SUN’IY INTELLEKT YORDAMIDA MATEMATIK TA’LIM SAMARADORLIGINI OSHIRISH
Keywords:
Kalit so‘zlar: sun’iy intellekt, matematika ta’limi, raqamli ta’lim, adaptiv ta’lim, STEM, innovatsion texnologiyalar, matematik kompetensiya, ta’lim samaradorligi.Abstract
ANNOTATSIYA: Mazkur maqolada sun’iy intellekt texnologiyalarining
matematika ta’limidagi o‘rni, imkoniyatlari va samaradorligi tahlil qilinadi. Raqamli
texnologiyalarning jadal rivojlanishi natijasida sun’iy intellekt ta’lim tizimining
muhim tarkibiy qismiga aylanib bormoqda. Ayniqsa, matematika fanini o‘qitishda
sun’iy intellekt asosidagi platformalar va dasturlar o‘quvchilarning bilim darajasini
aniqlash, individual ta’lim yo‘nalishlarini shakllantirish hamda murakkab matematik
tushunchalarni oson o‘zlashtirish imkonini bermoqda.
Tadqiqot davomida sun’iy intellekt texnologiyalarining matematik ta’limga
ta’siri ilmiy manbalar asosida tahlil qilindi. Shuningdek, adaptiv ta’lim tizimlari,
avtomatlashtirilgan baholash vositalari va interaktiv platformalarning o‘quvchilarning
mantiqiy fikrlashi hamda muammolarni hal qilish kompetensiyalarini
rivojlantirishdagi ahamiyati o‘rganildi. Natijalar sun’iy intellekt texnologiyalaridan
foydalanish ta’lim samaradorligini oshirish, o‘quvchilarning o‘quv motivatsiyasini
kuchaytirish va o‘qituvchilarning ish faoliyatini optimallashtirishga xizmat qilishini
ko‘rsatdi.
Shu bilan birga, maqolada texnologiyalarga ortiqcha qaramlik, axborot
xavfsizligi, akademik halollik va o‘quvchilarning mustaqil fikrlash faoliyatiga ta’siri
bilan bog‘liq ayrim muammolar ham tahlil qilingan. Tadqiqot yakunida sun’iy intellekt
texnologiyalaridan oqilona va maqsadli foydalanish matematika ta’limi sifatini
oshirishning muhim omili ekanligi xulosa qilinadi.
References
FOYDALANILGAN ADABIYOTLAR
1. Russell S., Norvig P. Artificial Intelligence: A Modern Approach. Pearson
Education, 2021.
2. Polya G. How to Solve It. Princeton University Press, 2014.
3. UNESCO. Guidance for Generative AI in Education and Research. Paris, 2023.
4. OECD. Artificial Intelligence and the Future of Skills. OECD Publishing, 2024.
5. Hwang G.J., Xie H., Gašević D. Artificial Intelligence in Education: Challenges
and Opportunities. Computers & Education: Artificial Intelligence, 2023.
6. Luckin R. Machine Learning and Human Intelligence. UCL Institute of
Education Press, 2018.
7. Holmes W., Bialik M., Fadel C. Artificial Intelligence in Education. Center for
Curriculum Redesign, 2019.
8. Zawacki-Richter O., Marín V.I., Bond M., Gouverneur F. Systematic Review of
Research on Artificial Intelligence Applications in Higher Education.
International Journal of Educational Technology in Higher Education, 2019.
9. Chen X., Xie H., Zou D., Hwang G.J. Application and Theory Gaps During the
Rise of Artificial Intelligence in Education. Computers and Education: Artificial
Intelligence, 2020.
10. Williamson B., Eynon R. Historical Threads, Missing Links and Future
Directions in AI in Education. Learning, Media and Technology, 2020.
11. Woolf B.P. Building Intelligent Interactive Tutors. Morgan Kaufmann, 2021.
12. Baker R., Inventado P. Educational Data Mining and Learning Analytics.
Springer, 2018.
13. VanLehn K. The Relative Effectiveness of Human Tutoring and Intelligent
Tutoring Systems. Educational Psychologist, 2019.
14. Woolf B., Lane H., Chaudhri V., Kolodner J. AI Grand Challenges for
Education. AI Magazine, 2021.
15. Boaler J. Mathematical Mindsets. Jossey-Bass, 2019.
16. UNESCO. Guidance for Generative AI in Education and Research. Paris, 2023.
17. OECD. Artificial Intelligence and the Future of Skills. OECD Publishing, 2024.
18. Hwang G.J., Xie H., Gašević D. Artificial Intelligence in Education: Challenges
and Opportunities. Computers & Education: Artificial Intelligence, 2023.
19. Luckin R. Machine Learning and Human Intelligence. UCL Institute of
Education Press, 2018.
20. Holmes W., Bialik M., Fadel C. Artificial Intelligence in Education. Center for
Curriculum Redesign, 2019.
21. Zawacki-Richter O., Marín V.I., Bond M., Gouverneur F. Systematic Review of
Research on Artificial Intelligence Applications in Higher Education.
International Journal of Educational Technology in Higher Education, 2019.
22. Chen X., Xie H., Zou D., Hwang G.J. Application and Theory Gaps During the
Rise of Artificial Intelligence in Education. Computers and Education: Artificial
Intelligence, 2020.
23. Williamson B., Eynon R. Historical Threads, Missing Links and Future
Directions in AI in Education. Learning, Media and Technology, 2020.
24. Woolf B.P. Building Intelligent Interactive Tutors. Morgan Kaufmann, 2021.
25. Baker R., Inventado P. Educational Data Mining and Learning Analytics.
Springer, 2018.
26. VanLehn K. The Relative Effectiveness of Human Tutoring and Intelligent
Tutoring Systems. Educational Psychologist, 2019.
27. Woolf B., Lane H., Chaudhri V., Kolodner J. AI Grand Challenges for
Education. AI Magazine, 2021.
28. Boaler J. Mathematical Mindsets. Jossey-Bass, 2019.
29. Bu qismni avval yuborilgan Annotatsiya + Kirish + Adabiyotlar tahlili +
Metodologiya bilan birlashtirsangiz, Atakulova Dildora nomiga 6–8 sahifalik
IMRaD formatidagi maqola tayyor bo‘ladi.
