Priority areas for applying artificial intelligence to pedagogical education

Oʻzbekcha

RAQAMLI TIBBIY MUHIT VA ELEKTRON POLIKLINIKA SHAROITIDA BO‘LAJAK OILAVIY SHIFOKORLARNING KASBIY MOTIVATSIYASINI RIVOJLANTIRISH

Published
25.04.2026
Journal
Priority areas for applying artificial intelligence to pedagogical education
Issue
Priority areas for applying artificial intelligence to pedagogical education
Pages
24-27
DOI
10.5281/zenodo.19828128

Authors

Abstract

Mazkur maqolada raqamli tibbiy muhit va elektron poliklinika tizimlari asosida bo‘lajak oilaviy shifokorlarning kasbiy motivatsiyasini rivojlantirish masalalari tahlil qilingan. Zamonaviy tibbiy ta’limda raqamli texnologiyalar, interaktiv o‘qitish usullari va sun’iy intellekt elementlarining talabalarning klinik fikrlashi, mustaqil qaror qabul qilish qobiliyati va kasbiy qiziqishini shakllantirishdagi ahamiyati yoritilgan. Shuningdek, elektron poliklinika muhitida ta’lim jarayonini tashkil etishning pedagogik imkoniyatlari asoslangan.

Keywords

klinik fikrlash sun’iy intellekt raqamli tibbiy muhit elektron poliklinika oilaviy tibbiyot kasbiy motivatsiya interaktiv ta’lim raqamli kompetensiya

Other language versions

Русский
В статье рассматриваются вопросы развития профессиональной мотивации будущих семейных врачей на основе цифровой медицинской среды и систем электронной поликлиники. Освещается роль цифровых технологий, интерактивных методов обучения и элементов искусственного интеллекта в формировании клинического мышления, самостоятельности и профессиональной заинтересованности студентов. Обоснованы педагогические возможности организации образовательного процесса в условиях электронной поликлиники.
искусственный интеллект цифровая медицинская среда электронная поликлиника семейная медицина профессиональная мотивация интерактивное обучение
English
This article examines the development of professional motivation of future family physicians based on a digital medical environment and electronic polyclinic systems. It highlights the role of digital technologies, interactive teaching methods, and artificial intelligence in enhancing clinical thinking, independence, and professional engagement of students. The pedagogical potential of organizing medical education within electronic healthcare systems is substantiated
artificial intelligence digital medical environment electronic polyclinic family medicine professional motivation interactive learning

References

1. UNESCO. Guidance for Generative AI in Education and Research. Paris, 2023.
2. World Health Organization. Global strategy on digital health 2020–2025. Geneva, 2021.
3. Zawacki-Richter O. et al. Artificial intelligence in higher education. International Journal of Educational Technology, 2019.
4. Cook D.A., Triola M.M. Virtual patients in medical education. Medical Education, 2009.
5. Holmes W. et al. Artificial Intelligence in Education. Boston, 2019.
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