OLIY TA’LIMDA SUN’IY INTELLEKTDAN SAMARALI FOYDALANISHDA PROMPT INJINIRING KOMPETENSIYALARINI RIVOJLANTIRISH

Mualliflar

  • Xodjimuratova Zuxra Zaynitdinovna Katta o‘qituvchi, Oriental universiteti,“Matematika va axborot texnologiyalari” Kafedrasi Toshkent, Noraztepa, 52, 100095, O‘zbekiston Respublikasi Muallif

;

SI savodxonligi, inson va SI orasidagi o‘zaro muloqot (human–AI interaction), SI yordamida ta’lim olish (AI-assisted learning), bosqichma-bosqich fikrlash prompt usuli (CoT).

Abstrak

Generativ sun’iy intellekt (GenSI) va yirik til modellari (LLM) ta’lim tizimida yangi pedagogik imkoniyatlarni yaratib, inson va sun’iy intellekt (SI) o‘rtasidagi o‘zaro hamkorlikni kuchaytirmoqda. Biroq ushbu texnologiyalardan samarali foydalanish darajasi ko‘proq prompt injiniring (PI) kompetensiyasiga bog‘liq bo‘lib bormoqda. Ushbu maqolada PI ning ta’limdagi o‘rni, uning SI savodxonligi (AI literacy) bilan integratsiyasi hamda SI yordamida ta’lim olish (AI-assisted learning) jarayonlariga ta’siri filologik ta’lim kontekstida tahlil qilinadi. Tadqiqot Oriental universitetida arab, turk, xitoy va koreys filologiyasi yo‘nalishlarida tahsil olayotgan 114 nafar talaba ishtirokida 3 hafta davomida o‘tkazilgan amaliy ta’limiy intervensiyaga asoslanadi. Natijalar shuni ko‘rsatdiki, PI tamoyillari asosida ishlash talabalarning topshiriqlarni bajarish sifatini sezilarli darajada oshirdi (65% dan 95% gacha). Tadqiqot PI ni AI literacy ning muhim tarkibiy qismi va zamonaviy ta’limda integrativ pedagogik kompetensiya sifatida talqin qilish zarurligini asoslaydi

Iqtiboslar

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Davlatova, M. A., & Speranskaya, M. V. (2026). Prompt engineering as a key competence in education: Essence, features and assessment approaches. Higher Education in Russia, 35(2), 53–73. https://doi.org/10.31992/0869-3617-2026-35-2-53-73

Cain, W. (2024). Prompting change: Exploring prompt engineering in large language model AI and its potential to transform education. TechTrends, 68, 47–57. https://doi.org/10.1007/s11528-023-00896-0

Al Hauna, A. D., Yunus, A. P., Fukui, M., & Siti Khomsah. (2025). Enhancing LLM efficiency: A literature review of emerging prompt optimization strategies. International Journal on Robotics, Automation and Sciences, 7(1), 72–83. https://doi.org/10.33093/ijoras.2025.7.1.9

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Nashr qilingan

2026-05-31

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Iqtibos keltirish tartibi

Xodjimuratova , Z. (2026). OLIY TA’LIMDA SUN’IY INTELLEKTDAN SAMARALI FOYDALANISHDA PROMPT INJINIRING KOMPETENSIYALARINI RIVOJLANTIRISH. Yevroosiyo Matematik Nazariya Va Kompyuter Fanlari Jurnali, 6(5), 27-39. https://www.in-academy.uz/index.php/EJMTCS/article/view/51021
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