SUN’IY INTELLEKT ASOSIDA O‘ZBEKISTON OLIY TA’LIM MUASSASALARIDA MARKETING FAOLIYATINI MODELLASHTIRISH VA BOSHQARISH MEXANIZMLARI
DOI:
https://doi.org/10.5281/zenodo.17847884Keywords:
sun’iy intellekt, oliy ta’lim, marketing, mashinani o‘rganish, neyron tarmoqlar, tabiiy tilni qayta ishlash, kompyuter tasviri, talabalar segmentatsiyasi, raqamli transformatsiya, personalizatsiyaAbstract
Maqolada sun’iy intellekt texnologiyalarining O‘zbekiston oliy ta’lim muassasalarida marketing faoliyatini
modellashtirish va boshqarishdagi o‘rni tahlil qilingan. Tadqiqot IMRAD metodologiyasi asosida olib borilib, xalqaro
tajribalar bilan solishtirma yondashuv qo‘llanilgan. Mashinani o‘rganish, neyron tarmoqlar, tabiiy tilni qayta ishlash
va kompyuter tasviri texnologiyalari talabalarning individual o‘quv yo‘llarini shakllantirish, marketing strategiyalarini
optimallashtirish va virtual o‘quv muhitini rivojlantirishda samarali vosita sifatida baholangan. Natijalar AI texnologiyalari
ta’lim sifati va talabalarni jalb qilish samaradorligini oshirishi mumkinligini ko‘rsatadi
References
1. Luckin, Rose, and Wayne Holmes. “Intelligence unleashed: An argument for AI in education.” (2016).
2. Baker, Ryan, and George Siemens. “Learning analytics and educational data mining.” Cambridge handbook of the
leaning sciences (2014): 253-272.
3. Chen, Wei, et al. “AI assisted PHY in future wireless systems: Recent developments and challenges.” China
Communications 18.5 (2021): 285-297.
4. Holmes, Wayne, Maya Bialik, and Charles Fadel. Artificial intelligence in education promises and implications for
teaching and learning. Center for Curriculum Redesign, 2019.
5. Floridi, Luciano, et al. “AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and
recommendations.” Minds and machines 28.4 (2018): 689-707.
6. Zawacki-Richter, Olaf, et al. “Systematic review of research on artificial intelligence applications in higher education–
where are the educators?.” International journal of educational technology in higher education 16.1 (2019): 1-27.
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