Modeling the Results of Personnel Training for the Transport Industry

V. Parshina, T. Marushak

2022

Abstract

The competencies acquired during the training are the basis for employers’ assessment of the young specialists’ degree of readiness for specific activities. The purpose of the article is to develop a model of an internal system for assessing the initial state of university applicants and the effectiveness of quantitative and qualitative advancement of students in courses; and on their basis to determine the probability of their successful graduation from the university. The data obtained is proposed to be used in the justification of preventive measures to improve the quality of university graduates training. The results of the study are presented, including the substantiation of methods for assessing the quality of training, the collection of analytical data on quantitative and qualitative characteristics of discrete states of students for a specific educational program. The modeling was carried out on the basis of stochastic Markov processes discrete in time, describing the sequence of possible states of the objects of study with a certain probability. The results obtained are of practical importance for the modernization of quantitative and qualitative results of students’ training based on their systematic assessment in the learning process.

Paper Citation

in Harvard Style

Parshina V. and Marushak T. (2022). Modeling the Results of Personnel Training for the Transport Industry. In Proceedings of the 1st International Scientific and Practical Conference on Transport: Logistics, Construction, Maintenance, Management - Volume 1: TLC2M; ISBN 978-989-758-606-4, SciTePress, pages 170-174. DOI: 10.5220/0011581100003527

in Bibtex Style

@conference{tlc2m22,
author={V. Parshina and T. Marushak},
title={Modeling the Results of Personnel Training for the Transport Industry},
booktitle={Proceedings of the 1st International Scientific and Practical Conference on Transport: Logistics, Construction, Maintenance, Management - Volume 1: TLC2M},
year={2022},
pages={170-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011581100003527},
isbn={978-989-758-606-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Scientific and Practical Conference on Transport: Logistics, Construction, Maintenance, Management - Volume 1: TLC2M
TI - Modeling the Results of Personnel Training for the Transport Industry
SN - 978-989-758-606-4
AU - Parshina V.
AU - Marushak T.
PY - 2022
SP - 170
EP - 174
DO - 10.5220/0011581100003527
PB - SciTePress