Abstract
Mazkur maqolada “Algoritmik tillar va dasturlash” fanini o‘qitishda turli ta’lim metodlarining samaradorligini ko‘p qatlamli neyron tarmoq modeli asosida oldindan bashorat qilish masalasi ko‘rib chiqilgan. O‘quv jarayonida shakllanadigan ta’limiy ma’lumotlar (boshlang‘ich diagnostika natijalari, amaliy topshiriqlarni bajarish ko‘rsatkichlari, dasturiy xatolar tahlili, oraliq nazorat natijalari hamda qo‘llanilgan o‘qitish metodlari) talabaning o‘zlashtirish darajasini ifodalovchi ko‘p o‘lchovli xususiyatlar fazosi sifatida qaraldi. Ushbu ma’lumotlar asosida o‘qitilgan ko‘p qatlamli neyron tarmoq modeli yordamida qaysi o‘qitish metodlari o‘zlashtirish ehtimolini oshirishi mumkinligi aniqlanadi. Tadqiqot natijasida o‘qitish metodlarini ilmiy asosda tanlash, o‘quv jarayonini individuallashtirish hamda ta’lim samaradorligini oshirish imkonini beruvchi bashorat qilish modeli taklif etildi.
References
1. Haykin S. Neural Networks and Learning Machines. - 3rd ed. - New York: Pearson Education, 2009. - 936 p.
2. Goodfellow I., Bengio Y., Courville A. Deep Learning. - Cambridge: MIT Press, 2016. - 775 p.
3. Bishop C. M. Pattern Recognition and Machine Learning. - New York: Springer, 2006. - 738 p.
4. Rumelhart D. E., Hinton G. E., Williams R. J. Learning representations by back-propagating errors // Nature. - 1986. - Vol. 323. - pp. 533–536.
5. Rosenblatt F. The Perceptron: A probabilistic model for information storage and organization in the brain // Psychological Review. - 1958. - Vol. 65(6). - pp. 386–408.
6. Hornik K., Stinchcombe M., White H. Multilayer feedforward networks are universal approximators // Neural Networks. - 1989. - Vol. 2(5). - pp. 359–366.
7. Mitchell T. Machine Learning. - New York: McGraw-Hill, 1997. - 432 p.
8. Bishop J. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. - London: Routledge, 2018.
9. Anderson L. W., Krathwohl D. R. A Taxonomy for Learning, Teaching, and Assessing. - New York: Longman, 2001.
10. Biggs J., Tang C. Teaching for Quality Learning at University. - 4th ed. - Open University Press, 2011.
11. Prince M. Does Active Learning Work? A Review of the Research // Journal of Engineering Education. - 2004. - Vol. 93(3). - pp. 223–231.
12. Freeman S. et al. Active learning increases student performance in science, engineering, and mathematics // Proceedings of the National Academy of Sciences. - 2014. - Vol. 111(23). - pp. 8410–8415.
13. Tuxtaboyev, SX “Elektron ta'limni tashkil etishda virtual texnologiyalarni o 'rni va ahamiyati.” zamonaviy ta'limda raqamli texnologiyalardan foydalanish istiqbollari 1.1 (2024): 210-213.
14. Xasanboy o'g'li, To'xtaboyev Sarvarbek. “Raqamli ta'lim muhitida ta'lim jarayonini veb-saytlar yordamida tashkil etish.” Fan va ta'lim sohasidagi yutuqlar 1.04 (2025): 23-24.
This work is licensed under a Creative Commons Attribution 4.0 International License.