Kompetentligini baholash mezonlari va indikatorlarini ishlab chiqish

Авторы

  • Oybek Kayumov Автор

DOI:

https://doi.org/10.5281/zenodo.19430317

Ключевые слова:

web-loyihalash kompetentligi, kompetentlikka asoslangan baholash, baholash mezonlari, baholash indikatorlari, data-driven yondashuv, learning analytics, raqamli ta’lim, amaliy ko‘nikmalar, loyiha asosida baholash, vaznli matematik model.

Аннотация

Mazkur maqolada web-loyihalash kompetentligini baholash mezonlari va indikatorlarini ishlab chiqishning
nazariy hamda amaliy jihatlari tadqiq etilgan. Zamonaviy raqamli ta’lim muhitida talabalar kompetentligini aniq va kompleks
baholash zarurati ortib borayotganligi sababli, tadqiqot kompetentlikka asoslangan va data-driven yondashuvlar
integratsiyasi asosida tashkil etildi. Tadqiqot doirasida web-loyihalash kompetentligining kognitiv, operatsion-amaliy,
kreativ va refleksiv komponentlari aniqlanib, ular asosida baholash mezonlari hamda indikatorlar tizimi ishlab chiqildi.
Ushbu tizim talabaning nazariy bilimlari bilan bir qatorda amaliy faoliyati, loyiha ishlari sifati, dizayn yondashuvi, xatolarni
aniqlash va tuzatish qobiliyati hamda mustaqil ishlash darajasini kompleks baholash imkonini beradi.Shuningdek, baholash
jarayonini obyektivlashtirish maqsadida vaznli matematik model taklif etilib, u orqali talabalar kompetentligini integrallashgan
holda aniqlash imkoniyati yaratildi.Pedagogik eksperiment natijalari ishlab chiqilgan modelning samaradorligini
tasdiqlab, tajriba guruhida nazorat guruhiga nisbatan bilim darajasi, amaliy ko‘nikmalar va loyiha sifati bo‘yicha sezilarli
ijobiy o‘zgarishlar kuzatilganini ko‘rsatdi. Olingan natijalar baholash jarayonining aniqligi va obyektivligi oshganini,
shuningdek, har bir talabaning individual rivojlanish trayektoriyasini aniqlash imkoniyati kengayganini tasdiqlaydi. Mazkur
yondashuv web-loyihalash kompetentligini baholash tizimini takomillashtirish, ta’lim sifatini oshirish va talabalarni kasbiy
faoliyatga samarali tayyorlashda muhim ilmiy-amaliy ahamiyatga ega

Биография автора

  • Oybek Kayumov

    Mirzo Ulugʻbek nomidagi Oʻzbekiston milliy universiteti
    Jizzax filiali p. f. f. d., dots

Библиографические ссылки

1. Ifenthaler D., Yau J. Y. K. (2023). Utilizing learning analytics for enhancing student learning. Educational Technology

& Society, 26(1), 1-15.

2. Viberg O., Hatakka M., Bälter O., Mavroudi A. (2022). The current landscape of learning analytics in higher education.

Computers in Human Behavior, 127, 107125. https://doi.org/10.1016/j.chb.2021.107125

3. Khalil M., Ebner M. (2022). Learning analytics: Principles and constraints. Computers in Human Behavior Reports, 5,

100144.

4. Gašević D., Dawson S., Siemens G. (2020). Learning analytics are about learning. TechTrends, 64(6), 743-750.

5. Zawacki-Richter O., Marín V. I., Bond M., Gouverneur F. (2020). Artificial intelligence in higher education: A systematic

review. International Journal of Educational Technology in Higher Education, 17(1), 39

6. Bond M., Bedenlier S., Marín V. I., Händel M. (2021). Digital transformation in higher education. Computers in Human

Behavior, 119, 106711.

7. Pozilova S. K., Mirsalieva M. T., Kayumov O. A. Development of professional creativity of teachers in professional

courses on the basis of e-pedagogy principles. Pages 66-71. dl.acm.org/doi/proceedings/10.1145/

8. Kayumova N. R. Development of a methodological model and technological solutions for the software architecture of

an inclusive and flexible learning platform. International Journal of Pedagogics, 2025-04-17, 116-121.

9. Kayumova N. R. Developing a functional model for effective education based on adaptive content, personalization,

inclusive interface, and feedback mechanisms. European International Journal of Pedagogics, 2025-04-17, 62-67.

10. Kayumov O. A., Kayumova N. R. Development of a sign language recognition model for Uzbek words using deep

learning methods. International Multidisciplinary Journal for Research & Development, 2024-06-06.

11. Kayumov O. A., Kayumova N. R. Uzbek sign language classifier based on machine learning. European International

Journal of Multidisciplinary Research and Management Studies, 2024-05-31, 269-280.

12. Kayumov O. A. Methodological basis of modeling the process of creating interactive intellectual electronic resources.

Mental Enlightenment Scientific Methodological Journal, 2022-06-29, 176-187.

Опубликован

2026-04-02

Как цитировать

Kompetentligini baholash mezonlari va indikatorlarini ishlab chiqish. (2026). MAKTABGACHA VA MAKTAB TA’LIMI JURNALI, 4(4). https://doi.org/10.5281/zenodo.19430317