LMS LARDA TALABALAR XULQ ATVORINI FCM-CF ASOSIDA BAHOLASH

Authors

  • S. Qulmatova Toshkent davlat ıqtisodiyot universiteti
  • G. Eshpulotova Toshkent davlat ıqtisodiyot universiteti

Keywords:

LMS, FCM-CF, komyuter, axborot texnologiya.

Abstract

maqolada LMS larda talabalar xulq atvorini FCM-CF asosida baholash usullari o’rganib chiqilgan.

 

References

Oʼzbekiston Respublikasi Prezidentining “Kompyuterlashtirishni yanada rivojlantirish va axborot-kommunikatsiya texnologiyalarini joriy yetish to‘g‘risida”gi 30.05.2002 yildagi PF-3080 Farmoni. https://lex.uz/docs/-152470

Oʼzbekiston Respublikasi Prezidentining “Oliy ta’lim tizimini 2030-yilgacha rivojlantirish konsepsiyasini tasdiqlash toʼgʼrisida”gi 08.10.2019 yildagi PF-5847-sonli Farmoni.

O‘zbekiston Respublikasi Prezidentining “2022 — 2026-yillarga mo‘ljallangan yangi O‘zbekistonning taraqqiyot strategiyasi to‘g‘risida”gi 28.01.2022 yildagi PF-60-son Farmoni. https://lex.uz/uz/docs/-584106

Hall, L., Hung, C., Hwang, C., Oyake, A., & Yin, J. (2001). COTS-based OO-component approach for software inter-operability and reuse (software systems engineering methodology). In Aerospace Conference, 2001, IEEE Proceedings. (Vol. 6, pp. 2871-2878). IEEE.

Yawen Yang. Design and Implementation of Intelligent Learning System Based on Big Data and Artificial Intelligence. Front Psychol. 2021; 12: 726978. Published online 2021 Nov 11. doi: 10.3389/fpsyg.2021.726978.

D’Isanto and F. D’Elia, “Body, movement, and outdoor education in pre-school during the covid-19 pandemic: perceptions of teachers,” Journal of Physical Education and Sport, vol. 21, pp. 709–713, 2021.

Grawemeyer B, Gutierrez-Santos S, Holmes W, Mavrikis M, Rummel N, Mazziotti C, Janning R. Talk, tutor, explore, learn: intelligent tutoring and exploration for robust learning. Madrid: AIED; 2015. p. 2015.

Интеллектуальные системы / А.В. Остроух. – Красноярск: Научно-инновационный центр, 2015. – 110 с.

Downloads

Published

2023-05-28