| Issue |
E3S Web Conf.
Volume 486, 2024
IX International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-IX 2023)
|
|
|---|---|---|
| Article Number | 04007 | |
| Number of page(s) | 6 | |
| Section | Green Technologies, Climate Change and Environmental Safety and Pollution | |
| DOI | https://doi.org/10.1051/e3sconf/202448604007 | |
| Published online | 07 February 2024 | |
Improving the training of employees of logging enterprises in the field of labor protection
1 Bryansk State University of Engineering and Technology, Bryansk, Russia
2 Bryansk State Technical University, Bryansk, Russia
3 Kazan Federal University, Kazan, Russia
* Corresponding author: sv@bgitu.ru
The improvement of the traditional training system is currently relevant due to the complexity of technology and production processes, especially logging. Improving the effectiveness of training is possible due to the widespread use of digitalization of training. The purpose of the work is to determine the directions of application of new digital technologies to improve the effectiveness of training in the field of labor protection at logging enterprises. The use of electronic courses and multimedia technologies along with traditional training makes the learning process more informative, the use of electronic simulators and simulators allows you to work out practical working skills. The most modern teaching methods include the use of augmented and virtual reality technologies, artificial intelligence, which can significantly increase interest in learning and its effectiveness.
© The Authors, published by EDP Sciences, 2024
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.