Web-dizayn texnologiyalari asosida bo‘lajak informatika va axborot texnologiyalari o‘qituvchilarining raqamli kompetentligini shakllantirish metodikasi
DOI:
https://doi.org/10.5281/zenodo.20715154Ключевые слова:
raqamli ta’lim, raqamli kompetentlik, web-dizayn, o‘quv-uslubiy ta’minot, elektron ta’lim resurslari, HTML, dizayn tamoyillari, WYSIWYG muharrirlar, raqamli didaktika, vizual loyihalash.Аннотация
Mazkur maqolada raqamli ta’limni rivojlantirish sharoitida web-dizayn texnologiyalari asosida bo‘lajak
informatika va axborot texnologiyalari o‘qituvchilarining raqamli kompetentligini shakllantirish metodikasi ishlab chiqilgan
va asoslangan. “Web-dizayn” fanining mazmuni va didaktik ta’minoti, jumladan HTML tili, MS Publisher hamda Adobe
Dreamweaver kabi vizual (WYSIWYG) muharrirlar, dizayn tamoyillari va veb-saytning axborot strukturasini loyihalash
masalalari raqamli ta’lim nazariyasi va metodikasi nuqtai nazaridan tahlil qilingan. Bundan tashqari, o‘zbek tilidagi raqamli
ta’lim resurslarining yetishmasligi, vizual muharrirlardan o‘quv jarayonida foydalanish hamda elektron ta’lim resurslarini
loyihalashga oid uslubiy yondashuvlar muhokama etilgan. Maqolada bo‘lajak o‘qituvchining raqamli kompetentligi tarkibiy
modeli, web-dizayn fanining o‘quv-uslubiy ta’minoti tuzilmasi va kompetentlikni shakllantirishning bosqichli metodikasi
taklif etilgan.
Библиографические ссылки
1. Abdubanapovich, Y. U. (2022). Development Of Professional Competence Of Prospective Specialists On Web Technologies.
Pedagogika, 49.
2. Eshbayevich, T. D., & Yuldashev, O. (2023). Raqamlashtirish sharoitida ta’lim sifatini oshirishga yo‘naltirilgan elektron
ta’lim resurslaridan foydalanish. Science and innovation, 2(Special Issue 5), 26–31.
3. Юлдашев, У. А., Худойбердиев, М. З., & Ахмедов, Т. Б. (2021). Ўқув жараёнининг сифатини оширишда замонавий
ахборот технологияларидан фойдаланиш. Academic research in educational sciences, 2(3), 1262–1268.
4. Yuldashev, U. (2022). Methodology for increasing the professional competence of a future teacher of information science.
Science and Innovation, 1(8), 343–346.
5. Yuldashev, U. A., Agathonov, A. A., & Butaboyev, A. A. (2023). Development of competences in the field of web design
for future information technology specialists. Евразийский журнал технологий и инноваций, 1(6 Part 2), 31–37.
6. Abdubanapovich, Y. U. (2023). Web dizaynni o‘qitishda sun’iy intellektdan foydalanib bo‘lajak informatika o‘quvchilarni
kompetentligini oshirish. Science and innovation, 2(Special Issue 3), 1027–1029.
7. Abdubanapovich, Y. U. Developing the competences of future IT teachers in the field of web design (Bo‘lajak informatika
o‘qituvchilarining web-dizayn sohasiga oid kompetentsiyalarini rivojlantirish). Pedagogika, 72.
8. Yuldashev, U. (2022). Informatika fani bo‘lajak o‘qituvchisining kasbiy kompetentligini oshirish metodikasi. Science and
innovation, 1(B8), 343–346.
9. Yuldashev, U., & Samatboyeva, M. (2022). Didactic systems in the teaching of computer science in the distance education
process. Science and Innovation, 1(3), 797–800.
10. Gürüler, H., İstanbullu, A., & Karahasan, M. (2010). A new student performance analysing system using knowledge
discovery in higher educational databases. Computers & Education, 55(1), 247–254. https://doi.org/10.1016/j.
compedu.2010.01.010
11. Gürüler, H., & İstanbullu, A. (2014). Modeling student performance in higher education using data mining. In A. Peña-
Ayala (Ed.), Educational Data Mining (Studies in Computational Intelligence, Vol. 524, pp. 105–124). Springer. https://
doi.org/10.1007/978-3-319-02738-8_4
12. Demirtaş, M., İstanbullu, A., & Altun, Y. (2013). Virtual laboratory for sliding mode and PID control of rotary inverted
pendulum. Computer Applications in Engineering Education, 21(4). https://doi.org/10.1002/cae.20484
13. Tasci, M., İstanbullu, A., Kosunalp, S., Iliev, T., Stoyanov, I., & Beloev, I. (2023). An efficient classification of rice variety
with quantized neural networks. Electronics, 12(10), 2285. https://doi.org/10.3390/electronics12102285
14. Tasci, M., İstanbullu, A., Kosunalp, S., Iliev, T., Stoyanov, I., & Beloev, I. (2025). FPGA-QNN: Quantized neural network
hardware acceleration on FPGAs. Applied Sciences, 15(2), 688. https://doi.org/10.3390/app15020688
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