RAQAMLI IQTISODIYOT SHAROITIDA BILIM VA MALAKALARNI RAQAMLI BAHOLASH TIZIMINING NAZARIY-IQTISODIY ASOSLARI
DOI:
https://doi.org/10.5281/zenodo.21972176Abstract
Ushbu maqolada raqamli iqtisodiyot sharoitida bilim va malakalarni baholash tizimining
nazariy-iqtisodiy asoslari tadqiq etilib, uning samaradorligini kompleks baholashga qaratilgan DASM–Skills
(Digital Assessment System Maturity for Skills) konseptual modeli ishlab chiqilgan. Tadqiqotda raqamli baholash
vositalari an’anaviy jarayonlarning elektron ko‘rinishi sifatida emas, balki inson kapitalini rivojlantirish, mehnat bozori
ehtiyojlariga mos kompetensiyalarni aniqlash, ta’lim sifatini yaxshilash va iqtisodiy samaradorlikni oshirishga xizmat
qiluvchi strategik boshqaruv mexanizmi sifatida talqin etiladi.
Tadqiqot doirasida tizim samaradorligini belgilovchi raqamli infratuzilma, sun’iy intellekt, Data Mining,
kompetensiyaviy yondashuv, kiberxavfsizlik va institutsional integratsiya kabi omillar tizimli ravishda tahlil qilingan.
Tizimli, institutsional va iqtisodiy yondashuvlarga asoslangan holda, raqamli baholashning texnologik va tashkiliy
komponentlari o‘zaro bog‘liqlikda o‘rganilgan.
Tadqiqot natijalari raqamli baholash samaradorligi texnologik imkoniyatlardan samarali foydalanish bilan bir
qatorda, baholash mezonlarining shaffofligi, ma’lumotlarning ishonchliligi, jarayonlarning aniqligi va institutsional
mexanizmlarning rivojlanganlik darajasi bilan ham chambarchas bog‘liqligini ko‘rsatdi. Maqolaning ilmiy yangiligi
sifatida taklif etilgan DASM–Skills modeli baholash tizimining rivojlanish darajasini aniqlash, boshqaruv qarorlarini
ilmiy asoslash, baholash sifatini oshirish hamda inson kapitalining raqobatbardoshligini mustahkamlashga xizmat
qiluvchi amaliy vosita sifatida shakllantirilgan
Keywords
raqamli iqtisodiyot, bilim va malakalarni baholash, raqamli baholash tizimi, DASM–Skills, raqamli kompetensiyalar, inson kapitali, kompetensiyaga asoslangan baholash, baholashning iqtisodiy samaradorligi, raqamli infratuzilma, sun’iy intellekt, katta ma’lumotlar (Big Data), adaptiv baholash, ma’lumotlarga asoslangan boshqaruv, institutsional rivojlanish, raqamli sertifikatlash, baholash sifati, strategik boshqaruv.References
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