OLIY TAʼLIM MUASSASALARINI STRATEGIK BOSHQARISHDA RAQAMLI TRANSFORMATSIYANING ZAMONAVIY YONDASHUVLARI: SUNʼIY INTELLEKT, BIG DATA, LEARNING ANALYTICS VA DATADRIVEN GOVERNANCE
DOI:
https://doi.org/10.5281/zenodo.21071742Ключевые слова:
raqamli transformatsiya, sun’iy intellekt, Big Data, Learning Analytics, Data-driven Governance, strategik boshqaruv, oliy ta’lim, O‘zbekiston, raqamlashtirish, ta’lim sifatiАннотация
Ushbu maqolada oliy ta’lim muassasalarini strategik boshqarishda raqamli transformatsiyaning zamonaviy
yondashuvlari — sun’iy intellekt (AI), Big Data, Learning Analytics va Data-driven Governancening roli, imkoniyatlari
hamda amaliy jihatlari kompleks tarzda tahlil qilinadi. Tadqiqot metodologiyasi qiyosiy tahlil, tizimli tahlil, kontent-tahlil
va xalqaro benchmarking usullarini o‘z ichiga oladi. Maqolada an’anaviy boshqaruv modellari bilan ma’lumotlarga asoslangan
boshqaruv tizimlari qiyosiy tahlil qilinib, AI, Big Data va Learning Analytics texnologiyalarining strategik afzalliklari
yoritilgan. Shuningdek, O‘zbekistonda amalga oshirilayotgan raqamli islohotlar hamda ularning oliy ta’lim tizimiga
ta’siri alohida ko‘rib chiqilgan. Maqola yakunida O‘zbekiston oliy ta’lim muassasalarida raqamli transformatsiyani samarali
amalga oshirish bo‘yicha ilmiy asoslangan tavsiyalar ishlab chiqilgan
Библиографические ссылки
Antonenko, P. D., & Toy, S. (2023). Learning analytics and educational data mining: A systematic review of research.
Journal of Research in Technology in Education, 55(2), 215–234. https://doi.org/10.1080/15391523.2022.2045834
Bates, T., Cobo, C., Mariño, O., & Wheeler, S. (2020). Can artificial intelligence transform higher education? International
Journal of Educational Technology in Higher Education, 17(1), 42. https://doi.org/10.1186/s41239-020-00218-x
Bianco, M., & Hartley, K. (2022). Data-driven governance in public administration: A systematic review. Government
Information Quarterly, 39(3), 101694. https://doi.org/10.1016/j.giq.2022.101694
Cope, B., & Kalantzis, M. (2021). Artificial intelligence for education: Knowledge and its assessment in AI-enabled
learning ecologies. Educational Philosophy and Theory, 53(12), 1229–1245. https://doi.org/10.1080/00131857.2020.
Davenport, T. H., & Bean, R. (2022). Competing on analytics: The new science of winning (2nd ed.). Harvard Business
Review Press.
Dede, C., Ho, A., & Mitros, P. (2021). Big data analysis in higher education: Promises and pitfalls. EDUCAUSE Review,
(3), 22–35.
Drucker, P. F. (2002). Managing in the next society. Truman Talley Books/St. Martin’s Press.
Ferguson, R. (2012). Learning analytics: Drivers, developments and challenges. International Journal of Technology
Enhanced Learning, 4(5–6), 304–317. https://doi.org/10.1504/IJTEL.2012.051816
Gasevic, D., Dawson, S., & Siemens, G. (2023). Learning analytics in theory and practice. Springer. https://doi.
org/10.1007/978-3-031-11845-6
Guri-Rosenblit, S. (2021). Digital technologies in higher education: Practices, promises and paradoxes. Open Praxis,
(1), 1–12. https://doi.org/10.5944/openpraxis.13.1.1200
Holmes, W., Bialik, M., & Fadel, C. (2023). Artificial intelligence in education: Promises and implications for teaching
and learning. Center for Curriculum Redesign.
Ifenthaler, D., & Yau, J. Y. K. (2020). Utilising learning analytics to support study success in higher education: A
systematic review. Educational Technology Research and Development, 68(4), 1961–1990. https://doi.org/10.1007/
s11423-020-09788-z
Kotler, P., & Armstrong, G. (2021). Principles of marketing (18th ed.). Pearson.
Kotler, P., & Keller, K. L. (2021). Marketing management (16th ed.). Pearson.
Manca, S., Caviglione, L., & Raffaghelli, J. E. (2021). Big data for learning analytics: Knowledge visualization in the era
of cognitive big data. Journal of Visual Languages and Computing, 3(1), 1–16.
OECD. (2022). Governance of digital government: From vision to implementation. OECD Publishing. https://doi.
org/10.1787/9789264268753-en
OECD. (2023). Education at a glance 2023: OECD indicators. OECD Publishing. https://doi.org/10.1787/e13bef63-en
Picciano, A. G. (2021). Developing an asynchronous online graduate program using the ADDIE model of instructional
design. Journal of Asynchronous Learning Networks, 15(3), 75–94.
Rahimov, M. (2024). Oʻzbekiston oliy taʼlim muassasalarida raqamli texnologiyalarni joriy etishning samaradorligi.
Taʼlim va innovatsiya, 6(2), 45–58.
Siemens, G., & Baker, R. S. J. d. (2023). Learning analytics and educational data mining: Towards communication
and collaboration. LAK ‘23: Proceedings of the 13th International Conference on Learning Analytics and Knowledge,
–254.
Tsai, Y. S., & Gasevic, D. (2022). Learning analytics in higher education—Challenges and policies: A review of eight
learning analytics policies. Proceedings of the 7th International Learning Analytics and Knowledge Conference
(LAK17), 233–242. https://doi.org/10.1145/3027385.3027400
UNESCO. (2021). AI and education: Guidance for policy-makers. UNESCO Publishing. https://unesdoc.unesco.org/
ark:/48223/pf0000376709
UNESCO. (2023). Recommendation on the ethics of artificial intelligence. UNESCO Publishing. https://unesdoc.
unesco.org/ark:/48223/pf0000381137
Williamson, B. (2022). Big data in education: The digital future of learning, policy and practice. Learning, Media and
Technology, 47(1), 4–18. https://doi.org/10.1080/17439884.2021.1965249
World Bank. (2022). Higher education for development: An evaluation of the World Bank Group’s support. World Bank
Group. https://doi.org/10.1596/978-1-4648-1802-0
Yusupov, N. (2023). Raqamli transformatsiya sharoitida Oʻzbekiston oliy taʼlim tizimining rivojlanish istiqbollari.
Oʻzbekiston Milliy Universiteti Axboroti, 2(1), 112–121.
Oʻzbekiston Respublikasi Prezidentining 2020-yil 5-oktabrdagi «Raqamli Oʻzbekiston — 2030» strategiyasini tasdiqlash
toʻgʻrisida PF-6079-son Farmoni. https://lex.uz/docs/5031048
Oʻzbekiston Respublikasi Prezidentining 2022-yil 28-yanvardagi «Oliy taʼlim sohasini 2030-yilgacha rivojlantirish
konsepsiyasini tasdiqlash toʻgʻrisida» PF-60-son Farmoni. https://lex.uz/docs/5881007
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2023). 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), 39. https://doi.org/10.1186/s41239-019-0171-0
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