E3S Web Conf.
Volume 21, 2017IInd International Innovative Mining Symposium (Devoted to Russian Federation Year of Environment)
|Number of page(s)||8|
|Section||Mining Regions’ Sustainable Development|
|Published online||10 November 2017|
Andragogical Model in Language Training of Mining Specialists
1 Plekhanov Russian University of Economics, Kemerovo Institute (branch), College of information technologies, economics and law, 650992 Kuznetsky Av. 39, Kemerovo, Russia; Ağrı İbrahim Çeçen University, Department of Russian language and Literature, 04100 Erzurum Road 4 km, Ağrı Turkey
2 Plekhanov Russian University of Economics, Kemerovo Institute (branch), Department of Humanities, 650992 Kuznetsky Av. 39, Kemerovo, Russia
3 Plekhanov Russian University of Economics, Kemerovo Institute (branch), Department of Management and Business technologies, 650992 Kuznetsky Av. 39, Kemerovo, Russia
4 Ağrı İbrahim Çeçen University, Department of Russian language and Literature, 04100 Erzurum Road 4 km, Ağrı, Turkey
5 Plekhanov Russian University of Economics, Branches Center, 117997 Stremyanny Lane 36, Moscow, Russia
* Corresponding author: email@example.com
Nowadays foreign language competence is one of the main professional skills of mining engineers. Modern competitive conditions require the ability for meeting production challenges in a foreign language from specialists and managers of mining enterprises. This is the reason of high demand on foreign language training/retraining courses. Language training of adult learners fundamentally differs from children and adolescent education. The article describes the features of andragogical learning model. The authors conclude that distance learning is the most productive education form having a number of obvious advantages over traditional (in-class) one. Interactive learning method that involves active engagement of adult trainees appears to be of the greatest interest due to introduction of modern information and communication technologies for distance learning.
© The Authors, published by EDP Sciences, 2017
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. (http://creativecommons.org/licenses/by/4.0/).
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.