/10.1016/j.caeai.2020.100002
Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two decades of artificial intelligence in education. Educational Technology & Society, 25(1), 28-47.
Chumakova, E.V., Korneev, D.G., Chernova, T.A., Gasparian, M.S., & Ponomarev, A.A. (2023). Comparison of the application of FNN and LSTM based on the use of modules of artificial neural networks in generating an individual knowledge testing trajectory. Journal Européen des Systèmes Automatisés, 56(2), 213-220. https://doi.org/10.18280/jesa.560205.
Diuldin, E., Makanov, A., Shifman, B., Bobrova, E., Osnovin, S., Zaytsev, K., Garmash, A., & Abdulkhabirova, F. (2024). Using deep learning to generate and classify thyroid cytopathology reports according to the Bethesda system. Revue d'Intelligence Artificielle, 38(2), 729-737. https://doi.org/10.18280/ria.380237
Eskerkhanova, L.T., Beloglazova, L.B., Masyutina, N.M., Romanishina, T.S., & Turishcheva, T.B. (2023). Increasing the competitiveness of future economists for work in industry 4.0. Perspektivy nauki i obrazovania – Perspectives of Science and Education, 62(2), 158-173. http://dx.doi.org/10.32744/pse.2023.2.9
Fiok, K., Farahani, F.V., Karwowski, W., & Ahram, T. (2022). Explainable artificial intelligence for education and training. The Journal of Defense Modeling and Simulation, 19(2), 133-144. https://doi.org/10.1177/15485129211028651
Flogie, A., & Aberšek, B. (2022). Artificial intelligence in education. In O. Lutsenko, & G. Lutsenko (Eds.), Active learning-theory and practice. IntechOpen. https://doi.org/10.5772/INTECHOPEN.96498
Gabidullina, F., Nikiforova, N., Afanasyeva, I., & Zharov, A. (2023). Improvement of the learning process: The experience of introducing a cumulative system in assessing student learning success in distance learning. European Journal of Contemporary Education, 12(4), 1223-1230. http://dx.doi.org/10.13187/ejced.2023.4.1223
Galizina, E.G., Feoktistova, A.B., Makushkin, S.A., Korotaeva, I.E., Kartseva, E.Y., & Udaltsova, N. (2021). Customer-oriented aggregators of massive open online courses: Opportunities and prospects. Webology, 18(SI05), 420-435. https://doi.org/10.14704/web/v18si05/web18238
Gocen, A., & Aydemir, F. (2020). Artificial intelligence in education and schools. Research on Education and Media, 12(1), 13-21. http://dx.doi.org/10.2478/rem-2020-0003
Goksel, N., & Bozkurt, A. (2019). Artificial intelligence in education: Current insights and future perspectives. In Handbook of research on learning in the age of transhumanism (pp. 224-236). IGI Global.
Golubeva, T., Korotaeva, I., Rabadanova, R., & Kovaleva, O. (2023). Implementing the right to receive education in the context of distance learning technologies. Revista Relações Internacionais do Mundo Atual, 1(39), 1-13.
Gribkova, O.V. (2022). Formation of a modern teacher for innovative activity in the musical and educational space. Pedagogical Scientific Journal, 4, 61-68.
Gurinovich, A., Lapina, M., Kazantsev, D., & Lapin, A. (2023). Problems of legal regulation of the risks of using robotic and infocommunication technologies from the point of view of information security. Revista Jurídica, 1(73), 805-830.
Holmes, W., & Porayska-Pomsta, K. (Eds.). (2022). The ethics of artificial intelligence in education: Practices, challenges, and debates. New York: Routledge. http://dx.doi.org/10.4324/9780429329067
Holmes, W., Bialik, M., & Fadel, C. (2023). Artificial intelligence in education. In Data ethics: Building trust: How digital technologies can serve humanity (pp. 621-653). Globethics Publications. http://dx.doi.org/10.58863/20.500.12424/4276068
Huang, J., Saleh, S., & Liu, Y. (2021). A review on artificial intelligence in education. Academic Journal of Interdisciplinary Studies, 10(3), 206-217. http://dx.doi.org/10.36941/ajis-2021-0077
Hwang, G.J., Xie, H., Wah, B.W., & Gašević, D. (2020). Vision, challenges, roles and research issues of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100001. http://dx.doi.org/10.1016/j.caeai.2020.100001
Joshi, S., Rambola, R.K., & Churi, P. (2021). Evaluating artificial intelligence in education for next generation. Journal of Physics: Conference Series, 1714(1), 012039. http://dx.doi.org/10.1088/1742-6596/1714/1/012039
Kabzhanova, G., Aubakirova, R., Belenko, O., & Tursungozhinova, G. (2024). Designing effective pedagogical strategies for fostering meta-competence using smart resources in language training. European Journal of Contemporary Education, 13(1), 54-66. http://dx.doi.org/10.13187/ejced.2024.1.54
Karpova, S.I., Chirich, I.V., Avtsinova, G.I., Ukhina, T.V., & Gordeeva, T.A. (2021). Information and communication technologies in education: Video games as an effective environment for the development of self-directed learning of students. Webology, 18(Special Issue), 116-128. https://doi.org/10.14704/WEB/V18SI05/WEB18218
Khosravi, H., Shum, S.B., Chen, G., Conati, C., Tsai, Y.S., Kay, J., Knight, S., Martinez-Maldonado, R., Sadiq, S., & Gašević, D. (2022). Explainable artificial intelligence in education. Computers and Education: Artificial Intelligence, 3, 100074. http://dx.doi.org/10.1016/j.caeai.2022.100074
Knox, J. (2020). Artificial intelligence and education in China. Learning, Media and Technology, 45(3), 298-311. https://doi.org/10.1080/17439884.2020.1754236
Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S.J., Ogata, H., Batles, J., Guerra, R., Li, P., & Tsai, C.C. (2020). Challenges and future directions of big data and artificial intelligence in education. Frontiers in Psychology, 11, 580820. https://doi.org/10.3389/fpsyg.2020.580820
Malika, B., Ybyraimzhanov, K., Gaukhar, S., Nurdaulet, S., & Ainur, A. (2022). The effect of information technologies on the development of moral values of future teachers based on innovations in education. World Journal on Educational Technology: Current Issues, 14(1), 164-174. http://dx.doi.org/10.18844/wjet.v14i1.6713
Mirzagitova, A., Kirillova, E., Artemova, E., Aleshkov, A., Fedorov, A., & Panova, N. (2023). Forming a system of sustainable development indicators to improve the efficiency of legal regulation of environmental protection. Revista Relações Internacionais do Mundo Atual, 4(42), 749-764.
Nagao, K. (2019). Artificial intelligence in education. In Artificial intelligence accelerates human learning: Discussion data analytics (pp. 1-17). Singapore: Springer.
Nguyen, A., Ngo, H.N., Hong, Y., Dang, B., & Nguyen, B.P.T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 4221-4241. http://dx.doi.org/10.1007/s10639-022-11316-w
Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020. https://doi.org/10.1016/j.caeai.2021.100020
Owoc, M.L., Sawicka, A., & Weichbroth, P. (2019). Artificial intelligence technologies in education: Benefits, challenges and strategies of implementation. In IFIP International workshop on artificial intelligence for knowledge management (pp. 37-58). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-85001-2_4
Panigrahi, C.M.A. (2020). Use of artificial intelligence in education. Management Accountant, 55, 64-67.
Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. Paris: United Nations Educational, Scientific and Cultural Organization.
Pham, S.T., & Sampson, P.M. (2022). The development of artificial intelligence in education: A review in context. Journal of Computer Assisted Learning, 38(5), 1408-1421. http://dx.doi.org/10.1111/jcal.12687
Rakhimgalieva, P., Serikbayeva, N., Seiitkazy, P., Kaishatayeva, A., & Suleimenova, Z. (2021). Adaptation of students to professional activity through innovative technologies. World Journal on Educational Technology: Current Issues, 13(4), 1102-1123. http://dx.doi.org/10.18844/wjet.v13i4.6312
Revyakina, E., Cherckesova, L., Safaryan, O., & Lyashenko, N. (2024). Improving performance, cryptographic strength of the post-quantum algorithm ntruencrypt and its resistance to chosen-ciphertext attacks. Journal of Theoretical and Applied Information Technology, 102(1), 186-194.
Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26, 582-599. https://doi.org/10.1007/s40593-016-0110-3
Schiff, D. (2021). Out of the laboratory and into the classroom: The future of artificial intelligence in education. AI & society, 36(1), 331-348. https://doi.org/10.1007/s00146-020-01033-8
Sekeroglu, B., Dimililer, K., & Tuncal, K. (2019). Artificial intelligence in education: Application in student performance evaluation. Dilemas Contemporáneos: Educación, Política y Valores, 7(1), 1-21.
Sinitsyna, I., Rebro, O., Vukovich, G., Manchenko, E., Rets, N., & Chuksina, O. (2023). Transformation of higher education: Search for optimal regulatory mechanisms to achieve sustainable social development. Revista Relações Internacionais do Mundo Atual, 2(40), e-6525.
Stepanova, D., Vasyukov, V., Kirillova, E., Hakimov, N., & Adygezalova, G. (2023). Features of legal regulation of the use of smart contracts: Classification and main characteristics. Revista Jurídica, 4(76), 162-180.
Sultonova, L., Vasyukov, V., & Kirillova, E. (2023). Concepts of legal personality of artificial intelligence. Lex Humana, 15(3), 283-295.
Tsilenko, L., Znamenskaya, O., Vasyukov, V., Grunina, Yu., & Yanovskaya, G. (2023). Digital transformation of higher education: Key directions, objectives, tools, and benefits for achieving sustainable development of the state. Revista Jurídica, 4(76), 582-594.
Wang, B., Liu, H., An, P., Li, Q., Li, K., Chen, L., Zhang, Q., Zhang, J., Zhang, X., & Gu, S. (2018). Artificial intelligence and education. In D. Jin (Ed.), Reconstructing our orders (pp. 129-161). Singapore: Springer. https://doi.org/10.1007/978-981-13-2209-9_5
Yaroshenko, O.M., Lutsenko, О.Yе., Melnychuk, N.O., Zhygalkin, I.P., & Demenko, O.Yе. (2023). Payment for non-standard forms of labor and their impact on the economy and social status of employees. Theoretical and Practical Research in Economic Fields, 14(2), 233-245. https://doi.org/10.14505/tpref.v14.2(28).04
Ybyraimzhanov, K., Baimyrzayev, K., Taurbekova, A., Gulden, Y., & Tynyskhanova, A. (2022). Formation of speech activity of primary school students in foreign language teaching through technology integration. World Journal on Educational Technology: Current Issues, 14(2), 507-519. http://dx.doi.org/10.18844/wjet.v14i2.7023
Yufeia, L., Salehb, S., Jiahuic, H., & Syed, S.M. (2020). Review of the application of artificial intelligence in education. Integration, 2(8), 1-15.
DOI: http://dx.doi.org/10.21902/Revrima.v2i44.6982
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