Informatika ta’limida sun’iy intellekt texnologiyalaridan foydalanishning metodik asoslari

Авторы

  • Gulsevar Toshmurodova Автор

DOI:

https://doi.org/10.5281/zenodo.20321572

Ключевые слова:

informatika ta’limi, sun’iy intellekt, generativ sun’iy intellekt, algoritmik tafakkur, raqamli kompetensiya, dasturlash, adaptiv ta’lim, akademik halollik

Аннотация

Informatika ta’limida sun’iy intellekt texnologiyalaridan foydalanishning metodik asoslari tahlil qilingan.
Sun’iy intellektga asoslangan o‘quv vositalarining algoritmik tafakkur, dasturlash, ma’lumotlar bilan ishlash hamda muammoli
vaziyatlarni hal etish ko‘nikmalarini rivojlantirishdagi imkoniyatlari yoritilgan. Shuningdek, generativ sun’iy intellekt
vositalaridan foydalanishda akademik halollik tamoyillariga rioya qilish, ma’lumotlar maxfiyligini ta’minlash, sun’iy intellekt
tomonidan yaratilgan natijalarni tekshirish va o‘qituvchi nazoratining ahamiyati asoslab berilgan. Informatika darslariga
sun’iy intellekt texnologiyalarini bosqichma-bosqich integratsiya qilish modeli, metodik shart-sharoitlar hamda amaliy tavsiyalar
ishlab chiqilgan

Биография автора

  • Gulsevar Toshmurodova

    Navoiy davlat universiteti Aniq fanlar fakulteti talabasi

Библиографические ссылки

1. O‘zbekiston Respublikasi Prezidentining 2020-yil 5-oktabrdagi PF-6079-son Farmoni. “Raqamli O‘zbekiston – 2030”

strategiyasini tasdiqlash va uni samarali amalga oshirish chora-tadbirlari to‘g‘risida. Lex.uz: https://lex.uz/docs/-

5030957

2. Miao, F., Holmes, W., Huang, R., & Zhang, H. (2021). AI and Education: Guidance for Policy-Makers. Paris: UNESCO.

ISBN: 978-92-3-100447-6. DOI: 10.54675/PCSP7350.

3. Miao, F., & Holmes, W. (2023). Guidance for Generative AI in Education and Research. Paris: UNESCO. https://www.

unesco.org/en/articles/guidance-generative-ai-education-and-research

4. OECD. (2021). OECD Digital Education Outlook – 2021: Pushing the Frontiers with Artificial Intelligence, Blockchain

and Robots. Paris: OECD Publishing. DOI: 10.1787/589b283f-en.

5. European Commission. (2022). Ethical Guidelines on the Use of Artificial Intelligence and Data in Teaching and

Learning for Educators. Luxembourg: Publications Office of the European Union. https://op.europa.eu/en/publication-

detail/-/publication/d81a0d54-5348-11ed-92ed-01aa75ed71a1/language-en

6. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic Review of Research on Artificial Intelligence

Applications in Higher Education – Where Are the Educators? International Journal of Educational Technology

in Higher Education, 16, 39. DOI: 10.1186/s41239-019-0171-0.

7. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching

and Learning. Boston: Center for Curriculum Redesign. ISBN: 978-1-794-29370-0.

8. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education.

London: Pearson.

9. Wing, J. M. (2006). Computational Thinking. Communications of the ACM, 49(3), 33–35. DOI: 10.1145/1118178.1118215.

10. ACM/IEEE-CS/AAAI Joint Task Force. (2024). Computer Science Curricula – 2023. New York: Association for Computing

Machinery. DOI: 10.1145/3664191.

Опубликован

2026-05-01

Как цитировать

Informatika ta’limida sun’iy intellekt texnologiyalaridan foydalanishning metodik asoslari. (2026). MAKTABGACHA VA MAKTAB TA’LIMI JURNALI, 4(5). https://doi.org/10.5281/zenodo.20321572