DEVELOPING A SECURE AI-BASED EXAMINATION PLATFORM: AN EMPIRICAL ANALYSIS OF SECURITY MECHANISMS AND ACADEMIC INTEGRITY
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Keywords

Sun’iy intellektga asoslangan imtihon, akademik yaxlitlik, biometrik autentifikatsiya, sun'iy intellektni nazorat qilish, ma’lumotlarni shifrlash, PLS-SEM, oliy ta’lim xavfsizligi.

Abstract

Oliy ta’limda sun’iy intellektga asoslangan imtihon platformalarining ko‘payishi akademik yaxlitlikka tahdid soluvchi jiddiy xavfsizlik muammolarini keltirib chiqardi. Ushbu maqolada miqdoriy tadqiqot dizaynidan foydalangan holda sun’iy intellektga asoslangan baholash tizimlari uchun xavfsizlik mexanizmlarini empirik ravishda baholaydi. Ma’lumotlar 7 ta umumiy-o‘rta ta’lim muassasasidagi 234 akademik ma’mur, o‘qituvchilar va IT xavfsizligi mutaxassislaridan to‘plangan. Biometrik autentifikatsiya, sun’iy intellektni nazorat qilish mexanizmlari, ma’lumotlarni shifrlash protokollari va platforma xavfsizligi samaradorligi o‘rtasidagi munosabatlarni o‘rganish uchun qisman eng kichik kvadratlar strukturaviy tenglama modellashtirish (PLS-SEM) qo‘llanildi. Natijalar shuni ko‘rsatadiki, biometrik autentifikatsiya (beta = 0.456, p < 0.001) va sun’iy intellektni nazorat qilish tizimlari (beta = 0.389, p < 0.001) imtihon xavfsizligini sezilarli darajada oshiradi. Ma'lumotlarni shifrlash ma'lumotlar yaxlitligiga ijobiy ta’sir ko‘rsatadi (beta = 0.312, p < 0.01). Integratsiyalashgan xavfsizlik tizimi an’anaviy imtihon usullariga nisbatan akademik yaxlitlik buzilishini 34,2% ga kamaytiradi. Ushbu tadqiqot xavfsizlik talablarini talabalarning shaxsiy hayoti va kirish imkoniyati bilan muvozanatlashtiradigan xavfsiz sun’iy intellektga asoslangan imtihon platformalarini ishlab chiqish bo‘yicha dalillarga asoslangan ko‘rsatmalar berdi.

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References

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