Issue |
ITM Web Conf.
Volume 59, 2024
II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023)
|
|
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Article Number | 03014 | |
Number of page(s) | 9 | |
Section | Data Mining, Machine Learning and Patern Recognition | |
DOI | https://doi.org/10.1051/itmconf/20245903014 | |
Published online | 25 January 2024 |
Methodology for assessing the predicted didactic effects from the use of educational and training tools
1
«Expert and Analytical Center»,
33, Talalikhina str.,
Moscow,
109316,
Russia
2
Institute of Astronomy of the Russian Academy of Sciences,
48, Pyatnitskaya str.,
Moscow,
119017,
Russia
3
Mozhaisky Military Space Academy,
13 Zhdanovskaya str.,
St. Petersburg,
197198,
Russia
4
Marine Hydrophysical Institute, Russian Academy of Sciences,
2, Kapitanskaya str.,
Sevastopol,
299011,
Russia
5
Reshetnev Siberian State University of Science and Technology,
31, Krasnoiarskii Rabochii Prospekt,
Krasnoyarsk,
660037,
Russia
6
Laboratory “Hybrid Methods of Modelling and Optimization in Complex Systems”, Siberian Federal University,
79, Prosp. Svobodny,
Krasnoyarsk,
660041,
Russia
* Corresponding author: kartsan2003@mail.ru
The assessment of didactic effect is the most important in evaluating the effectiveness of training simulators. Modern methods of training specialists have shown that the most applicable at present is the step-by-step formation of skills and abilities. The methodology of obtaining the value of a complex indicator that takes into account the degree of influence of didactic possibilities realized in training simulators on the reduction of training time based on the methods of expert evaluation, the method of selecting the main component, convolution of single indicators into private ones and selection of the type of its function of a private indicator
© The Authors, published by EDP Sciences, 2024
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