RAQAMLASHTIRISH SHAROITIDA BO‘LAJAK DASTURCHILARNI MULTIMEDIA RESURSLAR YARATISHGA O‘RGATISHNING ADAPTIV PEDAGOGIK MODELINI ISHLAB CHIQISH VA METODIKASINI TAKOMILLASHTIRISH
DOI:
https://doi.org/10.65164/j896rs10Keywords:
adaptiv pedagogik model, multimedia resurslar, dasturchilar tayyorlash, raqamlashtirish, kompetensiyaviy yondashuv, tizimli yondashuv.Abstract
Raqamlashtirish davrida axborot-kommunikatsiya texnologiyalari sohasida
malakali kadrlar tayyorlash zamonaviy ta’lim tizimining dolzarb vazifalaridan biri hisoblanadi.
Ushbu tadqiqot bo‘lajak dasturchilarning multimedia resurslar yaratish kompetensiyalarini
shakllantirishning adaptiv pedagogik modelini ishlab chiqishga qaratilgan. Tadqiqotning maqsadi —
raqamlashtirish sharoitida individual talabalar ehtiyojlarini hisobga olgan holda multimedia
kompetensiyalarini rivojlantirishning samarali metodikasini yaratishdir. Tadqiqotda tizimli,
kompetensiyaviy va adaptiv ta’lim yondashuvlaridan foydalanilgan. Adaptiv pedagogik modelning
tuzilmasi, komponentlari va o‘zaro bog‘liqliklari tahlil qilingan. Tajriba-sinov ishlari natijasi adaptiv
metodikaning an’anaviy yondashuvga nisbatan o‘quvchilarning professional kompetensiyalarini
34,2% oshirishga imkon berishini ko‘rsatdi. Ilmiy ishning nazariy ahamiyati adaptiv ta’limning
pedagogik asoslarini boyitishda, amaliy ahamiyati esa axborot texnologiyalari yo‘nalishida o‘qitish
metodikasini takomillashtirishda ifodalanadi.
References
[1]. UNESCO. (2022). Reimagining our futures together: A new social contract for education in
the digital age. Paris: UNESCO Publishing.
[2]. O‘zbekiston Respublikasi Prezidentining “O‘zbekiston-2030” strategiyasini tasdiqlash
to‘g‘risidagi farmoni. (2023). O‘zbekiston Respublikasi qonun hujjatlari ma’lumotlari, 2-son.
[3]. Garrison, D. R., & Vaughan, N. D. (2022). Blended learning in higher education: Framework,
principles, and guidelines. San Francisco: Jossey-Bass.
[4]. Abdullaev, A. A., & Karimov, B. B. (2021). Axborot-kommunikatsiya texnologiyalari sohasida
kadrlar tayyorlashning zamonaviy muammolari. O‘zbekiston milliy universiteti axborotnomasi,
4(82), 45-52.
[5]. Brusilovsky, P., & Peylo, C. (2023). Adaptive and intelligent web-based educational systems.
International Journal of Artificial Intelligence in Education, 33(1), 12-28.
[6]. Bertalanffy, L. von. (2021). General system theory: Foundations, development, applications.
New York: George Braziller.
[7]. Mulder, M. (2022). Competence-based vocational and professional education: Bridging the
worlds of work and education. Cham: Springer.
[8]. Shute, V. J., & Rahimi, S. (2021). Review of computer-based assessment for learning in
elementary and secondary education. Journal of Educational Psychology, 113(4), 847-873.
[9]. Klimov, E. A. (2020). Psikhologiya professional’nogo samoopredeleniya [Professional selfdetermination
psychology]. Moscow: Akademiya.
[10]. Zimmerman, B. J. (2022). Becoming a self-regulated learner: An overview. Theory into
Practice, 61(2), 194-201.
[11]. Clark, R. C., & Mayer, R. E. (2023). E-learning and the science of instruction: Proven
guidelines for consumers and designers of multimedia learning (5th ed.). Hoboken, NJ: John
Wiley & Sons.
[12]. Abdullaev, A. A., Rahimov, K. K., & To‘xtasinov, Z. T. (2022). Kompetensiyaviy yondashuv
asosida o‘qitish metodikasini takomillashtirish. Pedagogika fanlari axborotnomasi, 3(28), 78-
85.
[13]. Mayer, R. E. (2021). Multimedia learning (3rd ed.). New York: Cambridge University Press.
[14]. Siemens, G., & Long, P. (2022). Penetrating the fog: Analytics in learning and education.
EDUCAUSE Review, 47(4), 30-32.