OLIY TA’LIMDA RAG TEXNOLOGIYASIGA ASOSLANGAN INTELLEKTUAL ÖQUV YORDAMÇILARI: IMKONIYATLAR, ÇEKLOVLAR VA ILMIY BÖŞLIQLAR
DOI:
https://doi.org/10.5281/zenodo.23996469Аннотация
Maqolada katta til modellarining (LLM) oliy ta’limda qöllanilişida yuzaga keladigan gallyutsinatsiya, manbasiz javob beriş va talabaning tayyor javobga haddan taşqari tayanib qolişi muammolari körib çiqilgan. Uşbu muammolarni yumşatiş vositasi sifatida ma’lumot qidiriş bilan kengaytirilgan generatsiya (RAG) texnologiyasiga asoslangan öquv yordamçilari böyiça 2020–2026-yillarda e’lon qilingan töqqizta ilmiy iş tahlil qilingan. Tahlil natijasida mavjud tizimlarning javob keçikişi, himoya mexanizmlarini çetlab ötiş, lokal resurslarning çeklanganligi, özbek tilidagi materiallar bilan işlamasligi va pedagogik samaradorligining empirik baholanmaganligi kabi böşliqlar aniqlangan. Şular asosida fan dasturi va darsliklar bilan çeklangan, himoyalangan RAG öquv yordamçisini işlab çiqişga bağişlangan magistrlik dissertatsiyasi tadqiqotining vazifalari asoslab berilgan. Kalit sözlar: sun’iy intellekt, katta til modellari, RAG, gallyutsinatsiya, intellektual öquv yordamçisi, oliy ta’lim, akademik halollik.Ключевые слова
sun’iy intellekt, katta til modellari, RAG, gallyutsinatsiya, intellektual öquv yordamçisi, oliy ta’lim, akademik halollik.Библиографические ссылки
1. Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., & Goyal, N. (2020). ... Kiela D. Retrieval-augmented generation for knowledge-intensive NLP tasks. Advances in Neural Information Processing Systems, 33, 9459–9474.
2. Swacha, J., & Gracel, T. (2025). RAG chatbots for education: A survey of applications. Applied Sciences, 15(8).
3. Gao, Y., Xiong, Y., Gao, X., Jia, K., Pan, J., Bi, Y., Dai, Y., Sun, J., Wang, M., & Wang, H. (2023). Retrieval-augmented generation for large language models: A survey. arXiv preprint arXiv:2312.10997.
4. Raihan, N., Siddiq, M. L., Santos, J. C. S., & Zampieri, M. (2025). Large language models in computer science education: A systematic literature review. Proceedings of the ACM Technical Symposium on Computer Science Education (SIGCSE TS ’25). ACM.
5. Ma, I., Martins, A. K., Lopes, C. V., & Integrating, A. I. (2024). tutors in a programming course. Proceedings of the 1st ACM Virtual Global Computing Education Conference (SIGCSE Virtual.
6. Taneja, K., Maiti, P., Kakar, S., Guruprasad, P., Rao, S., & Goel, A. K. (2024). Jill Watson: A virtual teaching assistant powered by ChatGPT. Proceedings of the International Conference on Artificial Intelligence in Education (AIED.
7. Kortemeyer, G. (2024). Ethel: A virtual teaching assistant. The Physics Teacher.
8. Tel-Zur, G. (2025). A GPU-accelerated RAG-based Telegram assistant for supporting parallel processing students. Proceedings of the Workshop on Education for High Performance Computing (EduHPC.
9. Gray, A., & Hobbs, J. (2026). Reducing barriers to academic support: Evaluating a course-specific RAG system for addressing help-seeking disparities in higher education. arXiv preprint arXiv:2609.21600.
Загрузки
Опубликован
Выпуск
Раздел
Лицензия
Copyright (c) 2026 «Maktabgacha va maktab ta’limi» jurnali

Это произведение доступно по лицензии Creative Commons «Attribution» («Атрибуция») 4.0 Всемирная.
