AUTOMATION OF THE SYSTEM FOR INDUSTRIAL PRACTICE AND INTERNSHIPS FOR STUDENTS IN ORGANIZATIONS OUTSIDE OF THE UNIVERSITY
The organization of students' industrial practice during their studies is a key element in preparing specialists, especially in the IT sector, which requires a special approach. Universities usually collaborate with partner companies to create joint solutions, which involves providing material and educational resources, selecting qualified personnel, and exchanging experience. Despite the well-established work of universities and their partners, there are still many inconveniences and unresolved issues regarding coordination during industrial practice, such as determining the placement of students, coordinating the parties involved, and ensuring compliance with requirements, agreeing on criteria, preparing necessary documents, and reporting. The biggest issue, however, is the lack of a unified digital automated platform, which forces all routine work to be done manually and requires passing through numerous administrative steps and approvals across different instances. The purpose of the paper is to investigate and develop an innovative system aimed at introducing digital document management and automating the process of organizing students' industrial practice using modern digital technologies. To enhance efficiency, contemporary technologies were applied, and optimization algorithms and models were developed to improve coordination and management of the process. The system being created meets high requirements for fault tolerance, security, and integration with current IT technologies, which contributes to improving the educational process and strengthening collaboration with partner organizations.
Authors
- Serik Joldasbayev (ORCID: https://orcid.org/0000-0002-8689-1822)
- Orynbassar K. Joldasbayev (ORCID: https://orcid.org/0000-0003-0991-1575)
- Сакен Мамбетов (ORCID: https://orcid.org/0000-0002-7249-5378)
- Aruzhan Bolysbek
- I. Massyrova
Publication Details
- Journal
- NEWS OF THE NATIONAL ACADEMY OF SCIENCES OF THE REPUBLIC OF KAZAKHSTAN
- Published
- 2025-03-23
- DOI
- https://doi.org/10.32014/2025.2518-1726.332
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00