СОВРЕМЕННАЯ МЕТОДИКА ОБУЧЕНИЯ АНГЛИЙСКОМУ ЯЗЫКУ СТУДЕНТОВ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ НА ОСНОВЕ ТЕХНОЛОГИИ CLIL
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Maqolada YUNESKO tomonidan 2024-yilda ishlab chiqilgan “O‘qituvchilar uchun sun’iy intellekt kompetensiyalari yo‘riqnomasi” (AI Competency Framework for Teachers) asosida matematika o‘qituvchilarining sun’iy intellekt (SI) sohasidagi kasbiy-pedagogik kompetensiyalarini rivojlantirish masalalari tahlil qilingan. Yo‘riqnomada belgilangan asosiy kompetensiyalar hamda ularning matematika ta’limidagi amaliy qo‘llanilishi yoritilgan. Xorijiy va mahalliy ilmiy manbalar tahlili asosida matematika darslarida adaptiv o‘quv platformalari, aqlli baholash tizimlari va generativ SI vositalaridan foydalanish imkoniyatlari baholangan. Tadqiqot natijalari matematika o‘qituvchilarining SI kompetensiyalarini YUNESKO yo‘riqnomasi asosida takomillashtirish hamda uzluksiz kasbiy rivojlanish tizimini rivojlantirish bo‘yicha amaliy tavsiyalarni ishlab chiqishga xizmat qiladi.
1. O‘zbekiston Respublikasi Prezidentining “Raqamli O‘zbekiston – 2030” strategiyasini tasdiqlash to‘g‘risida”gi Farmoni. (2020). Toshkent.
2. YUNESKO. (2024). AI competency framework for teachers. United Nations Educational, Scientific and Cultural Organization.
3. Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054.
4. Luo, L., va boshq. (2025). The status quo and future of AI-TPACK for mathematics teacher education students: A case study in Chinese universities. arXiv preprint. https://arxiv.org/pdf/2503.13533
5. Fan, J., Wang, H., & Gu, X. (2026). Development and validation of a framework and scale for primary and secondary school teachers' data-artificial intelligent competence. Frontiers in Psychology, 17, Article 1756893. https://doi.org/10.3389/fpsyg.2025.1756893
6. Unlocking AI potential in primary mathematics: Teachers' technological pedagogical readiness in China. (2025). ScienceDirect. https://www.sciencedirect.com/science/article/pii/S0001691825008716
7. Integrating artificial intelligence in primary mathematics education: Investigating internal and external influences on teacher adoption. (2024). International Journal of Science and Mathematics Education. https://doi.org/10.1007/s10763-024-10515w
8. AI utilization in primary mathematics education: A case study from a southwestern Chinese city. (2025). Education and Information Technologies. https://doi.org/10.1007/s10639-025-13315-z
9. Effectiveness of artificial intelligence (AI) in improving pupils' deep learning in primary school mathematics teaching in Fujian Province. (2022). PMC. https://pmc.ncbi.nlm.nih.gov/articles/PMC9525744/
10. 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, Article 39. https://doi.org/10.1186/s41239-019-0171-0
11. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
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