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Republican Scientific and Practical Conference “Digital and Pedagogical Transformation and Research Models in Modern Education”

This conference is included in the “Plan of Scientific and Scientific-Technical Events to Be Held at the International and Republican Levels in 2026” pursuant to Order No. 11 of the Ministry of Higher Education, Science and Innovation of the Republic of Uzbekistan dated January 16, 2026, and was organized by the Department of Intellectual Disciplines and Information Technologies of Namangan State Pedagogical Institute on October 28–29, 2026.

1+ Issues
64+ Articles
82+ Participants
29.10.2026
43
Oʻzbekcha

MATEMATIKA TA’LIMIDA SUN’IY INTELLEKT (AI) VA ADAPTIV O‘QUV DASTURLARINING PEDAGOGIK SAMARADORLIGI

Published
29.10.2026
Journal
Republican Scientific and Practical Conference “Digital and Pedagogical Transformation and Research Models in Modern Education”
Issue
Republican Scientific and Practical Conference “Digital and Pedagogical Transformation and Research Models in Modern Education”
Pages
306-311
DOI
10.5281/zenodo.23573650

Authors

Azimjonova Dilnavo Anvarjon qizi , Mo‘minova Muxayyo Usmanovna

Abstract

Ushbu maqolada matematika ta’limida sun’iy intellekt va adaptiv o‘quv dasturlaridan foydalanishning pedagogik samaradorligi tahlil qilingan. Shuningdek, mazkur texnologiyalarning o‘quvchilarning individual ehtiyojlarini hisobga olish, bilimlarini mustahkamlash va ta’lim sifatini oshirishdagi imkoniyatlari yoritilgan.

Keywords

adaptiv o‘qitish individuallashtirilgan ta’lim matematika ta’limi pedagogik samaradorlik raqamli texnologiyalar shakllantiruvchi baholash. sun’iy intellekt

Other language versions

Русский
В данной статье анализируется педагогическая эффективность использования искусственного интеллекта и адаптивных образовательных программ в обучении математике. Рассматриваются возможности данных технологий в повышении качества образования и учёте индивидуальных потребностей учащихся.
адаптивное обучение индивидуализация обучения искусственный интеллект математическое образование педагогическая эффективность формирующее оценивание. цифровые технологии
English
This article analyzes the pedagogical effectiveness of artificial intelligence and adaptive learning programs in mathematics education. It explores their potential to improve learning outcomes, strengthen mathematical knowledge, and address students’ individual learning needs.
adaptive learning artificial intelligence digital technologies formative assessment. mathematics education pedagogical effectiveness personalized learning

References

1. OECD. OECD Digital Education Outlook 2023: Towards an Effective Digital Education Ecosystem. Paris: OECD Publishing, 2023. https://doi.org/10.1787/c74f03de-en
2. Holmes, W., Bialik, M., Fadel, C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign, 2019. https://discovery.ucl.ac.uk/id/eprint/10139722
3. Luckin, R., Holmes, W., Griffiths, M., Forcier, L. B. Intelligence Unleashed: An Argument for AI in Education. London: Pearson, 2016. https://discovery.ucl.ac.uk/id/eprint/1475756
4. Kulik, J. A., Fletcher, J. D. Effectiveness of Intelligent Tutoring Systems: A Meta-Analytic Review. Review of Educational Research, 2016, 86(1), 42–78. https://doi.org/10.3102/0034654315581420
5. Zawacki-Richter, O., Marín, V. I., Bond, M., Gouverneur, F. Systematic Review of Research on Artificial Intelligence Applications in Higher Education – Where Are the Educators? International Journal of Educational Technology in Higher Education, 2019, 16, Article 39. https://doi.org/10.1186/s41239-019-0171-0
6. UNESCO. Guidance for Generative AI in Education and Research. Paris: UNESCO, 2023. https://doi.org/10.54675/EWZM9535
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