Assessment of the Need for Students to Learn Neural Networks: Training Specialists for the Modern Labor Market
The article analyzes the need for students to learn how to work with neural networks based on a comparative analysis of the Russian and American labor markets. For a detailed consideration of the problem, a sociological survey was conducted among 148 students of the Omsk branch of the Financial University under the Government of the Russian Federation in various fields of study. Training in neural networks for further use in professional activities was considered necessary by 92.5% of respondents. Thus, it was revealed that the modern labor market assumes the availability of personnel with skills to work with artificial intelligence, however, at the moment, the educational programs of universities for the most part cannot provide them.
Authors
- V. Shamis (ORCID: https://orcid.org/0000-0003-4056-1489)
- A. Artem'eva
- A. Lobacevich
Institutions
- Financial University (RU)
Publication Details
- Journal
- Standards and Monitoring in Education
- Published
- 2025-05-18
- DOI
- https://doi.org/10.12737/1998-1740-2025-13-2-7-10
- Primary Topic
- Engineering Education and Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00