MAKTAB TA'LIMIDA SUN'IY INTELLEKT: SHAXSIY REPITITOR VA BILIMNI BAHOLASH TIZIMLARI

Akbar Kodirov; O'g'iloy Tojimurodova; Halima Komilova

doi:10.5281/zenodo.20377234

Mualliflar

Kodirov Akbar Shuxratovich Shahrisabz davlat pedagogika instituti “Matematika va amaliy matematika” kafedra kata o‘qituvchisi
Tojimurodova O'g'iloy Farhod qizi Shahrisabz davlat pedagogika instituti, “Matematika va informatika yo'nalishi” MIs 403-guruh talabalari
Komilova Halima Hamid qizi Shahrisabz davlat pedagogika instituti

Annotatsiya

Ushbu maqolada maktab ta'limida sun'iy intellektga asoslangan shaxsiy repititor va bilimni baholash tizimlarining mohiyati, ishlash tamoyillari hamda samaradorligi tahlil qilingan. Tadqiqot natijalariga ko'ra, AI-repititorlardan foydalanadigan o'quvchilar o'rtacha test natijalarini 27–42% ga oshirgan bo'lib, o'qituvchilarning ma'muriy yuklamasi haftalik 4–6 soatga kamaygan. Maqolada Bloom "2-sigma muammosi" kontekstida AI ta'limining individual yondashuvdagi ahamiyati, matematika va informatika fanlarida adaptiv baholash mexanizmlari hamda O'zbekiston ta'lim tizimiga tatbiq etishning istiqbollari ko'rib chiqilgan. Matematik statistik tahlillar va grafik diagrammalar asosida isbotlanganki, AI-repititor tizimlari an'anaviy ta'lim metodlariga nisbatan muhim ustunliklarga ega.

Kalit soʻzlar:

sun'iy intellekt shaxsiy repititor bilimni baholash adaptiv ta'lim maktab ta'limi AI-pedagogika matematika ta'limi informatika ta'limi mashinali o'rganish Natural Language Processing.

Iqtiboslar

UNESCO. Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development. — Paris: UNESCO, 2026. — 68 b.

O'zbekiston Respublikasi Prezidentining 2020-yil 28-apreldagi «Raqamli O'zbekiston — 2030» strategiyasi to'g'risidagi Farmoni. — Toshkent, 2020.

HolonIQ. Global EdTech Market Intelligence Report 2023. — Sydney: HolonIQ, 2026.

Bloom B.S. The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring // Educational Researcher. — 1984. — Vol. 13. — P. 4–16.

VanLehn K. The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems // Educational Psychologist. — 2011. — Vol. 46 (4). — P. 197–221.

McKinsey Global Institute. The Future of Work After COVID-19. — New York: McKinsey & Company, 2021.

Luckin R. et al. Intelligence Unleashed: An Argument for AI in Education. — London: Pearson, 2016. — 76 b.

OECD. Artificial Intelligence in Society. — Paris: OECD Publishing, 2019.

Steenbergen-Hu S., Cooper H. A Meta-analysis of the Effectiveness of Intelligent Tutoring Systems on K-12 Students' Mathematical Learning // Journal of Educational Psychology. — 2013. — Vol. 105(4). — P. 970–987.

Tursunov A., Yusupova M. Maktab ta'limida raqamli texnologiyalar: muammolar va yechimlar // Pedagogik mahorat. — 2022. — №3. — B. 34–41.

Grand View Research. AI in Education Market Size, Share & Trends Analysis Report, 2024–2030. — San Francisco, 2024.

Zawacki-Richter O. et al. Systematic Review of Research on Artificial Intelligence Applications in Higher Education // International Journal of Educational Technology in Higher Education. — 2019. — Vol. 16(39).

Komilova H., Tojimurodova O'. Internet orqali ta'lim jarayonini tashkil etishning samarali usullari // SDPI Ilmiy to'plam. — 2024. — №2. — B. 112–118.

National Academy of Sciences. How People Learn: Brain, Mind, Experience, and School. — Washington D.C.: NAS Press, 2000.

Karimov I. O'zbekistonda raqamli ta'lim islohotlari: holat va istiqbollar // Xalq ta'limi. — 2023. — №4. — B. 5–14.

MAKTAB TA'LIMIDA SUN'IY INTELLEKT: SHAXSIY REPITITOR VA BILIMNI BAHOLASH TIZIMLARI

Mualliflar

Annotatsiya

Kalit soʻzlar:

Iqtiboslar

Yuklab olishlar

Nashr qilingan

Son

Boʻlim

Litsenziya

Iqtibos keltirish tartibi

Nashriyot

Aloqa

Havolalar