This article examines the theoretical and practical aspects of individualizing the learning process through artificial intelligence–based digital platforms. The relevance of the study is determined by the need to organize effective learning in a modern digital educational environment while considering students’ individual needs, abilities, and learning pace. The aim of the research is to identify the mechanisms of personalized instruction through AI-driven adaptive platforms and to evaluate their pedagogical effectiveness experimentally. The study employed a quasi-experimental design and utilized pedagogical observation, diagnostic testing, questionnaires, learning analytics data analysis, and statistical methods, including the Student’s t-test and Cohen’s d [2]. The results demonstrate that AI-based platforms significantly enhance the formation of individual learning trajectories, real-time monitoring of academic progress, and immediate feedback. Students in the experimental group showed significantly higher academic performance than those in the control group (t = 2.31, p < 0.05; Cohen’s d = 0.74). The study also proposes an integrative pedagogical model for AI-supported learning individualization.

Artificial Intelligence in Education (AIED), Personalized Learning, Adaptive Learning Systems

Baker, R. S., & Siemens, G. (2014). Educational data mining and learning analytics. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (2nd ed., pp. 253–272). Cambridge University Press.

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510

D’Mello, S., & Graesser, A. (2013). AutoTutor and affective AutoTutor: Learning by talking with cognitively and emotionally intelligent computers that talk back. ACM Transactions on Interactive Intelligent Systems, 2(4), 1–39.

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.

Ifenthaler, D., & Yau, J. Y. K. (2020). Utilising learning analytics for study success: Reflections on current empirical findings. Educational Technology Research and Development, 68(3), 1417–1430.

Luckin, R. (2018). Machine learning and human intelligence: The future of education for the 21st century. UCL Institute of Education Press.

McCarthy, J., Minsky, M., Rochester, N., & Shannon, C. (2006). A proposal for the Dartmouth summer research project on artificial intelligence (1955). AI Magazine, 27(4), 12–14.

Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO.

Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26(2), 582–599.

Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.

Siemens, G. (2013). Learning analytics: The emergence of a discipline. American Behavioral Scientist, 57(10), 1380–1400.

Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223–235.

Woolf, B. P. (2010). Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning. Morgan Kaufmann.

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(39). https://doi.org/10.1186/s41239-019-0171-0

Saidakhmedov, N. S. (2016). Pedagogical technologies and their application in education. Tashkent: Fan Publishing.

Nishonova, Z. T. (2018). Psychological factors of personality-oriented education. Pedagogical Sciences Journal, 2(3), 45–52.

Hoshimov, O‘. H. (2017). Modern approaches to improving the educational process. Pedagogical Research Journal, 1(2), 12–18.

Yoqubov, I. Y. (2019). Individualization of learning in modern educational environments. Education and Innovation, 4(1), 67–72.