Sun’iy intellekt vositalarining bo‘lajak o‘qituvchilar diagnostik kompetentligini rivojlantirishdagi imkoniyatlari
DOI:
https://doi.org/10.5281/zenodo.21000525Ключевые слова:
sun’iy intellekt, diagnostik kompetentlik, bo‘lajak o‘qituvchi, ta’lim analitikasi, raqamli diagnostika, individual ta’lim traektoriyasi, oliy pedagogik ta’limАннотация
Maqolada sun’iy intellekt (SI) vositalarining bo‘lajak o‘qituvchilarda diagnostik kompetentlikni rivojlantirishdagi
imkoniyatlari nazariy va eksperimental jihatdan tahlil qilinadi. Tadqiqotda SI vositalari yordamida diagnostik ma’lumotlarni
yig‘ish, qayta ishlash va talqin etish, shuningdek, individual ta’lim traektoriyasini loyihalash mexanizmlari asoslab
beriladi. Olib borilgan eksperimental ishlar natijalari SI vositalarini diagnostik tayyorgarlik jarayoniga integratsiyalashning
samaradorligini tasdiqlaydi: tajriba guruhida yuqori darajadagi ko‘rsatkichlar 23,1 % dan 56,9 % ga ko‘tarildi, past
darajadagilar esa 42,3 % dan 13,5 % gacha kamaydi. Maqola oliy pedagogik ta’lim tizimida sun’iy intellekt vositalaridan
oqilona va etik foydalanish bo‘yicha ilmiy-uslubiy tavsiyalar bilan yakunlanadi.
Библиографические ссылки
1. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching
and Learning. Boston: Center for Curriculum Redesign.
2. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education.
London: Pearson.
3. Avanesov, V. S. (2002). Osnovy nauchnoy organizatsii pedagogicheskogo kontrolya v vysshey shkole. Pedagogicheskaya
diagnostika, (1), 41–43.
4. Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. In J. A. Larusson & B. White
(Eds.), Learning Analytics (pp. 61–75). New York: Springer.
5. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence
applications in higher education. International Journal of Educational Technology in Higher Education, 16(1), 39.
6. Rasulov, I., et al. (2015). The importance of pedagogical diagnosis for quality acquisition of knowledge. Advanced
Science Journal, 2015(3), 26. https://doi.org/10.15550/asj.2015.03.026
7. Selwyn, N. (2019). Should Robots Replace Teachers? AI and the Future of Education. Cambridge: Polity Press.
8. UNESCO. (2021). AI and Education: Guidance for Policy-makers. Paris: UNESCO Publishing. https://doi.org/10.54675/
PCSP7350
9. Heitzmann, N., et al. (2022). Learning to diagnose with simulations: Examples from teacher education and medical
education. Cham: Springer. https://doi.org/10.1007/978-3-030-89147-3
10. Coppe, T., Parmentier, M., Kelchtermans, G., Raemdonck, I., März, V., & Colognesi, S. (2024). Beyond traditional narratives
about teacher professional development: A critical perspective on teachers’ working life. Teaching and Teacher
Education, 139, 104436. https://doi.org/10.1016/j.tate.2023.104436
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