RAQAMLI TA’LIM PLATFORMALARIDA TALABALAR FAOLIYATINI TAHLIL QILISH ORQALI INDIVIDUAL O‘QUV MARSHRUTLARINI SHAKLLANTIRISH
Kalit so‘zlar:
raqamli ta’lim platformasi, Learning Analytics, individual o‘quv marshruti, raqamli iz, LMS, shaxsiylashtirilgan ta’lim, pedagogik diagnostika, adaptiv ta’lim.Abstrak
Maqolada raqamli ta’lim platformalarida shakllanadigan talabalar faoliyati
ma’lumotlarini Learning Analytics yondashuvi asosida tahlil qilish hamda individual
o‘quv marshrutlarini loyihalashning metodik mexanizmlari yoritilgan. Tadqiqot
muammosi an’anaviy o‘quv jarayonida talabaning faolligi, mustaqil ta’lim sifati,
topshiriqlarni bajarish sur’ati va kasbiy kompetensiyalar dinamikasini real vaqt
rejimida kuzatish imkoniyatlarining yetarli emasligi bilan belgilanadi. Maqolaning
maqsadi LMS, elektron portfolio, avtomatlashtirilgan test, forum, topshiriq va raqamli
baholash modullaridan olinadigan ma’lumotlar asosida talabaning individual
ehtiyojlarini aniqlash, unga mos o‘quv marshrutini tanlash va qayta moslashtirish
metodikasini asoslashdan iborat. Metodologik asos sifatida tizimli tahlil, pedagogik
diagnostika, raqamli izlar tahlili, kompetensiyaviy va shaxsiylashtirilgan ta’lim
yondashuvlari qo‘llanilgan. Natijada diagnostik, adaptiv, refleksiv va prognostik
bosqichlardan iborat individual o‘quv marshrutini shakllantirish modeli taklif etilgan.
Библиографические ссылки
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learning-analytics.
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Learning // Education Sciences. – 2024. – Vol. 14, № 1. – Article 51. – DOI: 10.3390/educsci14010051. – URL:
https://doi.org/10.3390/educsci14010051.
4. The Handbook of Learning Analytics / ed. by C. Lang, G. Siemens, A. F. Wise, D. Gašević, A. Merceron. – 2nd ed. –
Society for Learning Analytics Research, 2022. – DOI: 10.18608/hla22. – URL: https://doi.org/10.18608/hla22.
5. OECD. OECD Digital Education Outlook 2023: Towards an Effective Digital Education Ecosystem. – OECD
Publishing, 2023. – URL: https://www.oecd.org/en/publications/oecd-digital-education-outlook-2023_c74f03de-en.html.
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Interventions on Learning Management Systems // Journal of Learning Analytics. – 2024. – Vol. 11, № 2. – DOI:
10.18608/jla.2023.8093. – URL: https://doi.org/10.18608/jla.2023.8093.
7. Roberts L. D., Howell J. A., Seaman K. Give Me a Customizable Dashboard: Personalized Learning Analytics
Dashboards in Higher Education // Technology, Knowledge and Learning. – 2017. – Vol. 22. – P. 317–333. – DOI:
10.1007/s10758-017-9316-1. – URL: https://doi.org/10.1007/s10758-017-9316-1.
8. UNESCO. AI Competency Framework for Teachers. – Paris: United Nations Educational, Scientific and Cultural
Organization, 2024. – URL: https://www.unesco.org/en/articles/ai-competency-framework-teachers.
9. Wise A. F., Jung Y. Teaching with Analytics: Towards a Situated Model of Instructional Decision-Making // Journal
of Learning Analytics. – 2019. – Vol. 6, № 2. – P. 53–69. – DOI: 10.18608/jla.2019.62.4. – URL: