The Role of AI in Shaping Individual Educational Trajectories
DOI:
https://doi.org/10.5281/zenodo.15734471Keywords:
personalized learning, adaptive technologies, student autonomy, educational innovation, digital transformation, learning analyticsAbstract
This study explores the role of Artificial Intelligence (AI) in shaping individualized educational trajectories. The aim was to analyze how AI tools personalize learning experiences and adapt content to students’ needs. A mixed-methods approach was employed, combining surveys and case studies in secondary and higher education institutions. Results show that AI significantly enhances adaptive learning, supports student autonomy, and improves academic engagement. These findings underscore the importance of integrating AI into educational systems to foster more flexible, learner-centered environments.
References
Adeniyi, I. S., Al Hamad, N. M., Adewusi, O. E., Unachukwu, C. C., Osawaru, B., Onyebuchi, C. N., ... & David, I. O. (2024). E-learning platforms in higher education: A comparative review of the USA and Africa. International Journal of Science and Research Archive, 11(1), 1686–1697. https://surl.lu/nlvskv
Alam, A., & Mohanty, A. (2023). Cultural beliefs and equity in educational institutions: exploring the social and philosophical notions of ability groupings in teaching and learning of mathematics. International Journal of Adolescence and Youth, 28(1). https://www.tandfonline.com/doi/abs/10.1080/02673843.2023.2270662
Ayeni, O. O., Al Hamad, N. M., Chisom, O. N., Osawaru, B., & Adewusi, O. E. (2024). AI in education: A review of personalized learning and educational technology. GSC Advanced Research and Reviews, 18(2), 261–271. https://surl.lt/lweshw
Boiko, A. (2024). Interactive extracurricular activities for improving foreign language communicative competence of students of secondary and out-of-school education. Theoretical and Methodological Problems of Child and Youth Education, 28(1), 43–52. https://doi.org/10.32405/2308-3778-2024-28-1-43-52
Castejón, A., Montes, A., & Manzano, M. (2022). Does school shape upper secondary educational transitions. Exploring the relationship between students’ trajectories and educational choices. In Educational Transitions and Social Justice, 85–104. https://bristoluniversitypressdigital.com/abstract/book/9781447363446/ch005.xml
Engels, M. C., Spilt, J., Denies, K., & Verschueren, K. (2021). The role of affective teacher-student relationships in adolescents’ school engagement and achievement trajectories. Learning and instruction, 75. https://www.sciencedirect.com/science/article/pii/S095947522100044X
Gasanova, R. R., Kassymova, G. K., Arpentieva, M. R., Pertiwi, F. D., & Duisenbayeva, S. (2020). Individual educational trajectories in additional education of teachers. Challenges of Science, (3), 59–68. http://kims-imio.kz/wp-content/uploads/2019/04/2020_009..pdf
Ivanchenko, K. (2022). The role of adaptive learning in the training of electronics and automation engineers. Futurity Education, 2(1), 86–105. https://doi.org/10.57125/FFD.2022.25.03.8
Kurasova, N., Stepanova, K., & Rizak, G. (2024). The role of virtual reality in creating individualized educational trajectories for students. In Horizons of Innovation: Conference on Multidisciplinary Trends in Science, 154–159. https://futurity-publishing.com/horizons-of-innovation-conference-on-multidisciplinary-trends-in-science-2024
Vlasova, V. P., Naumenko, T. S., & Rizak, G. V. (2025). On the use of artificial intelligence in teacher training to enhance digital competencies. Academic Visions, (41). https://academy-vision.org/index.php/av/article/view/1737
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Copyright (c) 2025 Olena Popova, Oryngul Abilova, Galyna Boreiko

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