Cross-cutting technologies in education

Keywords: end-to-end technologies, big data, professional education, digital economy, artificial intelligence, electronic technologies.

Abstract

Purpose of the article: analysis of the experience of implementing end-to-end technologies in vocational education. Methodology: the article presents a study aimed at identifying the role of end-to-end technologies in the professional training of students. For this, a survey was conducted among students on the use of end-to-end technologies in the educational process in three age categories (junior, middle, senior). Students had to assess the importance of end-to-end technologies for the implementation of the educational process on a scale from 1 to 4. Results: Students note the significant role of end-to-end technologies in professional activities. This is a promising direction for the development of vocational education.

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Author Biographies

Olga I. Vaganova, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russia.

Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russia.

Julia M. Tsarapkina, Russian State Agrarian University - Moscow Timiryazev Agricultural Academy, Moscow, Russia.

Russian State Agrarian University - Moscow Timiryazev Agricultural Academy, Moscow, Russia.

Marina R. Zheltukhina, Volgograd State Socio-Pedagogical University, Volgograd, Russia.

Volgograd State Socio-Pedagogical University, Volgograd, Russia.

Elena G. Knyazeva, Department of English Language Military University of the Ministry of Defense of the Russian Federation, Moscow, Russia.

Department of English Language Military University of the Ministry of Defense of the Russian Federation, Moscow, Russia.

Julia S. Krasilnikova, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russia.

Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russia.

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Published
2021-12-17
How to Cite
Vaganova, O. I., Tsarapkina, J. M., Zheltukhina, M. R., Knyazeva, E. G., & Krasilnikova, J. S. (2021). Cross-cutting technologies in education. Amazonia Investiga, 10(47), 27-34. https://doi.org/10.34069/AI/2021.47.11.3
Section
Articles