SUNʼIY INTELLEKT YORDAMIDA TAʼLIMNI BOSHQARISH
Ключевые слова:
Kalit so‘zlar: Sunʼiy intellekt, taʼlimni boshqarish, raqamli texnologiyalar, adaptiv taʼlim, taʼlim tizimi, avtomatlashtirish, maʼlumotlar tahlili.Аннотация
Annotatsiya: Ushbu maqolada sunʼiy intellekt (SI) texnologiyalarining zamonaviy taʼlim jarayonidagi boshqaruv faoliyatiga integratsiyasi masalalari o‘rganiladi. Tadqiqot doirasida sunʼiy intellekt vositalari yordamida taʼlim sifati monitoringi, o‘quv jarayonini individuallashtirish, baholash tizimini avtomatlashtirish, resurslarni boshqarish va boshqaruv qarorlarini qabul qilishdagi imkoniyatlari tahlil qilinadi. Metod sifatida taqqoslov, kontent tahlil va eksperimental tajribalar asosida SI texnologiyalarining real taʼlim tizimidagi samaradorlik darajasi aniqlanadi. Natijalar sunʼiy intellekt yordamida samarali boshqaruv mexanizmini shakllantirish bo‘yicha aniq tavsiyalar bilan yakunlanadi.
Библиографические ссылки
1. Akkaya-Kalayci, T., & Yildirim, S. (2020). Ethics of artificial intelligence in education: A literature review. Journal of Educational Technology & Society, 23(3), 84-99.
2. Baker, R. S. J. d., & Siemens, G. (2014). Educational data mining and learning analytics. In J. Spector, M. Merrill, J. Elen, & M. J. Bishop (Eds.), Handbook of research on educational communications and technology (4th ed., pp. 131-141). Springer.
3. Baroody, A., & Wilkins-Yel, K. G. (2021). Ethical considerations for the use of artificial intelligence in education. Journal of Educational Technology & Society, 24(2), 61-72.
4. Blikstein, P. (2019). Artificial intelligence and education: The promises and perils of personalized learning. Journal of Computer Assisted Learning, 35(3), 231-244. doi: 10.1111/jcal.12342
5. Chen, J., & Lerman, K. (2019). Ethical challenges of machine learning in education. In Proceedings of the 9th International Conference on Learning Analytics & Knowledge (pp. 481–485). ACM.
6. Chen, X., Li, L., Li, X., & Li, J. (2021). A review of personalized learning based on artificial intelligence. International Journal of Emerging Technologies in Learning, 16(4), 35-47.
7. Ecker, U. K. H., Langer, A. I., König, C. J., & Schmitz, E. A. (2018). Automated essay grading in the sociology classroom: Finding common ground. Teaching Sociology, 46(4), 283-292