Indexed metadata

Mathematical Model for Assessing the Balance of Profiles of Educational Programs of Higher Education Institutions

Oleh Ilarionov, Hanna Krasovska, Hryhorii Hnatienko, Kateryna Krasovska, Ravshanbek Zulunov

Source record

Source: Crossref

Published: Oct 21, 2025

DOI: 10.55056/ceur-ws.org/vol-4068/paper16

Open original source ↗

Source abstract

The paper presents a formalized mathematical model for assessing the balance of educational program profiles in Ukrainian higher education institutions. The model is based on constructing a metric profile of program learning outcomes, which enables quantitative evaluation of program coherence and proportionality. The concept of a metric profile is introduced, and a method for calculating the balance coefficient of an educational program is proposed. A clustering approach for program learning outcomes is developed following the structure of the Computer Science Curricula 2023 (CS2023) framework, along with a normalization procedure for credit load comparison across programs. Examples of real educational programs are analyzed to demonstrate the model’s applicability, including the use of radar (petal) charts for profile visualization. The proposed model provides a foundation for developing intelligent systems to support individual learning trajectories and can be adapted to various fields of higher education.

Evidence graph

No public relationships recorded yet.

Integrity note: This page is a factual metadata record created by deterministic ingestion. It is not a claim that the work moves a mathematical frontier or has been independently verified.