Vol.11, No.4, November 2022.                                                                                                                                                                              ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Professional Training of Emerging Fuel and Energy Industry Professionals Based on Factor Analysis


Anatoly Kozlov, Svetlana Lapteva


© 2022 Anatoly Kozlov, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 11, Issue 4, Pages 1835-1845, ISSN 2217-8309, DOI: 10.18421/TEM114-51, November 2022.


Received: 12 April 2022.

Revised:   31 July 2022.
Accepted:  19 September 2022.
Published: 25 November 2022.




The development of mathematical competencies and the ability to apply mathematical modeling is one of the key aspects of training engineering experts. The study showed a statistically significant increase in the objective assessment of knowledge in the experimental group compared to the control one (8.12 – 7.56 points on a 10-point scale in the experimental group and 5.15 – 6.68 points in the control one). The largest possible standard deviation in the study is 0.72, which indicates the statistical significance of the results obtained. The proposed methodology differs from the most commonly used design and modular methods in integrity and consistency.


Keywords – – engineering education; factor analysis; mathematical competence; modular training.



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