HEMIS BIG DATA MA'LUMOTLARI ASOSIDA O'ZBEKISTONDA TA'LIM YO'NALISHLARI BO'YICHA KADRLAR TAYYORLASH TENDENSIYASI: TA'LIM SHAKLLARINING TARKIBIY DEKOMPOZITSIYASI VA SIMPSON PARADOKSI (2023–2026)

O‘zbekov Shahzod Qurbonmurot o‘g‘li

Innores · 2026-yil

Annotatsiya

This article analyzes workforce training trends in Uzbekistan during2023–2026 based on HEMIS Big Data (nearly 2 million records) across educationalInnoRes Journal – Vol.2 No.5 (2026) www.innores.uz217fields, education forms (full-time, part-time, evening, distance), STEM/Non-STEMcomposition, bachelor's/master's levels, regions, and gender. Simpson's paradox(aggregation paradox) was identified: pedagogy (–26%), engineering (–26%), and IT(–11%) appear to decline overall, but show growth in full-time education by +45%,+10%, and +11% respectively. The decline is solely due to systemic restriction ofpart-time education (–84%). Demographic-pedagogical disproportion analysisprojects an annual teacher shortage of 16,000. Findings are substantiated withinHanushek and Woessmann's human capital quality theory, Lewis's structural changemodel, and Simpson's statistical paradox.

Maqola ma’lumotlari
MualliflarO‘zbekov Shahzod Qurbonmurot o‘g‘li
JurnalInnores
Nashr sanasi2026-05-30
Jild2
Son5
Betlar216-228
TilIngliz

Kalit so‘zlar

Big Data, HEMIS, Simpson's paradox, education forms, full-time education, part-time education, STEM, workforce training, teacher shortage, demographic forecast, gender segregation, human capital.

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