ELEKTRON TA'LIM RESURSLARI SIFATINI OSHIRISH MAQSADIDA LEARNING Q MA'LUMOTLAR TO'PLAMIGA ASOSLANGAN MOSLASHUVCHAN TOPSHIRIQLARNI SHAKLLANTIRISHNING NEYROLINGVISTIK MODELLARINI TADQIQ ETISH

https://doi.org/10.5281/zenodo.17262972

Authors

  • Salimov Jamshid Obid o‘g‘li O‘zbekiston Milliy universiteti Jizzax filiali tayanch doktoranti Author
  • Boynazarov Ilhom Maxmudovich Toshkent axborot texnologiyalari universiteti Samarqand filiali Author

Keywords:

Chuqur o‘rganish (Deep Learning), NLP (Natural Language Processing), Neyrolingvistik modellar, Kognitiv ko‘nikmalar

Abstract

Maqolada elektron taʼlim resurslari uchun moslashuvchan topshiriqlarni shakllantirish neyrolingvistik modellar asosida ko‘rib chiqiladi. Avtomatik savol-generatsiya ta’lim jarayonini samarali tashkil etishda muhim ahamiyatga ega, biroq mavjud usullar ko‘pincha faqat faktologik bilimlarni tekshirish bilan cheklanadi. Shu bois, Learning Q (230 mingdan ortiq hujjat-savol juftligi) ma’lumotlar to‘plamidan foydalanib, yuqori kognitiv ko‘nikmalarni talab qiluvchi topshiriqlarni yaratish imkoniyatlari tahlil qilindi. Tadqiqot natijalari neyrolingvistik yondashuvlarning qoida-asosidagi va an’anaviy modellar ustidan afzalliklarini ko‘rsatib, elektron ta’lim resurslarida avtomatik topshiriq generatsiyasini rivojlantirishga yo‘naltirilgan xulosalarni beradi.

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References

Salimov J., Abulaeva A. Tree classifications in machine learning and hyperparameters // Computer Science and Engineering Technologies. – 2023. – T. 1. – No. 1. – pp. 71-79 (Russian).

Boynazarov I. et al. The Evaluation Result Based on the SURE Model: Case of Samarkand Branch of TUIT //2024 International Symposium on Computer Science and Educational Technology (ISCSET). – IEEE, 2024. – С. 1-5.

Chen, G., Yang, J., & Hauff, C. (2018). LearningQ: A large-scale dataset for educational question generation. Proceedings of the 12th International AAAI Conference on Web and Social Media (ICWSM), 12, 491–500.

Salimov, Jamshid, and Javohir Yo‘ldashev. "SUN’IY INTELLEKT VA UNING TADQIQOT SOHALARI." International Journal of scientific and Applied Research 1.3 (2024): 144-147.

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Published

2025-09-27

Conference Proceedings Volume

Vol. 1 No. 3 (2025): Kompyuter ilmlari va muhandislik texnologiyalari. Xalqaro ilmiy-texnik anjuman 2-qism

Section

SECTION 1.

License

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How to Cite

Salimov , J., & Boynazarov , I. (2025). ELEKTRON TA’LIM RESURSLARI SIFATINI OSHIRISH MAQSADIDA LEARNING Q MA’LUMOTLAR TO’PLAMIGA ASOSLANGAN MOSLASHUVCHAN TOPSHIRIQLARNI SHAKLLANTIRISHNING NEYROLINGVISTIK MODELLARINI TADQIQ ETISH: https://doi.org/10.5281/zenodo.17262972. International Scientific and Practical Conference, 1(3), 38-39. https://bestjournalup.com/index.php/ispc/article/view/2113