Standard

Building an automatic analysis system of tests results within the analytical unit of the E-learning system of the mass trade workers in JSC 'Russian Railways'. / Gadasina, L. V.; Sedov, M. S.; Kuranova, O. N.

2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 7911560.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Gadasina, LV, Sedov, MS & Kuranova, ON 2016, Building an automatic analysis system of tests results within the analytical unit of the E-learning system of the mass trade workers in JSC 'Russian Railways'. в 2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Proceedings., 7911560, Institute of Electrical and Electronics Engineers Inc., 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016, Chelyabinsk, Российская Федерация, 19/05/16. https://doi.org/10.1109/ICIEAM.2016.7911560

APA

Gadasina, L. V., Sedov, M. S., & Kuranova, O. N. (2016). Building an automatic analysis system of tests results within the analytical unit of the E-learning system of the mass trade workers in JSC 'Russian Railways'. в 2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Proceedings [7911560] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEAM.2016.7911560

Vancouver

Gadasina LV, Sedov MS, Kuranova ON. Building an automatic analysis system of tests results within the analytical unit of the E-learning system of the mass trade workers in JSC 'Russian Railways'. в 2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 7911560 https://doi.org/10.1109/ICIEAM.2016.7911560

Author

Gadasina, L. V. ; Sedov, M. S. ; Kuranova, O. N. / Building an automatic analysis system of tests results within the analytical unit of the E-learning system of the mass trade workers in JSC 'Russian Railways'. 2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016.

BibTeX

@inproceedings{307b6bab5fd34c0fb33adf47d2e15cef,
title = "Building an automatic analysis system of tests results within the analytical unit of the E-learning system of the mass trade workers in JSC 'Russian Railways'",
abstract = "Main internal HR risks as determined by JSC 'Russian Railways' are risks connected with the training level of its staff. Technical learning is a tool to sustain a high knowledge level of the employees and to assess their knowledge level. Presently, the emphasis is on modern information technologies, namely the e-learning system. Using these systems broadens opportunities to analyze employees learning results and allows real-time recording of potential deficiencies in the training level. However, due to a large number of personnel undergoing trainings, there is a necessity to develop methods for automated evaluation of the obtained results that will assist in managerial decisions. This work suggests a clusterization of the technical study outcome for automatization and also provides the necessary metrics for solving the problem.",
keywords = "Centroid Method, cluster analysis, Data Mining, E-Learning, technical education, testing results",
author = "Gadasina, {L. V.} and Sedov, {M. S.} and Kuranova, {O. N.}",
year = "2016",
month = jan,
day = "1",
doi = "10.1109/ICIEAM.2016.7911560",
language = "English",
booktitle = "2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 ; Conference date: 19-05-2016 Through 20-05-2016",

}

RIS

TY - GEN

T1 - Building an automatic analysis system of tests results within the analytical unit of the E-learning system of the mass trade workers in JSC 'Russian Railways'

AU - Gadasina, L. V.

AU - Sedov, M. S.

AU - Kuranova, O. N.

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Main internal HR risks as determined by JSC 'Russian Railways' are risks connected with the training level of its staff. Technical learning is a tool to sustain a high knowledge level of the employees and to assess their knowledge level. Presently, the emphasis is on modern information technologies, namely the e-learning system. Using these systems broadens opportunities to analyze employees learning results and allows real-time recording of potential deficiencies in the training level. However, due to a large number of personnel undergoing trainings, there is a necessity to develop methods for automated evaluation of the obtained results that will assist in managerial decisions. This work suggests a clusterization of the technical study outcome for automatization and also provides the necessary metrics for solving the problem.

AB - Main internal HR risks as determined by JSC 'Russian Railways' are risks connected with the training level of its staff. Technical learning is a tool to sustain a high knowledge level of the employees and to assess their knowledge level. Presently, the emphasis is on modern information technologies, namely the e-learning system. Using these systems broadens opportunities to analyze employees learning results and allows real-time recording of potential deficiencies in the training level. However, due to a large number of personnel undergoing trainings, there is a necessity to develop methods for automated evaluation of the obtained results that will assist in managerial decisions. This work suggests a clusterization of the technical study outcome for automatization and also provides the necessary metrics for solving the problem.

KW - Centroid Method

KW - cluster analysis

KW - Data Mining

KW - E-Learning

KW - technical education

KW - testing results

UR - http://www.scopus.com/inward/record.url?scp=85019260508&partnerID=8YFLogxK

U2 - 10.1109/ICIEAM.2016.7911560

DO - 10.1109/ICIEAM.2016.7911560

M3 - Conference contribution

AN - SCOPUS:85019260508

BT - 2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016

Y2 - 19 May 2016 through 20 May 2016

ER -

ID: 36836359