DASTURLASHNI O‘QITISHDA 5 DARAJALI (L1–L5) ADAPTIV BAHOLASH MODELINING DIDAKTIK IMKONIYATLARI

Authors
  • Xurshidbek Komiljon o‘g‘li Xamrayev

    Author
Keywords:
adaptiv baholash, L1–L5 model, vazifa murakkabligi, o‘quv-bilish kompetentligi, individual sur’at, dinamik test, didaktik imkoniyatlar, dasturlashni o‘qitish.
Abstract

Mazkur maqolada dasturlashni o‘qitishda talabaning joriy o‘quv-bilish kompetentligi (Lc) ko‘rsatkichiga qarab vazifa murakkabligini avtomatik moslashtiruvchi 5 darajali (L1–L5) adaptiv baholash modelining didaktik imkoniyatlari asoslangan. Model har bir bosqichda talabani joriy darajasiga mos vazifalar bilan ta’minlab, keyingi darajaga o‘tish yoki mustahkamlash vazifalari bilan ishlash qoidasiga ega. Adaptiv baholash bo‘yicha tizimli sharhlar tahlili modelning ortiqcha qiyinlik (frustratsiya) va yetarsiz qiyinlik (zerikish) ni kamaytirishi, talabaning individual sur’atini hisobga olishini ko‘rsatdi. Cheklov sifatida daraja chegaralarini kalibrovka qilish va “sovuq start” muammosi qayd etilgan.

References

1. A Systematic Review on Assessment in Adaptive Learning: Theories, Algorithms and Techniques. (2024). International Journal of Advanced Computer Science and Applications (IJACSA), 15(7).

2. Anderson, L. W., & Krathwohl, D. R. (2001). A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives. New York: Longman.

Xamrayev X. K., Xamrayeva D. V., Zokirjonov L. M. QURILISH VA LOYIHALASH YO ‘NALISHLARIDA MUSTAQIL TA’LIMNI TASHKIL ETISHDA SUN’IY INTELLEKT TEXNOLOGIYALARDAN FOYDALANISHNI YO ‘LGA QO ‘YISH //Строительство и образование. – 2023. – Т. 4. – №. 5-6. – С. 124-128.

3. Keuning, H., Jeuring, J., & Heeren, B. (2018). A Systematic Literature Review of Automated Feedback Generation for Programming Exercises. ACM Transactions on Computing Education, 19(1), 1–43. https://doi.org/10.1145/3231711

4. Messer, M., Brown, N. C. C., Kölling, M., & Shi, M. (2024). Automated Grading and Feedback Tools for Programming Education: A Systematic Review. ACM Transactions on Computing Education, 24(1), 1–43. https://doi.org/10.1145/3636515

5. Improving students’ testing skill through mutation testing with modified feedback and training. (2026). Computer Science Education. https://doi.org/10.1080/08993408.2026.2671830

X.K.Xamrayev, D.V.Xamrayeva, & L.M.Zokirjonov (2023). QURILISH VA LOYIHALASH YO‘NALISHLARIDA MUSTAQIL TA’LIMNI TASHKIL ETISHDA SUN’IY INTELLEKT TEXNOLOGIYALARDAN FOYDALANISHNI YO‘LGA QO‘YISH. Строительство и образование, 4 (5-6), 124-128.

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Published
2026-06-08
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Articles