XUSUSIY MAKTABLARNING BOSHQARUV TIZIMINI QAROR QABUL TIZIMLARI VA O‘RGANUVCHI ANALITIKASI YORDAMIDA YANGILASHNING YO‘LLARI
DOI:
https://doi.org/10.5281/zenodo.19186306Ключевые слова:
qaror qabul qilish tizimlari, ta’lim analitikasi, boshqaruvni modernizatsiya qilish, texnologiyani joriy etish, tashkiliy tayyorgarlik, ma’muriy samaradorlik, xususiy maktab boshqaruviАннотация
Tanlovni modellashtirish — bu qarorlarni tahlil qilishning bir shakli bo‘lib, unda respondentlardan cheklangan
imkoniyatlarni ham o‘z ichiga olgan bir nechta muqobil variantlar ro‘yxatidan eng maqbul variantni tanlash so‘raladi. Ushbu
maqolada O‘zbekistondagi xususiy maktablarda qaror qabul qilish tizimlari va ta’lim analitikasi ko‘rib chiqiladi. Maqolaning
maqsadi maktab menejerlari an’anaviy boshqaruv yondashuvini rad etadi degan taxminga asoslangan konseptual
modelni ishlab chiqishdan iborat. Mazkur maqolaning asosiy vazifasi SEM usuli asosida boshqaruvni modernizatsiya
qilish jarayonini tahlil qilib, maktab rahbarlarining qaror qabul qilish jarayonini yanada aniqroq tushunishga hamda
siyosat ishlab chiquvchilar uchun rejalashtirish jarayonida foydali tushunchalar berishga qaratilgan. Maqola konseptual
tadqiqot tahlilidan boshlanadi, so‘ngra tadqiqot dizayni va metodologiyasi muhokama qilinadi hamda boshqaruv tizimini
takomillashtirish bo‘yicha amaliy ahamiyatga ega bo‘lgan xulosalar bilan yakunlanadi. Boshqaruv tizimini tahlil qilish
jarayonida quyidagi masalalar ko‘rib chiqildi: maktab boshqaruvini axborot bilan ta’minlovchi qaror qabul qilish tizimlari,
ta’lim analitikasi tushunchasi, texnologiyani joriy etish va boshqaruvni takomillashtirish o‘rtasidagi bog‘liqlik, shuningdek
tashkilotning tayyorgarlik darajasi va ma’muriy samaradorlik. Tadqiqot natijalari shuni ko‘rsatdiki, qaror qabul qilish
tizimlari bilan xususiy maktablar boshqaruvini takomillashtirishning har bir komponenti o‘rtasida sezilarli va ijobiy bog‘liqlik
mavjud. Natijalar shuni ko‘rsatadiki, xususiy maktablarning boshqaruv amaliyotlari asosan ma’muriy ustuvorliklar bilan
boshqarilgan. Biroq modernizatsiya amaliyotlari ularning amalga oshirilishiga qarab farq qilgan: ular qarorlarni qo‘llabquvvatlash
tizimlariga, ta’lim analitikasiga yoki maktab boshqaruvining operatsion samaradorligiga ko‘proq yo‘naltirilgan
bo‘lishi mumkin, yoki ushbu uch omilning kombinatsiyasiga asoslangan bo‘lishi mumkin. Natijalar, shuningdek, boshqaruv
tizimini modernizatsiya qilish va uni xususiy maktablarda joriy etish, shuningdek O‘zbekistondagi maktab rahbarlari va
siyosat ishlab chiquvchilar uchun amaliy hamda siyosiy ahamiyatga ega xulosalarni ham yoritib beradi. Shu sababli
maktab rahbarlariga boshqaruv samaradorligini oshirishda ta’lim analitikasining ahamiyatini o‘rganish va chuqur tushunish
tavsiya etiladi.
Библиографические ссылки
1. Cai, Z. (2024). The Impact of Educational Informatics on School Management Decision-Making in the Context of Big
Data. Int. J. Interact. Mob. Technol., 18, 48-62. https://doi.org/10.3991/ijim.v18i15.50687
2. Dwivedi, A., Dsouza, M., & Aggarwal, A. (2024). AI-Driven School Management System: A React-Based Web Application
Enhancing Educational Administration and Student Performance Analytics. International Journal of Innovative Science
and Research Technology (IJISRT). https://doi.org/10.38124/ijisrt/ijisrt24apr2465
3. Bai, H. (2024). Design and Application of Decision Support System for Educational Management Based on Big
Data. Journal of Electrical Systems. https://doi.org/10.52783/jes.3084
4. Akram, M., & Khan, A. (2020). Exploring E-Leadership of Principals: Increasing School Effectiveness by Learning
Management System. Journal of Education & Social Sciences. https://doi.org/10.20547/jess0812008102
5. Shoaib, M., Sayed, N., Singh, J., Shafi, J., Khan, S., & Ali, F. (2024). AI student success predictor: Enhancing
personalized learning in campus management systems. Comput. Hum. Behav., 158, 108301. https://doi.org/10.1016/j.
chb.2024.108301
6. Demartini, C., Sciascia, L., Bosso, A., & Manuri, F. (2024). Artificial Intelligence Bringing Improvements to Adaptive
Learning in Education: A Case Study. Sustainability. https://doi.org/10.3390/su16031347
7. Sušnjak, T., Ramaswami, G., & Mathrani, A. (2022). Learning analytics dashboard: a tool for providing actionable
insights to learners. International Journal of Educational Technology in Higher Education, 19. https://doi.org/10.1186/
s41239-021-00313-7
8. Song, Y., & Wang, N. (2025). Application of Big Data Analytics in Education Management: Enhancing Teaching
Quality and Resource Allocation Efficiency. International Journal of High Speed Electronics and Systems. https://doi.
org/10.1142/s0129156425406370
9. Zhou, J., Shen, W., & Chen, H. (2025). Integrating Machine Learning Algorithms into Educational Management to
Enhance Decision-Making Capabilities. Advances in Engineering Technology Research. https://doi.org/10.56028/
aetr.13.1.1626.2025
10. Jin, R., Peng, Y., Wang, Z., Wang, J., Tang, J., & Zhang, M. (2025). Data-Driven Educational Decision-Making: How
to Enhance Educational Quality and Management Efficiency. Journal of Higher Education Research. https://doi.
org/10.32629/jher.v5i6.3385
11. Barthakur, A., Marrone, R., Esnaashari, S., Kovanović, V., & Dawson, S. (2025). Advancing Holistic Decision-Making
Systems in Schools: Insights From Academic Research and Practical Applications. J. Comput. Assist. Learn.,
41. https://doi.org/10.1111/jcal.70021
12. Zeide, E. (2017). The Structural Consequences of Big Data-Driven Education. Big Data, 5, 164 - 172. https://doi.
org/10.1089/big.2016.0061
13. Hamoud, A., Hussein, M., Alhilfi, Z., & Sabr, R. (2021). Implementing data-driven decision support system based
on independent educational data mart. International Journal of Electrical and Computer Engineering, 11, 5301-
5314. https://doi.org/10.11591/ijece.v11i6.pp5301-5314
14. C., E., H., P., & T., F. (2025). The Influence of AI-Driven Marketing Analytics on Strategic Decision-Making in
Private Educational Institutes in Sri Lanka: Moderator Role of Organisational Culture. Asian Journal of Marketing
Management. https://doi.org/10.31357/ajmm.v4i2.7970
15. Mandinach, E., & Schildkamp, K. (2020). Misconceptions about data-based decision making in education: An
exploration of the literature. Studies in Educational Evaluation. https://doi.org/10.1016/j.stueduc.2020.100842
Загрузки
Опубликован
Как цитировать
Выпуск
Раздел
Лицензия
Copyright (c) 2026 ЗЕЛЁНАЯ ЭКОНОМИКА И РАЗВИТИЕ
Это произведение доступно по лицензии Creative Commons «Attribution» («Атрибуция») 4.0 Всемирная.