DAVLAT KORXONALARIDA ESG STANDARTLARI ASOSIDA KORPORATIV BOSHQARUV TIZIMINI TAKOMILLASHTIRISH

DAVLAT KORXONALARIDA ESG STANDARTLARI ASOSIDA KORPORATIV BOSHQARUV TIZIMINI TAKOMILLASHTIRISH

Authors

  • Narbayev Sharafatdin Kengeshovich Toshkent menejment va iqtisodiyot instituti “Iqtisodiyot” kafedrasi PhD dotsent
  • Abduqayumov Abdumannon Abdulboriy o‘g‘li Toshkent menejment va iqtisodiyot instituti 2-kurs magistranti

Keywords:

Industry 4.0, muhandislik ta'limi, raqamli texnologiyalar, sun'iy intellekt, innovatsion ta'lim texnologiyalari, amaliy ko'nikmalar, kompetensiyaviy yondashuv, raqamli kompetensiyalar, ishlab chiqarish va ta'lim integratsiyasi, loyiha asosidagi o'qitish.

Abstract

This article analyzes the issues of organizing engineering education based on the requirements of Industry 4.0. The need for modernization of engineering education in the conditions of the fourth stage of modern industrial development (Industry 4.0), its current tasks and prospects are considered. The article covers the issues of introducing digital technologies, artificial intelligence, IoT, big data and other innovative approaches into the engineering education system. It also provides recommendations on the development of practical skills, creative thinking and digital competencies in the training of specialists in the field of engineering. The issues of introducing innovative pedagogical technologies into the educational process, strengthening cooperation with manufacturing enterprises and using international experience are also discussed.

References

Richert, A., et al. (2016). Digital transformation and gamification in engineering education.

Application of Industry 4.0 Trends in the Teaching Process. (2022).

Features of Implementing the Competency-Based Approach to Teaching Engineering Students in the Context of Industry 4.0. (2022).

Bühler, P., et al. (2022). Integrating soft skills in engineering for Industry 4.0.

Namasivayam, S., et al. (2023). CDIO-based outcome-oriented engineering education.

Salinas-Navarro, D., et al. (2023). Digitally enabled experiential learning spaces.

Malhaire, F., & Fougères, A. J. (2023). Project-based learning in automotive engineering.

Guevara, S. R., et al. (2022). AI and machine learning for engineering applications.

Carrero, M. P., et al. (2023). IoT integration in smart manufacturing education.

Centea, D., et al. (2018). Learning factories: A bridge between academia and industry.

Ferreira, D., et al. (2022). Continuous feedback systems in engineering curricula.

Coelho, J., et al. (2024). Agile and challenge-based learning for engineering education.

Digital Literacy and Engineering Education. (2022).

Downloads

Published

2026-05-21

How to Cite

Narbayev Sharafatdin Kengeshovich, & Abduqayumov Abdumannon Abdulboriy o‘g‘li. (2026). DAVLAT KORXONALARIDA ESG STANDARTLARI ASOSIDA KORPORATIV BOSHQARUV TIZIMINI TAKOMILLASHTIRISH. MANAGEMENT AND ECONOMICS SCIENTIFIC RESEARCH JOURNAL, 3(2), 126–131. Retrieved from https://journals.timeedu.uz/index.php/mesr/article/view/123

Issue

Section

Articles
Loading...