METHODOLOGY FOR DEVELOPING VALEOLOGICAL CULTURE AMONG DENTAL STUDENTS BASED ON DIGITAL PEDAGOGICAL TECHNOLOGIES
This article provides a scientific substantiation of a methodology for developing valeological culture among dental students based
on digital pedagogical technologies. According to the World Health Organization, oral diseases affect approximately 3.7 billion
people worldwide, and untreated dental caries remains one of the most prevalent health conditions. In the Republic of Uzbekistan,
the prevalence of untreated caries in primary teeth among children aged 1–9 years is 47.7%, untreated caries in permanent teeth
among individuals aged 5 years and older is 34.1%, and severe periodontal diseases among individuals aged 15 years and older
account for 12.7%. These epidemiological indicators justify the need to develop preventive thinking and valeological competence
among future dental professionals. The article presents a methodological model based on the integration of learning management
systems (LMS), mobile applications, VR/AR simulation technologies, teledentistry, AI-based adaptive assessment, and eportfolios. The structural-functional model, step-by-step implementation mechanism, and diagnostic indicators of the methodology
are described
1. Topol E. High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine, 2019.
2. Rajkomar A., Dean J., Kohane I. Machine learning in medicine. New England Journal of Medicine, 2019.
3. World Health Organization. Emergency care systems for trauma. WHO, 2020.
4. American College of Surgeons. Trauma Triage Guidelines. ACS, 2021.
5. Esteva A. et al. A guide to deep learning in healthcare. Nature Medicine, 2019.
6. Ismanova, A. (2024). Yoshlarga oid davlat siyosatini amalga oshirishning pedagogik tahlili. News of UzMU journal,
1(1.4), 104-108.
7. Mukhammadjonovich, R. M., Abdulkhamidovna, I. A., Abdumukhtorovich, G. S., Abdusaitovich, T. O., & Sobirovich,
K. S. (2023). Use of new innovative methods in teaching the science of information technologies and modeling of
technological processes. Journal of Survey in Fisheries Sciences, 10(2S), 1458-1463.
8. Tukhtaeva, N., Ismanova, A., Allamuratova, Z., & Khayitboev, N. (2024, November). Using mind mapping in teaching
computer science. In AIP Conference Proceedings (Vol. 3244, No. 1). AIP Publishing.Arofat, I. (2016). Social-political
need of fighting with Enlightenment against ideology of religious extremism and terrorism. European research, (6 (17)),
96-98.
9. Ismanova, A. (2016). The Mechanisms of Influence on the Minds of Young People and Socio-Educational
Prevention. Eastern European Scientific Journal, (3).
10. Qobulova, M. (2024). Moslashuvchn onlayn o ‘quv tizimlari va ulardan tibbiy ta’limda foydalanish. News of the NUUz,
1(1.9. 1), 107-109.
11. Mengliyev, I., Meylikulov, S., Fayzullayeva, Z., & Kobulova, M. (2024, November). Education artificial intelligence
systems and their use in teaching. In AIP Conference Proceedings (Vol. 3244, No. 1). AIP Publishing.
12. Ismanova, A. A. (2018). Role of Pedagogical Prevention in Struggle Against Religious Extremism and Terrorism. Eastern
European Scientific Journal, (2).
13. Ismanova, A. A. (2015). Educational and others technologies for the prevention of the struggle against religious
extremism and terrorism. Theoretical & Applied Science, (11), 63-66.
14. Ismanova, A. (2022). Upbringing of highly educated young people is the main basis for preventing religious extremism
Copyright (c) 2026 «ACTA NUUz»
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
.jpg)
1.png)
