EDUCATIONAL FLOWS DISTRIBUTION SYSTEM OF UNIVERSITY ACADEMIC GROUPS
Planning of educational flows and academic groups by the Academic department is one of the responsible, complex and labor-intensive tasks solved at the stage of the educational process preparation in the university. When planning the work, the Academic department strives to improve the quality of work in order to achieve the best indicators for the types of educational work. One of the main tasks of the IT educational programs is the data analysis and construction of an automated system. Wide opportunities for the implementation of this goal are provided by the topic of scientific research, which is relevant both for the Academic department, which makes up the teaching load of the university, in which educational flows are involved, and for the university as a whole, for the teaching staff of all educational departments. The problem under consideration is really relevant in each higher educational institution and is of scientific interest due to the fact that insufficient attention is paid to mathematical modeling in software development. The aim of the paper is the development and software implementation of the automated system in Python to optimize the business process of distributing educational flows. For the efficiency of writing business processes for optimizing the formation of educational flows and academic groups, the architecture, algorithms and functional model of the software product are described. The functional model of the business process of forming educational flows and academic groups participating in the teaching load calculation at the stage of the educational process preparation at the university is considered. Moreover, the innovative product prototype has been created, which allows us to distribute educational flows evenly and quickly to a large extent, while fulfilling the accepted criteria and limitations of the model. The paper describes the architecture, algorithms and functional model of the software product, which corresponds to the IT field. The development of this innovative program will be useful both for beginners in Python programming and for developers creating their startups.
Authors
- Makar Goryakin
- Polina Batova
- Diana Chigambayeva
Institutions
- Astana Medical University (KZ)
Publication Details
- Journal
- Scientific Journal of Astana IT University
- Published
- 2025-06-30
- DOI
- https://doi.org/10.37943/22vhyr8574
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00