PERSPECTIVES OF IMPLEMENTATION OF PERSONALIZED LEARNING USING ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION
PDF (Ukrainian)

Keywords

personalised learning
artificial intelligence
higher education
individualisation of education
digital technologies

How to Cite

[1]
I. Vorotnykova, O. . Dziabenko, and N. . Morze, “PERSPECTIVES OF IMPLEMENTATION OF PERSONALIZED LEARNING USING ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION”, ITLT, vol. 105, no. 1, pp. 144–157, Feb. 2025, doi: 10.33407/itlt.v105i1.5893.

Abstract

Personalised learning using artificial intelligence (AI) determines the creation of a unique learning experience for each student, considering his interests, needs, learning style and level of knowledge. AI allows educational technologies and resources to be flexible and adapted to the needs and requests of teachers and students. The use of AI will effectively introduce innovative technologies into the educational process, to implement personalised learning. The article's content reveals key aspects of the challenges and obstacles to implementing personalised learning using AI, based on a survey of 97 higher education teachers of various specialities. The main conclusions relate to the challenges and obstacles and the determination of motivational levers for higher education teachers to implement AI for personalised learning: the lack of educational policies of institutions on the use of AI and their administrative support, the lack of sufficient funding, technological infrastructure, teacher training and their fear of using AI, ethical and legal issues of using AI. Among the areas for implementing personalised learning to use AI, the following were identified: individual curricula, adaptive learning content, personalised feedback, interactive learning using AI, analytics using AI, personalised learning paths to career goals, and analytics based on big data processing. The results of statistical processing revealed that most respondents have significant teaching experience, but the use of AI is not yet very widespread, only 40.2% of teachers gave detailed answers about the use of these technologies in professional activities in various areas of implementing personalised learning. Cluster analysis of respondents' open-ended answers showed that teachers of higher education institutions have different levels of readiness to use AI, which largely depends on their experience, motivation, and training, but are ready to improve their skills on this issue.

PDF (Ukrainian)

References

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REFERENCES (TRANSLATED AND TRANSLITERATED)

D. Aggarwal, ‘Exploring the Scope of Artificial Intelligence (AI) for Lifelong Education through Personalised & Adaptive Learning’, Journal of Artificial Intelligence, Machine Learning and Neural Network, vol. 4, no. 01, pp. 21–26, 2024, doi: 10.55529/jaimlnn.41.21.26. (in English)

K. Bayly-Castaneda, M.-S. Ramirez-Montoya, and A. Morita-Alexander, ‘Crafting personalized learning paths with AI for lifelong learning: a systematic literature review’, Front. Educ., vol. 9, Aug. 2024, doi: 10.3389/feduc.2024.1424386. (in English)

Z. H. Rakya, ‘Exploring the Impact of Artificial Intelligence (AI) on Learner-Instructor Interaction in Online Learning (Literature Review)’, International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence, vol. 2, no. 1, Dec. 2023, doi: 10.54938/ijemdcsai.2023.02.1.236. (in English)

J. T. Nganji and M. Brayshaw, ‘Disability-aware adaptive and personalised learning for students with multiple disabilities’, The International Journal of Information and Learning Technology, vol. 34, no. 4, pp. 307–321, Jan. 2017, doi: 10.1108/IJILT-08-2016-0027. (in English),

M. Möller et al., ‘Revolutionising Distance Learning: A Comparative Study of Learning Progress with AI-Driven Tutoring’, 2024, doi: 10.48550/ARXIV.2403.14642. (in English)

M. Imran, N. Almusharraf, M. S. Abdellatif, and M. Y. Abbasova, ‘Artificial Intelligence in Higher Education: Enhancing Learning Systems and Transforming Educational Paradigms’, International Journal of Interactive Mobile Technologies (iJIM), vol. 18, no. 18, pp. 34–48, Sep. 2024, doi: 10.3991/ijim.v18i18.49143. (in English)

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X. Wang, S. Wrede, L. van Rijn, and J. Wöhrle, ‘AI-BASED QUIZ SYSTEM FOR PERSONALISED LEARNING’, ICERI2023 Proceedings, pp. 5025–5034, 2023, doi: 10.21125/iceri.2023.1257. (in English)

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M. Tsidylo and E. S. Chele, ‘Artificial intelligence as a methodological innovation in the training of future designers: midjourney tools’, ITLT, vol. 97, no. 5, pp. 203–214, Oct. 2023, doi: 10.33407/itlt.v97i5.5338. (in English).

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Copyright (c) 2025 Iryna Vorotnykova, Olga Dziabenko, Nataliia Morze

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