THE IMPACT OF ARTIFICIAL INTELLIGENCE ON EDUCATION: EVOLUTION OR COLLAPSE ?
Keywords:
Artificial intelligence in education, Personalised learning, Cognitive offloading, Intellectual prosthetic, AI pedagogy, Academic integrity, Adaptive learning systems, Digital divide Teacher role transformation, Cognitive load theory.Abstract
This paper examines the dual impact of artificial intelligence on contemporary education systems, investigating whether AI functions as a genuine catalyst for pedagogical development or as a mechanism that leads students toward cognitive passivity and intellectual dependence. According to research, adaptive AI systems are shown to construct personalised learning trajectories for individual students, reduce teachers’ administrative workloads by an average of 40 percent, and raise measurable student engagement by 25 percent. In Uzbekistan specifically, AI-enabled distance learning platforms have increased rural student retention by 28 percent, providing a powerful equity argument for accelerated adoption. At the same time, the data document serious deterioration: independent writing quality has declined by 18 percent among AI-exposed cohorts, plagiarism has surged 62 percent globally and 133 percent at Uzbek urban universities, and unaided recall performance among heavy AI users has dropped 15 percent.
References
1. Abdunabiyeva, M., & Abdulatipov, M. (2025). Artificial intelligence and its roles in education. Luchshiye Intellektualnyye Issledovaniya, 46(5) https://scientific-jl.com/luch/article/view/20140
2. Ashurov, J. Dj. (2021). The role and significance of digital pedagogy in the modern educational environment. https://zienjournals.com/index.php/jpip/article/view/448
3. EdTech Review. (2024). Adaptive learning efficacy study. EdTech Review Press. https://www.researchgate.net/publication/342988837
4. Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence. California Management Review, 61(4), 5–14.
5. Ministry of Education Uzbekistan (MoE). (2025). AI in Central Asian schools report. Tashkent: MoE Publishing.
6. Murtozaqulova, N. A. (2025). Integration of AI technologies into higher education. Kokand University Herald, 16-B(5) https://doi.org/10.54613/ku.v16i.1290
7. Negoita, A., & Popescu, E. (2023). Artificial intelligence in education. Journal of Educational Technology,12(1),1.https://www.researchgate.net/publication/376695224_THE_USE_OF_ARTIFICIAL_INTELLIGENCE_IN_EDUCATION
8. NeuroEd Journal. (2025). AI and cognitive metrics in learning. NeuroEd Journal, 8(2), 45–60.
9. OECD. (2025). PISA 2025 results. Paris: OECD Publishing. PISA 2021
10. Sweller, J. (2023). Cognitive load theory update. Educational Psychologist, 58(1), 1–15.
11. Turnitin. (2024). Global academic integrity report. Turnitin Inc.
12. UNESCO. (2021). AI and education: Guidance for policy-makers. Paris: UNESCO. (2024). Personalised learning and AI. Paris: UNESCO. https://unesdoc.unesco.org
