E3S Web Conf.
Volume 105, 2019IVth International Innovative Mining Symposium
|Number of page(s)||6|
|Section||Mining Regions’ Sustainable Development|
|Published online||21 June 2019|
Integration of Mobile Voting Services into Mining Engineers Training for Mineral and Resource Sector
Kemerovo State University, Institute of Philology, Foreign Languages and Media communication, Department of Foreign Languages, 650000, 6 Krasnaya st., Kemerovo, Russia
* Corresponding author: email@example.com
Currently, sustainable development is associated with the intellectualization of the mineral resource complex, with careful use of natural resources, with a decrease in the anthropogenic load on the environment. This makes new demands on the training of mining engineers related to the digitization of the mineral and resource sector. Being one of the leading coal mining regions in the world, Kuzbass (Russia) demands from its regional higher educational institutions to follow new educational standards, making ICT, web-sources and e-learning the significant and inherent part of educational process. This paper reveals the author’s experience of integration the mobile voting service (Socrative) into teaching mining engineering students. We conducted the experiment to test this service among mining engineering students. Our methods included interviewing, testing, observations. The received data proved that this mobile service could improve educational process in various ways. The value of mining engineers, provided for new knowledge, is increasing in the process of innovative development of the mineral and resource sector, in which traditional resource-intensive technologies give way to lean production.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/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.