Using “Deep Learning School” with Digital Technologies in Science and Technology
Aislu T. Kurbanova 1 * , Yuri N. Yarovikov 2
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1 Institute of Psychology and Education, Kazan Federal University, 420008, Kremlevskaya 18, Kazan, RUSSIA
2 Phystech School of Applied Mathematics and Informatics, Moscow Institute of Physics and Technology, 141701, Dolgoprudny (Moscow region, Russia), RUSSIA
* Corresponding Author

Abstract

A digital technology of education and career guidance was created within the open free resource “Deep Learning School” (DLS). Тhe mission of DLS is recruiting and education of talented youth in the field of IT research and development. DLS technology assumes the possibility of online training; in the absence of pandemic-related restrictions, a mixed format is available. The principles of DLS as an educational technology and a technology for professional self-determination of various contingents of young people are described. Empirical material - the results of an anonymous online survey of 145 DLS listeners - specialists, undergraduate and graduate students, applicants. A qualitative analysis of open-ended questions revealed the functions of DLS, which concretize its mission as an educational technology and a technology of professional self-determination. The possibilities of online and offline components of the technology are concretized to achieve actually didactic, educational goals, goals of socialization and facilitation of professional self-determination; revealed the specificity of their use by various contingents of students. The high efficiency of the technology for recruiting talented young people with high motivation to get education and work in the field of machine intelligence is shown. The research results can be used by specialists to improve the efficiency of digital educational resources and improve the practice of career management.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.29333/ejmste/11179

EURASIA J Math Sci Tech Ed, 2021 - Volume 17 Issue 10, Article No: em2014

Publication date: 24 Aug 2021

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