research-focus Research Focus International Scientific Journal Research Focus 2181-3833 Ilm-fan va innovatsiyalar akademiyasi 10.66073/researchfocus.v5i6.2394 REL-A-013508 13.00.00 INTELLIGENCE-BASED ADAPTIVE LEARNING ENVIRONMENTS IN HIGHER EDUCATION ОЦЕНКА КОГНИТИВНЫХ ВОЗМОЖНОСТЕЙ АДАПТИВНЫХ ОБРАЗОВАТЕЛЬНЫХ СРЕД НА ОСНОВЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В ВЫСШЕМ ОБРАЗОВАНИИ OLIY TA‘LIMDA SUN‘IY INTELLEKTGA ASOSLANGAN ADAPTIV O‘QUV MUHITLARINING KOGNITIV IMKONIYATLARINI BAHOLASH Abdurazoqov Boburjon Sobirjon o‘g‘li PhD, Associate Professor at Samarkand State Pedagogical Institute 05 07 2026 2026 5 6 127 134 https://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License.

This study examines the role of AI-based adaptive learning environments in higher education in assessing and enhancing students‘ cognitive capabilities. It analyzes mechanisms of personalized learning pathways enabled by artificial intelligence, optimization of knowledge acquisition processes, and the development of cognitive functions such as attention, memory, thinking, and metacognition. Additionally, a model for evaluating the cognitive effectiveness of adaptive learning environments is proposed. The findings contribute to strengthening digital transformation in higher education and improving educational quality.

Данное исследование посвящено изучению роли адаптивных образовательных сред, основанных на искусственном интеллекте, в оценке и развитии когнитивных возможностей студентов в системе высшего образования. В работе анализируются механизмы формирования индивидуальных образовательных траекторий с использованием технологий ИИ, оптимизация процесса усвоения знаний, а также развитие когнитивных процессов (внимание, память, мышление и метакогниция). Также разрабатывается модель оценки когнитивной эффективности адаптивных образовательных сред. Результаты исследования направлены на усиление цифровой трансформации высшего образования и повышение качества обучения.

Mazkur tadqiqot oliy ta‘lim tizimida sun‘iy intellektga asoslangan adaptiv o‘quv muhitlarining talabalarning kognitiv imkoniyatlarini rivojlantirish va baholashdagi rolini o‘rganishga bag‘ishlangan. Tadqiqotda AI texnologiyalari yordamida individual ta‘lim trayektoriyalarini shakllantirish, bilimlarni o‘zlashtirish jarayonini optimallashtirish hamda kognitiv jarayonlarni (diqqat, xotira, tafakkur va metakognitsiya) rivojlantirish mexanizmlari tahlil qilinadi. Shuningdek, adaptiv o‘quv muhitlarining kognitiv samaradorligini baholash modeli ishlab chiqiladi. Tadqiqot natijalari oliy ta‘limda raqamli transformatsiyani kuchaytirish va ta‘lim sifatini oshirishga xizmat qiladi.

 artificial intelligence adaptive learning environment cognitive capabilities higher education digital pedagogy personalized learning metacognition educational technologies learning analytics modeling искусственный интеллект адаптивная образовательная среда когнитивные возможности высшее образование цифровая педагогика индивидуальное обучение метакогниция образовательные технологии learning analytics моделирование sun‘iy intellekt adaptiv o‘quv muhit kognitiv imkoniyatlar oliy ta‘lim raqamli pedagogika individual ta‘lim metakognitsiya ta‘lim texnologiyalari o‘quv analitikasi modellashtirish Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive- developmental inquiry. American Psychologist, 34(10), 906–911. Greiff, S., Wüstenberg, S., & Avvisati, F. (2015). Computer-generated log-file analyses as indicators of problem-solving processes. Educational Research Review, 14, 19–31. Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign. Luckin, R. (2018). Machine Learning and Human Intelligence: The Future of Education for the 21st Century. London: UCL Institute of Education Press. Pekrun, R. (2006). The Control-Value Theory of Achievement Emotions. Educational Psychology Review, 18(4), 315–341. Perkins, D. N., & Salomon, G. (1992). Transfer of learning. International Encyclopedia of Education, 2, 6452–6457. Siemens, G., & Long, P. (2011). Penetrating the fog: Analytics in learning and education. EDUCAUSE Review, 46(5), 30–40. Shute, V. J., & Zapata-Rivera, D. (2012). Adaptive Educational Systems. In Adaptive Technologies for Training and Education (pp. 7–27). Sternberg, R. J. (2006). The nature of creativity. Creativity Research Journal, 18(1), 87– Jack C. Richards. Approaches and Methods in Language Teaching. Cambridge: Cambridge University Press, 2019. N. Muslimov. Innovatsion ta’lim texnologiyalari. Toshkent: O‘zbekiston Respublikasi Oliy ta’lim nashriyoti, 2020. UNESCO. Artificial Intelligence and Education: Guidance for Policy-Makers. Paris, 2021. S. Tursunov. “Virtual reallik texnologiyalarining ta’lim jarayonidagi ahamiyati.” Zamonaviy ta’lim, 2023, №2, 33–40-betlar. A. Karimov. “Generativ sun’iy intellekt asosida adaptiv o‘qitish tizimlari.” Ta’lim va innovatsiya, 2024, №1, 27–35-betlar.