Issue |
SHS Web Conf.
Volume 137, 2022
XI International Conference on Aerospace Education and Staffing for High-Tech Enterprises (AESHE 2021)
|
|
---|---|---|
Article Number | 01023 | |
Number of page(s) | 6 | |
Section | Aerospace Education and Staffing for High-Tech Enterprises | |
DOI | https://doi.org/10.1051/shsconf/202213701023 | |
Published online | 18 April 2022 |
Methodology for the formation of an individual approach in the training of targeted highly qualified specialists at the request of the aviation industry
Department 101 “Design and Certification Aviation Technology”, Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, 125993, Russia
* e-mail: tereshonkovva@mai.ru
Modern higher education is a rather complex process that requires a special methodology for building the process of obtaining education by future specialists. In the aerospace industry, to simplify the process of searching for future employees of enterprises among applicants/students, a tool such as targeted training is used. At the same time, it does not guarantee the effectiveness of training a student, due to the linearity of the process of targeted learning. In addition, inertia is another important problem in targeted training. This paper presents a methodology for implementing individualization of the training of target students, which will solve the problems described above. Enterprises classify targeted queries into three vectors. The first vector covers further vocational education (FVE). It is associated with specific qualifications required by the employer and industry. The second vector is the classical scheme for preparing students. According to this scheme, training takes place according to the list of educational programs implemented by the university. But at the same time, this vector has the largest number of problems. The third vector is full-cycle training. The main aspect is the application of individualization of the learning process and individual tutoring.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.