Sun’iy intellekt muhitida ta’lim olish jarayonida talabalarning psixofiziologik holati va kognitiv yuklamasini baholash
DOI:
https://doi.org/10.5281/zenodo.19396449Ключевые слова:
sun’iy intellekt, kognitiv yuklama, psixofiziologiya, adaptiv ta’lim, eye-tracking, EEG, kognitiv resurslar.Аннотация
Ushbu maqolada sun’iy intellektga asoslangan ta’lim muhitida talabalarning psixofiziologik holati va kognitiv
yuklamasini baholash masalalari yoritilgan. Tadqiqotda adaptiv o‘qitish tizimlarining talaba diqqati, xotirasi va hissiy
holatiga ta’siri tahlil qilinadi. Kognitiv yuklamani o‘lchashning zamonaviy usullari va ularni optimallashtirish bo‘yicha takliflar
berilgan.
Библиографические ссылки
1. O‘zbekiston Respublikasi Prezidentining farmoni (2021-yil). Sun’iy intellekt texnologiyalarini jadal joriy etish chora-tadbirlari
to‘g‘risida. PQ-4996-son. https://lex.uz/ru/docs/-5297046
2. Anderson, J. R. (2023-yil). Cognitive Psychology and Its Implications (10th ed.). Worth Publishers.
3. Baker, R. S., & Rossi, L. M. (2024-yil). Artificial Intelligence in Education: Promises and Perils for Higher Education.
Routledge. https://doi.org/10.1016/j.aiedu.2024.100234
4. Sweller, J., Ayres, P., & Kalyuga, S. (2011-yil). Cognitive Load Theory (Explorations in the Learning Sciences, Instructional
Systems and Performance Technologies). Springer Science & Business Media.
5. Toshmatov, N. X. (2025-yil). Raqamli ta’lim muhitida talabalarning psixofiziologik moslashuvi: Monografiya. Fan va
texnologiya nashriyoti.
6. Wang, Y., & Miller, G. (2023-yil). Real-time monitoring of cognitive load using EEG and eye-tracking in AI-assisted
learning environments. Journal of Educational Technology & Society, 26(3), 85-102.
7. Zimmerman, B. J. (2022-yil). Self-regulated learning and the role of artificial intelligence in personalizing education.
Educational Psychologist, 57(4), 199-215.
8. Mayer, R. E. (2021-yil). Multimedia Learning (3rd ed.). Cambridge University Press.
9. Luckin, R. (2018-yil). Machine Learning and Human Intelligence: The Future of Education for the 21st Century. UCL
Press.
10. Kalyuga, S. (2023-yil). Expertise Reversal Effect and Its Implications for AI-based Instructional Design. Educational
Review Publications.
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