Exploring Futuristic Scenarios for the Development of Artificial Intelligence in Education
DOI:
https://doi.org/10.5281/zenodo.16869358Keywords:
personalized learning, educational equity, AI ethics, digital pedagogy, future of teaching, policy innovation, computer-integrated technologies.Abstract
The study aimed to explore and analyze futuristic scenarios concerning the integration of artificial intelligence into education as part of the broader development and application of computer-integrated technologies. A comparative analytical method was employed to examine current academic discourse, expert forecasts, and trend-based models. The research applied methods of analysis, comparison, generalization, and synthesis. The results demonstrate that futuristic scenarios for educational development under the influence of artificial intelligence, within the framework of computer-integrated technologies, involve radical transformations of traditional approaches to learning, teaching, assessment, and the organization of the educational environment. The findings suggest that AI, as a core element of computer-integrated technologies, is reshaping not only the tools of learning but also the underlying logic of education.
References
Ahmad, T. (2020). Scenario based approach to re-imagining future of higher education which prepares students for the future of work. Higher Education, Skills and Work-Based Learning, 10(1), 217–238. https://www.emerald.com/insight/content/doi/10.1108/heswbl-12-2018-0136/full/html
Aithal, P. S., & Aithal, S. (2023). Application of ChatGPT in higher education and research – A futuristic analysis. International Journal of Applied Engineering and Management Letters, 7(3), 168–194. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4674364
Bychuk, L., Karpenko, Q., Sonechko, O., Lazareva, A., & Rizak, G. (2025). The role of higher education in promoting socio-economic mobility: A bibliographic review. Futurity Education, 5(1), 110–130. https://elibrary.kubg.edu.ua/id/eprint/51259/2/O.Bazyl_O.Abilova_O.Karpenko_H.Mierienkov_A._SEI_1_FPSRSO.pdf
Dimitriadou, E., & Lanitis, A. (2023). A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms. Smart Learning Environments, 10(1). https://link.springer.com/article/10.1186/s40561-023-00231-3
Grassini, S. (2023). Shaping the future of education: Exploring the potential and consequences of AI and ChatGPT in educational settings. Education Sciences, 13(7). https://www.mdpi.com/2227-7102/13/7/692
Guan, C., Mou, J., & Jiang, Z. (2020). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. International Journal of Innovation Studies, 4(4), 134–147. https://www.sciencedirect.com/science/article/pii/S2096248720300369
Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S. J., Ogata, H., ... & Tsai, C. C. (2020). Challenges and future directions of big data and artificial intelligence in education. Frontiers in Psychology, 11. https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2020.580820/full
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://link.springer.com/article/10.1007/s00146-020-01033-8
Tabinska, O. (2025). Application of STEM components in educational robotics as a means of early career guidance to technical professions. Pedagogical Academy: Scientific Notes, 19. https://pedagogical-academy.com/index.php/journal/article/view/976
Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223–235. https://www.tandfonline.com/doi/full/10.1080/17439884.2020.1798995
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