Issue |
E3S Web of Conf.
Volume 443, 2023
II International Conference on Environmental Technologies and Engineering for Sustainable Development (ETESD-II 2023)
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Article Number | 06011 | |
Number of page(s) | 8 | |
Section | Computing, Mathematics, Cybernetics, Information and Earth Space Sensing Systems for Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202344306011 | |
Published online | 09 November 2023 |
Automated skills control of food production specialists using a training system
1 Russian Biotechnological University, 11, Volokolamskoe shosse, Moscow, 125080, Russian Federation
2 Moscow State University of Technology and Management named after K.G. Razumovsky (First Cossack University), 29, ulitsa Zemlyanoy Val, Moscow, 109004, Russian Federation
* Corresponding author: i.s.polevshchikov@gmail.com
The article is devoted to the development of information technologies for monitoring knowledge and skills in the training of engineering specialists in the field of food production. A methodology for monitoring the initial skills of these specialists has been developed based on a training and teaching subsystem. The technique consists of automatically generating and evaluating practical tasks using mathematical models of objects of professional activity. The use of an automated information system in the educational process, which includes implementing the specified training and education subsystem functions, will allow to reduce the teacher’s time for preparing and checking assignments; increase the accuracy of assessment of assignments during control, reduce the subjectivity of assessment (compared to checking an assignment by a teacher); reduce the time a student waits for an assessment. The considered methodology will be implemented in the form of automated information system software modules for monitoring knowledge and skills during the training of specialists. The automated information system prototype is currently used at ROSBIOTECH and MSUTU n.a. K.G. Razumovsky when training students in areas of training in the field of automation, informatization, robotization of technological and business processes.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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