What type of study is this?

Increasing labor productivity by using an automated knowledge and skills monitoring system based on training technologies

View Full Paper

Ask AI

Bookmark

Authors

Observational analysis improves labor productivity in the agro-industrial complex, suggesting a need for effective training systems.

Automated assessment reduces training time for food production tasks by 1.3 to 1.8 times, enhancing efficiency.
Functional requirements for an information system were developed to monitor knowledge in food production, incorporating complex assessment elements.
The methodology utilizes UML diagrams to outline the ontology for training exercises, enabling flexible adaptation for various training needs.
Algorithms for task performance evaluation were created, supporting the effective training and advanced preparation of personnel in food industries.

Полевщиков et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark