The use of artificial intelligence in the individualization of student learning in higher technical educational institutions
DOI:
https://doi.org/10.34142/2709-7986.2025.30.2.09Keywords:
individualization of learning, artificial intelligence, adaptive learning, personalization of education, benefits of AI, risks of AI, digitalization of educationAbstract
The purpose of this article is to analyze the educational potential of artificial intelligence (AI) in the context of personalized learning, identify the opportunities and advantages of using AI tools for effective integration into the structure of higher technical education, and identify possible limitations and risks associated with this process.
The methodological basis of the research is interdisciplinary approaches that include methods of theoretical analysis of scientific sources, digital trends, comparative analysis of adaptive educational platforms (Knewton, Smart Sparrow, ALEKS), as well as empirical analysis and generalization of the experience of implementing AI tools at the National Technical University "Kharkiv Polytechnic Institute".
As part of our research, the following results were achieved: the advantages of AI in individualizing higher education were identified, including adaptive platforms, virtual tutors, chatbots, and generative models that support personalized learning, reflection, metacognition, soft skills, and engagement. Risks were also noted: ethical issues, reduced live interaction, teachers’ low digital readiness, digital inequality, reliance on private companies, technical barriers, and insufficient regulation. Practical applications include shaping individual learning trajectories, monitoring progress, supporting microlearning, solving applied tasks with AI assistants, and adapting materials to learners’ needs. Recommendations for phased AI integration involve institutional strategies, infrastructure audits, teacher training, regulatory updates, ethical codes, and interdisciplinary collaboration.
The conclusions emphasize that the effective implementation of artificial intelligence in individualized learning in higher technical education is possible only if technological solutions are combined with a humanistic approach, digital culture is developed in the academic environment, and technical, pedagogical, and ethical readiness of participants in the educational process is ensured. In the context of individualized learning, AI may not replace, but rather strengthen, pedagogy, provided that it is humanistically oriented.
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Hurevych, R., Konoshevskyi, L., Konoshevskyi, O., & Voievoda, A. (2024). Intehratsiia shtuchnoho intelektu v sferu osvity: problemy, vyklyky, zahrozy, perspektyvy [Integration of Artificial Intelligence in the Field of Education: Problems, Challenges, Threats, Prospects]. Modern Information Technologies and Innovation Methodologies of Education in Professional Training Methodology Theory Experience Problems, 72, 170–186. https://doi.org/10.31652/2412-1142-2024-72-170-186 [in Ukrainian].
Chetveryk, V. K. (2025). AI-powered chatbots for personalized foreign language education. In Synerhiia osvity, nauky ta biznesu v epokhu hlobalnykh transformatsii – Synergy of Education, Science, and Business in the Era of Global Transformations (pp. 317–319). HO «Naukovo-osvitnii innovatsiinyi tsentr suspilnykh transformatsii». https://dspace.hnpu.edu.ua/handle/123456789/18476
Kabatska, O., Shamshyk, O., & Podkoviroff, N. (2023). Vykorystannia tekhnolohii shtuchnoho intelektu v protsesi navchannia i vykladannia u vyshchii osviti [The use of artificial intelligence technologies in the process of learning and teaching in higher education]. Visnyk nauky ta osvity – Bulletin of Science and Education, 11(17), 719–735. https://doi.org/10.52058/2786-6165-2023-11(17)-719-735 [in Ukrainian].
Kaminskyi, V. V., Miziuk, V. A., & Turchaninov, R. D. (2024). (2024). Analiz efektyvnosti shtuchnoho intelektu v adaptyvnykh navchalnykh platformakh dlia indyvidualizatsii osvitnoho protsesu [Analysis of the effectiveness of artificial intelligence in adaptive learning platforms for individualization of the educational process]. Pedahohichna akademiia: naukovi zapysky – Pedagogical Academy: Scientific Notes, 13, 1–19. https://doi.org/10.5281/zenodo.14562152 [in Ukrainian].
Kolomiets, A., & Kushnir, O. (2023). Vykorystannia shtuchnoho intelektu v osvitnii ta naukovii diialnosti: mozhlyvosti ta vyklyky [Use of artificial intelligence in educational and scientific activities: opportunities and challenges]. Modern information technologies and innovative teaching methods in the training of specialists: methodology, theory, experience, problems, 70, 45–57. https://doi.org/10.31652/2412-1142-2023-70-45-57 [in Ukrainian].
Kostikova, I., & Viediernikova, T. (2023). Online Teaching and Learning, Extracurricular Activities at the University in Wartime in Ukraine. Tréma [En ligne], 60. https://doi.org/10.4000/trema.8525
Kukharenko, V. M., Syrotenko, N. H., & Molodykh, H. S., Tverdokhliebova, N. Y. (2005). Dystantsiinyi navchalnyi protses. Milenium.
Nosenko, Y. (2020). Analitychnyi ohliad knewton yak platformy dlia personalizatsii osvitnoho kontentu [Knewton Analytical Review as a Platform for Personalization of Learning Content]. Journal of Information Technologies in Education (ITE), 44, 65–76. https://doi.org/10.14308/ite000727 [in Ukrainian].
Nychkalo, N., Lazarenko, N., & Hurevych, R. (2021). Informatyzatsiia ta tsyfrovizatsiia suspilstva v XXI stolitti: novi vyklyky dlia zakladiv vyshchoi osvity [Informatization and digitalization of society in the XXI century: new challenges for higher education institutions]. Modern information technologies and innovative teaching methods in the training of specialists: methodology, theory, experience, and problems, 60, 17–29. https://doi.org/10.31652/2412-1142-2021-60-17-29 [in Ukrainian].
Rostoka, M., & Kravchenko, Y. (2024). Fenomen shtuchnoho intelektu v systemi informatsiino analitychnoho suprovodu tsyfrovoi transformatsii osvity i pedahohiky [Phenomenon of artificial intelligence in the system of information and analytical support of digital transformation of education and pedagogy]. Research and Educational Studies – Scientific and Pedagogical Studies, 8, 283–300. https://doi.org/10.32405/2663-5739-2028-8-283-300 [in Ukrainian].
Serhienko, V. P., & Franchuk, N. P. (Eds.). (2024). Tsyfrova transformatsiia osvity: teoretyko-metodychni zasady [Digital Transformation of Education: Theoretical and Methodological Foundations]. Drahomanov Ukrainian State University [in Ukrainian].
Sikora, Y., Marchuk, N., Nesterov, V. (2024). Tekhnolohii maibutnoho: rol shtuchnoho intelektu u personalizovanomu navchanni [Technologies of the future: the role of artificial intelligence in personalized learning]. Nauka i tekhnika sohodni – Science and technology today: series: law, economics, pedagogy, technology, and physical and mathematical sciences, 1(29), 526–537. https://doi.org/10.52058/2786-6025-2024-1(29)-526-537 [in Ukrainian].
Tverdokhliebova, N. (2025). Personal transformations in the process of professional self-realization. Pravo i bezpeka – Law and Safety, 1 (96), 21–28. https://doi.org/10.32631/pb.2025.1.02
Tverdokhliebova, N., & Semenov, Ye. (2024). Novyi zmist navchannia maibutnikh fakhivtsiv z okhorony pratsi v suchasnykh umovakh [New content of training future specialists in labor protection in modern conditions]. Naukovyi visnyk DonNTU – Scientific Bulletin of Donetsk National Technical University, 1(12), 139–147. https://doi.org/10.31474/2415-7902-2024-1-12-139-148
Veretiuk, T., & Chetveryk, V. (2025). Digital Literacy of Language and Literature Educators: The Ukrainian Context. In Research in Science, Technology and Economics: Collection of Scientific Papers with Proceedings of the 3rd International Scientific and Practical Conference, Luxembourg, Luxembourg (pp. 453–456). Luxembourg. https://dspace.hnpu.edu.ua/handle/123456789/18835
Yevtushenko, N., Tverdokhliebova, N., & Ponomarenko, O. (2023). Using artificial intelligence technologies to predict and identify the educational process. In D. Schicchi, D. Taibi, & M. Temperini (Eds.), AlxEDU: 1st International Workshop on High-performance Artificial Intelligence Systems in Education (Vol. 3605). CEUR Workshop Proceedings. https://ceur-ws.org/Vol-3605/3.pdf
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