Systems Analysis of Admission to Higher Education Institutions

Abstract

The presented study analyses the process of admission to higher education institutions, develops a hierarchical tree of the sub-processes (objectives) of admission and a set-theoretic model of the process.

Aim. The study aims to improve the efficiency of higher education institutions by automating the admission process.

Tasks. The authors identify groups (categories) of applicants to higher education institutions, develop a set-theoretic model of the admission process, and build a hierarchy of the admission process.

Methods. This study uses the methods of systems analysis (structural parametric analysis) and modeling (development of a set-theoretic model).

Results. Different categories of applicants to higher education institutions are analyzed; these categories are presented in the form of sets. A set-theoretic model is developed, which conceptually describes an information system that solves the problem of admission automation. A hierarchical objective tree is developed.

Conclusions. Automation of document submission is one of the key objectives of the modern infrastructure of higher education institutions. Distribution of data flows, protection of personal data, reduction in the time spent on the formation of the personal records of the applicants can improve the efficiency of admission campaigns at universities. A conceptual description of all processes along with the development of their models and hierarchy make it possible to design an information system for admission automation.