KATTA TIL MODELLARINING FIZIKA TA’LIMIDAGI SAMARADORLIGI: YECHIM ANIQLIGI VA XATOLIK TAHLILI
DOI:
https://doi.org/10.56292/SJFSU/vol31_iss3/a159Kalit so‘zlar:
sun’iy intellekt, katta til modellari, fizika ta’limi, ChatGPT, Gemini, DeepSeek.Annotatsiya
Ushbu maqolada sun’iy intellekt (SI) modellarining (ChatGPT, Gemini, DeepSeek) fizika ta’limiga qo‘llanilishiga doir tajribaviy tadqiqot bayoni keltiriladi. Mualliflar mexanika va molekulyar fizika bo‘yicha masalalarni ushbu modellar yordamida yechish metodikasini ishlab chiqib, olingan yechimlarning xususiyatlari va ilmiy-texnikaviy ahamiyatini tahlil qiladilar. Shuningdek, sun’iy intellekt xatolarining tabiati, bunday vositalardan o‘quv jarayonida samarali foydalanish imkoniyatlari hamda ilmiy-etik me’yorlarga rioya qilish masalalari yoritiladi.
Adabiyotlar
1. Dahlkemper, M. N., Lahme, S. Z., & Klein, P. (2023). How do physics students evaluate artificial intelligence responses on comprehension questions? Physical Review Physics Education Research, 19(1), 010142. https://doi.org/10.1103/PhysRevPhysEducRes.19.010142
2. Wang, K. D., Burkholder, E., Wieman, C., Salehi, S., & Haber, N. (2023). Examining the potential and pitfalls of ChatGPT in science and engineering problem-solving. arXiv preprint arXiv:2310.08773.
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Mualliflik huquqi (c) 2025 Scientific journal of the Fergana State University
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